2026-05-20T02:26:13 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDC034_W023(6)_2026-03-11 ===
2026-05-20T02:26:13 - INFO: Camera ID: 15091871
2026-05-20T02:26:13 - INFO: Wand ID: 
2026-05-20T02:26:13 - INFO: Recorded At: 2026-03-11T18:03:05Z

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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 1257 stationary frames, 291 remain


→ 1500 (291 images) Phase 1:   0%|          | 0/291 [00:00<?, ?it/s]

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→ 1500 (291 images) Phase 1:  26%|██▌       | 75/291 [00:01<00:03, 58.46it/s]

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→ 1500 (291 images) Phase 1:  37%|███▋      | 107/291 [00:02<00:03, 60.47it/s]

→ 1500 (291 images) Phase 1:  44%|████▍     | 128/291 [00:02<00:01, 83.66it/s]

→ 1500 (291 images) Phase 1:  48%|████▊     | 141/291 [00:02<00:02, 63.81it/s]

→ 1500 (291 images) Phase 1:  54%|█████▍    | 158/291 [00:02<00:02, 60.79it/s]

→ 1500 (291 images) Phase 1:  57%|█████▋    | 167/291 [00:03<00:02, 54.95it/s]

→ 1500 (291 images) Phase 1:  60%|█████▉    | 174/291 [00:03<00:02, 55.38it/s]

→ 1500 (291 images) Phase 1:  66%|██████▌   | 191/291 [00:03<00:01, 73.47it/s]

→ 1500 (291 images) Phase 1:  69%|██████▉   | 201/291 [00:03<00:01, 62.87it/s]

→ 1500 (291 images) Phase 1:  72%|███████▏  | 209/291 [00:03<00:01, 64.70it/s]

→ 1500 (291 images) Phase 1:  77%|███████▋  | 224/291 [00:03<00:00, 76.89it/s]

→ 1500 (291 images) Phase 1:  80%|████████  | 233/291 [00:03<00:00, 66.40it/s]

→ 1500 (291 images) Phase 1:  83%|████████▎ | 241/291 [00:04<00:00, 67.12it/s]

→ 1500 (291 images) Phase 1:  88%|████████▊ | 256/291 [00:04<00:00, 80.26it/s]

→ 1500 (291 images) Phase 1:  91%|█████████ | 265/291 [00:04<00:00, 66.90it/s]

→ 1500 (291 images) Phase 1:  97%|█████████▋| 281/291 [00:04<00:00, 85.91it/s]

→ 1500 (291 images) Phase 1: 100%|██████████| 291/291 [00:04<00:00, 81.04it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/291 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/291 [00:00<00:50,  5.76it/s]

→ 1500 Phase 2: corners:   5%|▍         | 14/291 [00:00<00:04, 59.22it/s]

→ 1500 Phase 2: corners:   9%|▊         | 25/291 [00:00<00:03, 74.46it/s]

→ 1500 Phase 2: corners:  14%|█▍        | 42/291 [00:00<00:02, 99.09it/s]

→ 1500 Phase 2: corners:  19%|█▊        | 54/291 [00:00<00:02, 103.77it/s]

→ 1500 Phase 2: corners:  23%|██▎       | 66/291 [00:00<00:02, 108.63it/s]

→ 1500 Phase 2: corners:  27%|██▋       | 78/291 [00:00<00:01, 111.16it/s]

→ 1500 Phase 2: corners:  31%|███       | 90/291 [00:00<00:01, 112.04it/s]

→ 1500 Phase 2: corners:  36%|███▌      | 104/291 [00:01<00:01, 119.03it/s]

→ 1500 Phase 2: corners:  41%|████      | 118/291 [00:01<00:01, 121.83it/s]

→ 1500 Phase 2: corners:  46%|████▋     | 135/291 [00:01<00:01, 133.79it/s]

→ 1500 Phase 2: corners:  52%|█████▏    | 151/291 [00:01<00:00, 141.13it/s]

→ 1500 Phase 2: corners:  57%|█████▋    | 166/291 [00:01<00:00, 139.95it/s]

→ 1500 Phase 2: corners:  62%|██████▏   | 181/291 [00:01<00:00, 138.56it/s]

→ 1500 Phase 2: corners:  68%|██████▊   | 197/291 [00:01<00:00, 141.34it/s]

→ 1500 Phase 2: corners:  73%|███████▎  | 212/291 [00:01<00:00, 141.75it/s]

→ 1500 Phase 2: corners:  78%|███████▊  | 227/291 [00:01<00:00, 138.96it/s]

→ 1500 Phase 2: corners:  83%|████████▎ | 242/291 [00:02<00:00, 139.80it/s]

→ 1500 Phase 2: corners:  88%|████████▊ | 257/291 [00:02<00:00, 133.98it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 0 untrusted, 291 total


→ 1500 Phase 3: finalize:   0%|          | 0/291 [00:00<?, ?it/s]

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→ 1500 Phase 3: finalize:  22%|██▏       | 65/291 [00:01<00:04, 52.93it/s]

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→ 1500 Phase 3: finalize:  26%|██▋       | 77/291 [00:01<00:04, 53.26it/s]

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→ 1500 Phase 3: finalize:  35%|███▍      | 101/291 [00:01<00:03, 51.76it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 107/291 [00:02<00:03, 51.62it/s]

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→ 1500 Phase 3: finalize:  55%|█████▌    | 161/291 [00:03<00:02, 52.58it/s]

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→ 1500 Phase 3: finalize:  62%|██████▏   | 179/291 [00:03<00:02, 51.77it/s]

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→ 1500 Phase 3: finalize:  66%|██████▌   | 191/291 [00:03<00:01, 51.36it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 197/291 [00:03<00:01, 51.53it/s]

→ 1500 Phase 3: finalize:  70%|██████▉   | 203/291 [00:03<00:01, 51.57it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 209/291 [00:03<00:01, 51.91it/s]

→ 1500 Phase 3: finalize:  74%|███████▍  | 215/291 [00:04<00:01, 52.15it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 221/291 [00:04<00:01, 52.44it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 227/291 [00:04<00:01, 52.75it/s]

→ 1500 Phase 3: finalize:  80%|████████  | 233/291 [00:04<00:01, 53.04it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 239/291 [00:04<00:00, 53.32it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 245/291 [00:04<00:00, 53.58it/s]

→ 1500 Phase 3: finalize:  86%|████████▋ | 251/291 [00:04<00:00, 53.76it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 257/291 [00:04<00:00, 53.93it/s]

→ 1500 Phase 3: finalize:  90%|█████████ | 263/291 [00:04<00:00, 53.98it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 269/291 [00:05<00:00, 54.07it/s]

→ 1500 Phase 3: finalize:  95%|█████████▍| 275/291 [00:05<00:00, 53.98it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 281/291 [00:05<00:00, 54.03it/s]

→ 1500 Phase 3: finalize:  99%|█████████▊| 287/291 [00:05<00:00, 53.93it/s]

                                                                           
[TIMING] 1500 — 291 frames
  Phase 1  radial detect   (parallel)  :   4.72s  (16.2 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.24s  (7.7 ms/frame)
  Phase 2b corner fix      (sequential):   0.07s
  Phase 3  finalize        (sequential):   5.51s  (18.9 ms/frame)
    decode + undistort                 :   2.99s  (10.3 ms/frame)
    corner apply + refinement          :   1.12s  (3.8 ms/frame)
    segment                            :   1.15s  (3.9 ms/frame)
    smooth                             :   0.16s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  12.53s


Processing Rigs:  25%|██▌       | 1/4 [00:19<00:58, 19.55s/it][INFO] Filtered 966 stationary frames, 218 remain


→ 2000L (218 images) Phase 1:   0%|          | 0/218 [00:00<?, ?it/s]

→ 2000L (218 images) Phase 1:   0%|          | 1/218 [00:00<01:58,  1.82it/s]

→ 2000L (218 images) Phase 1:  11%|█         | 23/218 [00:00<00:04, 46.59it/s]

→ 2000L (218 images) Phase 1:  17%|█▋        | 36/218 [00:01<00:04, 40.84it/s]

→ 2000L (218 images) Phase 1:  26%|██▌       | 56/218 [00:01<00:02, 66.95it/s]

→ 2000L (218 images) Phase 1:  32%|███▏      | 69/218 [00:01<00:02, 53.88it/s]

→ 2000L (218 images) Phase 1:  41%|████▏     | 90/218 [00:01<00:01, 77.90it/s]

→ 2000L (218 images) Phase 1:  48%|████▊     | 104/218 [00:01<00:01, 61.27it/s]

→ 2000L (218 images) Phase 1:  56%|█████▌    | 122/218 [00:02<00:01, 78.68it/s]

→ 2000L (218 images) Phase 1:  62%|██████▏   | 135/218 [00:02<00:01, 62.32it/s]

→ 2000L (218 images) Phase 1:  70%|███████   | 153/218 [00:02<00:00, 80.08it/s]

→ 2000L (218 images) Phase 1:  76%|███████▌  | 166/218 [00:02<00:00, 63.30it/s]

→ 2000L (218 images) Phase 1:  85%|████████▍ | 185/218 [00:02<00:00, 82.01it/s]

→ 2000L (218 images) Phase 1:  91%|█████████ | 198/218 [00:03<00:00, 68.42it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/218 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/218 [00:00<00:44,  4.93it/s]

→ 2000L Phase 2: corners:   6%|▋         | 14/218 [00:00<00:03, 52.36it/s]

→ 2000L Phase 2: corners:  11%|█▏        | 25/218 [00:00<00:02, 71.75it/s]

→ 2000L Phase 2: corners:  19%|█▉        | 41/218 [00:00<00:01, 92.37it/s]

→ 2000L Phase 2: corners:  25%|██▌       | 55/218 [00:00<00:01, 105.80it/s]

→ 2000L Phase 2: corners:  32%|███▏      | 70/218 [00:00<00:01, 111.26it/s]

→ 2000L Phase 2: corners:  38%|███▊      | 82/218 [00:00<00:01, 111.11it/s]

→ 2000L Phase 2: corners:  45%|████▍     | 98/218 [00:00<00:00, 123.31it/s]

→ 2000L Phase 2: corners:  51%|█████     | 111/218 [00:01<00:00, 120.24it/s]

→ 2000L Phase 2: corners:  57%|█████▋    | 124/218 [00:01<00:00, 116.29it/s]

→ 2000L Phase 2: corners:  62%|██████▏   | 136/218 [00:01<00:00, 113.79it/s]

→ 2000L Phase 2: corners:  68%|██████▊   | 148/218 [00:01<00:00, 107.83it/s]

→ 2000L Phase 2: corners:  77%|███████▋  | 167/218 [00:01<00:00, 127.93it/s]

→ 2000L Phase 2: corners:  83%|████████▎ | 181/218 [00:01<00:00, 126.56it/s]

→ 2000L Phase 2: corners:  92%|█████████▏| 201/218 [00:01<00:00, 143.14it/s]

                                                                            [PASS2] Frame 0000992: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000993: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000994: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000995: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001006: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001159: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001160: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001161: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000994: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001160: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 4 frames fixed, 5 untrusted, 218 total


→ 2000L Phase 3: finalize:   0%|          | 0/218 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 6/218 [00:00<00:03, 59.30it/s]

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→ 2000L Phase 3: finalize:   8%|▊         | 18/218 [00:00<00:03, 53.12it/s]

→ 2000L Phase 3: finalize:  11%|█         | 24/218 [00:00<00:03, 52.54it/s]

→ 2000L Phase 3: finalize:  14%|█▍        | 30/218 [00:00<00:03, 52.06it/s]

→ 2000L Phase 3: finalize:  17%|█▋        | 36/218 [00:00<00:03, 51.93it/s]

→ 2000L Phase 3: finalize:  19%|█▉        | 42/218 [00:00<00:03, 51.77it/s]

→ 2000L Phase 3: finalize:  22%|██▏       | 48/218 [00:00<00:03, 51.62it/s]

→ 2000L Phase 3: finalize:  25%|██▍       | 54/218 [00:01<00:03, 51.52it/s]

→ 2000L Phase 3: finalize:  28%|██▊       | 60/218 [00:01<00:03, 51.49it/s]

→ 2000L Phase 3: finalize:  30%|███       | 66/218 [00:01<00:02, 51.60it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 72/218 [00:01<00:02, 51.77it/s]

→ 2000L Phase 3: finalize:  36%|███▌      | 78/218 [00:01<00:02, 51.56it/s]

→ 2000L Phase 3: finalize:  39%|███▊      | 84/218 [00:01<00:02, 51.55it/s]

→ 2000L Phase 3: finalize:  41%|████▏     | 90/218 [00:01<00:02, 51.74it/s]

→ 2000L Phase 3: finalize:  44%|████▍     | 96/218 [00:01<00:02, 51.88it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 102/218 [00:01<00:02, 52.14it/s]

→ 2000L Phase 3: finalize:  50%|████▉     | 108/218 [00:02<00:02, 52.34it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 114/218 [00:02<00:01, 52.22it/s]

→ 2000L Phase 3: finalize:  55%|█████▌    | 120/218 [00:02<00:01, 52.69it/s]

→ 2000L Phase 3: finalize:  58%|█████▊    | 126/218 [00:02<00:01, 52.98it/s]

→ 2000L Phase 3: finalize:  61%|██████    | 132/218 [00:02<00:01, 53.19it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 138/218 [00:02<00:01, 53.18it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 144/218 [00:02<00:01, 53.34it/s]

→ 2000L Phase 3: finalize:  69%|██████▉   | 150/218 [00:02<00:01, 53.56it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 156/218 [00:02<00:01, 53.59it/s]

→ 2000L Phase 3: finalize:  74%|███████▍  | 162/218 [00:03<00:01, 53.66it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 168/218 [00:03<00:00, 53.81it/s]

→ 2000L Phase 3: finalize:  80%|███████▉  | 174/218 [00:03<00:00, 53.83it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 180/218 [00:03<00:00, 53.80it/s]

→ 2000L Phase 3: finalize:  85%|████████▌ | 186/218 [00:03<00:00, 53.96it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 192/218 [00:03<00:00, 54.07it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 198/218 [00:03<00:00, 53.96it/s]

→ 2000L Phase 3: finalize:  94%|█████████▎| 204/218 [00:03<00:00, 53.71it/s]

→ 2000L Phase 3: finalize:  96%|█████████▋| 210/218 [00:03<00:00, 53.68it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 216/218 [00:04<00:00, 53.37it/s]

                                                                            
[TIMING] 2000L — 218 frames
  Phase 1  radial detect   (parallel)  :   3.33s  (15.3 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.93s  (8.9 ms/frame)
  Phase 2b corner fix      (sequential):   0.27s
  Phase 3  finalize        (sequential):   4.13s  (18.9 ms/frame)
    decode + undistort                 :   2.21s  (10.1 ms/frame)
    corner apply + refinement          :   0.85s  (3.9 ms/frame)
    segment                            :   0.87s  (4.0 ms/frame)
    smooth                             :   0.12s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   9.67s


Processing Rigs:  50%|█████     | 2/4 [00:33<00:32, 16.01s/it][INFO] Filtered 1016 stationary frames, 231 remain


→ 1000 (231 images) Phase 1:   0%|          | 0/231 [00:00<?, ?it/s]

→ 1000 (231 images) Phase 1:   0%|          | 1/231 [00:00<02:02,  1.88it/s]

→ 1000 (231 images) Phase 1:   6%|▌         | 14/231 [00:00<00:07, 28.70it/s]

→ 1000 (231 images) Phase 1:  13%|█▎        | 30/231 [00:00<00:03, 58.58it/s]

→ 1000 (231 images) Phase 1:  18%|█▊        | 42/231 [00:01<00:03, 47.99it/s]

→ 1000 (231 images) Phase 1:  26%|██▋       | 61/231 [00:01<00:02, 73.30it/s]

→ 1000 (231 images) Phase 1:  32%|███▏      | 73/231 [00:01<00:02, 55.64it/s]

→ 1000 (231 images) Phase 1:  40%|████      | 93/231 [00:01<00:01, 79.49it/s]

→ 1000 (231 images) Phase 1:  46%|████▌     | 106/231 [00:01<00:02, 61.11it/s]

→ 1000 (231 images) Phase 1:  54%|█████▍    | 125/231 [00:02<00:01, 80.11it/s]

→ 1000 (231 images) Phase 1:  60%|█████▉    | 138/231 [00:02<00:01, 62.70it/s]

→ 1000 (231 images) Phase 1:  68%|██████▊   | 157/231 [00:02<00:00, 81.16it/s]

→ 1000 (231 images) Phase 1:  73%|███████▎  | 169/231 [00:02<00:00, 62.65it/s]

→ 1000 (231 images) Phase 1:  82%|████████▏ | 189/231 [00:02<00:00, 82.84it/s]

→ 1000 (231 images) Phase 1:  87%|████████▋ | 202/231 [00:03<00:00, 64.73it/s]

→ 1000 (231 images) Phase 1:  97%|█████████▋| 225/231 [00:03<00:00, 76.35it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/231 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/231 [00:00<00:48,  4.73it/s]

→ 1000 Phase 2: corners:   5%|▌         | 12/231 [00:00<00:04, 45.51it/s]

→ 1000 Phase 2: corners:  11%|█         | 25/231 [00:00<00:02, 73.57it/s]

→ 1000 Phase 2: corners:  17%|█▋        | 40/231 [00:00<00:02, 94.63it/s]

→ 1000 Phase 2: corners:  25%|██▍       | 57/231 [00:00<00:01, 118.06it/s]

→ 1000 Phase 2: corners:  30%|███       | 70/231 [00:00<00:01, 109.08it/s]

→ 1000 Phase 2: corners:  37%|███▋      | 86/231 [00:00<00:01, 119.01it/s]

→ 1000 Phase 2: corners:  44%|████▍     | 102/231 [00:00<00:00, 130.08it/s]

→ 1000 Phase 2: corners:  50%|█████     | 116/231 [00:01<00:00, 128.21it/s]

→ 1000 Phase 2: corners:  56%|█████▋    | 130/231 [00:01<00:00, 129.51it/s]

→ 1000 Phase 2: corners:  63%|██████▎   | 145/231 [00:01<00:00, 132.09it/s]

→ 1000 Phase 2: corners:  69%|██████▉   | 159/231 [00:01<00:00, 132.20it/s]

→ 1000 Phase 2: corners:  75%|███████▍  | 173/231 [00:01<00:00, 129.77it/s]

→ 1000 Phase 2: corners:  82%|████████▏ | 190/231 [00:01<00:00, 137.73it/s]

→ 1000 Phase 2: corners:  89%|████████▊ | 205/231 [00:01<00:00, 136.29it/s]

→ 1000 Phase 2: corners: 100%|██████████| 231/231 [00:01<00:00, 165.95it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 1 untrusted, 231 total


→ 1000 Phase 3: finalize:   0%|          | 0/231 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   3%|▎         | 7/231 [00:00<00:03, 60.73it/s]

→ 1000 Phase 3: finalize:   6%|▌         | 14/231 [00:00<00:03, 57.09it/s]

→ 1000 Phase 3: finalize:   9%|▊         | 20/231 [00:00<00:03, 56.14it/s]

→ 1000 Phase 3: finalize:  11%|█▏        | 26/231 [00:00<00:03, 55.81it/s]

→ 1000 Phase 3: finalize:  14%|█▍        | 32/231 [00:00<00:03, 55.63it/s]

→ 1000 Phase 3: finalize:  16%|█▋        | 38/231 [00:00<00:03, 55.67it/s]

→ 1000 Phase 3: finalize:  19%|█▉        | 44/231 [00:00<00:03, 55.59it/s]

→ 1000 Phase 3: finalize:  22%|██▏       | 50/231 [00:00<00:03, 55.41it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 56/231 [00:01<00:03, 55.19it/s]

→ 1000 Phase 3: finalize:  27%|██▋       | 62/231 [00:01<00:03, 54.94it/s]

→ 1000 Phase 3: finalize:  29%|██▉       | 68/231 [00:01<00:02, 54.57it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 74/231 [00:01<00:02, 54.19it/s]

→ 1000 Phase 3: finalize:  35%|███▍      | 80/231 [00:01<00:02, 53.67it/s]

→ 1000 Phase 3: finalize:  37%|███▋      | 86/231 [00:01<00:02, 53.56it/s]

→ 1000 Phase 3: finalize:  40%|███▉      | 92/231 [00:01<00:02, 53.81it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 98/231 [00:01<00:02, 53.62it/s]

→ 1000 Phase 3: finalize:  45%|████▌     | 104/231 [00:01<00:02, 53.80it/s]

→ 1000 Phase 3: finalize:  48%|████▊     | 110/231 [00:02<00:02, 54.01it/s]

→ 1000 Phase 3: finalize:  50%|█████     | 116/231 [00:02<00:02, 54.14it/s]

→ 1000 Phase 3: finalize:  53%|█████▎    | 122/231 [00:02<00:02, 54.25it/s]

→ 1000 Phase 3: finalize:  55%|█████▌    | 128/231 [00:02<00:01, 54.27it/s]

→ 1000 Phase 3: finalize:  58%|█████▊    | 134/231 [00:02<00:01, 54.18it/s]

→ 1000 Phase 3: finalize:  61%|██████    | 140/231 [00:02<00:01, 54.22it/s]

→ 1000 Phase 3: finalize:  63%|██████▎   | 146/231 [00:02<00:01, 54.11it/s]

→ 1000 Phase 3: finalize:  66%|██████▌   | 152/231 [00:02<00:01, 54.09it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 158/231 [00:02<00:01, 53.51it/s]

→ 1000 Phase 3: finalize:  71%|███████   | 164/231 [00:03<00:01, 53.28it/s]

→ 1000 Phase 3: finalize:  74%|███████▎  | 170/231 [00:03<00:01, 53.33it/s]

→ 1000 Phase 3: finalize:  76%|███████▌  | 176/231 [00:03<00:01, 53.47it/s]

→ 1000 Phase 3: finalize:  79%|███████▉  | 182/231 [00:03<00:00, 53.83it/s]

→ 1000 Phase 3: finalize:  81%|████████▏ | 188/231 [00:03<00:00, 53.83it/s]

→ 1000 Phase 3: finalize:  84%|████████▍ | 194/231 [00:03<00:00, 54.37it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 200/231 [00:03<00:00, 54.82it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 206/231 [00:03<00:00, 54.94it/s]

→ 1000 Phase 3: finalize:  92%|█████████▏| 212/231 [00:03<00:00, 55.06it/s]

→ 1000 Phase 3: finalize:  94%|█████████▍| 218/231 [00:04<00:00, 54.65it/s]

→ 1000 Phase 3: finalize:  97%|█████████▋| 224/231 [00:04<00:00, 54.71it/s]

→ 1000 Phase 3: finalize: 100%|█████████▉| 230/231 [00:04<00:00, 54.74it/s]

                                                                           
[TIMING] 1000 — 231 frames
  Phase 1  radial detect   (parallel)  :   3.59s  (15.6 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.93s  (8.4 ms/frame)
  Phase 2b corner fix      (sequential):   0.05s
  Phase 3  finalize        (sequential):   4.24s  (18.4 ms/frame)
    decode + undistort                 :   2.36s  (10.2 ms/frame)
    corner apply + refinement          :   0.79s  (3.4 ms/frame)
    segment                            :   0.88s  (3.8 ms/frame)
    smooth                             :   0.13s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   9.81s


Processing Rigs:  75%|███████▌  | 3/4 [00:46<00:15, 15.01s/it][INFO] Filtered 1007 stationary frames, 238 remain


→ 2000R (238 images) Phase 1:   0%|          | 0/238 [00:00<?, ?it/s]

→ 2000R (238 images) Phase 1:   0%|          | 1/238 [00:00<02:03,  1.91it/s]

→ 2000R (238 images) Phase 1:   5%|▍         | 11/238 [00:00<00:10, 22.69it/s]

→ 2000R (238 images) Phase 1:  10%|█         | 24/238 [00:00<00:04, 47.62it/s]

→ 2000R (238 images) Phase 1:  14%|█▍        | 33/238 [00:00<00:04, 43.96it/s]

→ 2000R (238 images) Phase 1:  17%|█▋        | 40/238 [00:01<00:04, 49.38it/s]

→ 2000R (238 images) Phase 1:  23%|██▎       | 55/238 [00:01<00:02, 72.57it/s]

→ 2000R (238 images) Phase 1:  27%|██▋       | 65/238 [00:01<00:03, 50.89it/s]

→ 2000R (238 images) Phase 1:  31%|███       | 73/238 [00:01<00:03, 54.59it/s]

→ 2000R (238 images) Phase 1:  37%|███▋      | 88/238 [00:01<00:02, 71.02it/s]

→ 2000R (238 images) Phase 1:  41%|████      | 97/238 [00:01<00:02, 61.04it/s]

→ 2000R (238 images) Phase 1:  44%|████▍     | 105/238 [00:02<00:02, 64.11it/s]

→ 2000R (238 images) Phase 1:  50%|█████     | 119/238 [00:02<00:01, 80.86it/s]

→ 2000R (238 images) Phase 1:  54%|█████▍    | 129/238 [00:02<00:01, 64.68it/s]

→ 2000R (238 images) Phase 1:  58%|█████▊    | 137/238 [00:02<00:01, 67.57it/s]

→ 2000R (238 images) Phase 1:  63%|██████▎   | 149/238 [00:02<00:01, 78.60it/s]

→ 2000R (238 images) Phase 1:  68%|██████▊   | 161/238 [00:02<00:01, 66.71it/s]

→ 2000R (238 images) Phase 1:  71%|███████   | 169/238 [00:02<00:01, 68.67it/s]

→ 2000R (238 images) Phase 1:  77%|███████▋  | 183/238 [00:03<00:00, 84.31it/s]

→ 2000R (238 images) Phase 1:  81%|████████  | 193/238 [00:03<00:00, 67.77it/s]

→ 2000R (238 images) Phase 1:  84%|████████▍ | 201/238 [00:03<00:00, 68.94it/s]

→ 2000R (238 images) Phase 1:  90%|█████████ | 215/238 [00:03<00:00, 84.54it/s]

→ 2000R (238 images) Phase 1:  95%|█████████▍| 226/238 [00:03<00:00, 77.36it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/238 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/238 [00:00<01:13,  3.20it/s]

→ 2000R Phase 2: corners:   5%|▌         | 13/238 [00:00<00:06, 32.71it/s]

→ 2000R Phase 2: corners:   8%|▊         | 20/238 [00:00<00:05, 41.75it/s]

→ 2000R Phase 2: corners:  16%|█▌        | 37/238 [00:00<00:02, 76.74it/s]

→ 2000R Phase 2: corners:  22%|██▏       | 53/238 [00:00<00:01, 98.20it/s]

→ 2000R Phase 2: corners:  28%|██▊       | 67/238 [00:00<00:01, 109.75it/s]

→ 2000R Phase 2: corners:  34%|███▎      | 80/238 [00:01<00:01, 114.66it/s]

→ 2000R Phase 2: corners:  40%|███▉      | 95/238 [00:01<00:01, 124.25it/s]

→ 2000R Phase 2: corners:  46%|████▌     | 109/238 [00:01<00:01, 127.13it/s]

→ 2000R Phase 2: corners:  52%|█████▏    | 123/238 [00:01<00:00, 127.47it/s]

→ 2000R Phase 2: corners:  58%|█████▊    | 138/238 [00:01<00:00, 131.94it/s]

→ 2000R Phase 2: corners:  64%|██████▍   | 152/238 [00:01<00:00, 133.90it/s]

→ 2000R Phase 2: corners:  71%|███████   | 168/238 [00:01<00:00, 140.07it/s]

→ 2000R Phase 2: corners:  77%|███████▋  | 183/238 [00:01<00:00, 130.41it/s]

→ 2000R Phase 2: corners:  85%|████████▍ | 202/238 [00:01<00:00, 145.18it/s]

→ 2000R Phase 2: corners:  92%|█████████▏| 218/238 [00:01<00:00, 149.27it/s]

                                                                            [PASS2] Frame 0000545: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000546: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000547: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000548: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000547: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 2 frames fixed, 3 untrusted, 238 total


→ 2000R Phase 3: finalize:   0%|          | 0/238 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   3%|▎         | 6/238 [00:00<00:04, 55.04it/s]

→ 2000R Phase 3: finalize:   5%|▌         | 12/238 [00:00<00:04, 54.76it/s]

→ 2000R Phase 3: finalize:   8%|▊         | 18/238 [00:00<00:04, 53.42it/s]

→ 2000R Phase 3: finalize:  10%|█         | 24/238 [00:00<00:04, 53.09it/s]

→ 2000R Phase 3: finalize:  13%|█▎        | 30/238 [00:00<00:03, 53.23it/s]

→ 2000R Phase 3: finalize:  15%|█▌        | 36/238 [00:00<00:03, 53.25it/s]

→ 2000R Phase 3: finalize:  18%|█▊        | 42/238 [00:00<00:03, 53.32it/s]

→ 2000R Phase 3: finalize:  20%|██        | 48/238 [00:00<00:03, 53.57it/s]

→ 2000R Phase 3: finalize:  23%|██▎       | 54/238 [00:01<00:03, 53.75it/s]

→ 2000R Phase 3: finalize:  25%|██▌       | 60/238 [00:01<00:03, 53.85it/s]

→ 2000R Phase 3: finalize:  28%|██▊       | 66/238 [00:01<00:03, 53.75it/s]

→ 2000R Phase 3: finalize:  30%|███       | 72/238 [00:01<00:03, 53.72it/s]

→ 2000R Phase 3: finalize:  33%|███▎      | 78/238 [00:01<00:02, 53.67it/s]

→ 2000R Phase 3: finalize:  35%|███▌      | 84/238 [00:01<00:02, 53.57it/s]

→ 2000R Phase 3: finalize:  38%|███▊      | 90/238 [00:01<00:02, 53.45it/s]

→ 2000R Phase 3: finalize:  40%|████      | 96/238 [00:01<00:02, 53.41it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 102/238 [00:01<00:02, 53.40it/s]

→ 2000R Phase 3: finalize:  45%|████▌     | 108/238 [00:02<00:02, 53.26it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 114/238 [00:02<00:02, 53.22it/s]

→ 2000R Phase 3: finalize:  50%|█████     | 120/238 [00:02<00:02, 53.05it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 126/238 [00:02<00:02, 52.76it/s]

→ 2000R Phase 3: finalize:  55%|█████▌    | 132/238 [00:02<00:02, 52.50it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 138/238 [00:02<00:01, 52.33it/s]

→ 2000R Phase 3: finalize:  61%|██████    | 144/238 [00:02<00:01, 51.99it/s]

→ 2000R Phase 3: finalize:  63%|██████▎   | 150/238 [00:02<00:01, 51.85it/s]

→ 2000R Phase 3: finalize:  66%|██████▌   | 156/238 [00:02<00:01, 51.66it/s]

→ 2000R Phase 3: finalize:  68%|██████▊   | 162/238 [00:03<00:01, 51.47it/s]

→ 2000R Phase 3: finalize:  71%|███████   | 168/238 [00:03<00:01, 51.50it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 174/238 [00:03<00:01, 51.53it/s]

→ 2000R Phase 3: finalize:  76%|███████▌  | 180/238 [00:03<00:01, 51.45it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 186/238 [00:03<00:01, 51.39it/s]

→ 2000R Phase 3: finalize:  81%|████████  | 192/238 [00:03<00:00, 51.38it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 198/238 [00:03<00:00, 51.43it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 204/238 [00:03<00:00, 51.45it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 210/238 [00:03<00:00, 51.36it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 216/238 [00:04<00:00, 51.27it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 222/238 [00:04<00:00, 51.42it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 228/238 [00:04<00:00, 51.60it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 234/238 [00:04<00:00, 51.61it/s]

                                                                            
[TIMING] 2000R — 238 frames
  Phase 1  radial detect   (parallel)  :   3.82s  (16.1 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.14s  (9.0 ms/frame)
  Phase 2b corner fix      (sequential):   0.21s
  Phase 3  finalize        (sequential):   4.54s  (19.1 ms/frame)
    decode + undistort                 :   2.42s  (10.2 ms/frame)
    corner apply + refinement          :   0.95s  (4.0 ms/frame)
    segment                            :   0.95s  (4.0 ms/frame)
    smooth                             :   0.14s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  10.71s


Processing Rigs: 100%|██████████| 4/4 [01:01<00:00, 14.90s/it]
Processing Rigs: 100%|██████████| 4/4 [01:01<00:00, 15.41s/it]
[💾] Saved RigFrameDataset to /working/MDC034_W023(6)_2026-03-11/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 978 frames from 4 rigs to /working/MDC034_W023(6)_2026-03-11/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC034_W023(6)_2026-03-11/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 1500: 100 frames selected from 291
[📋] 2000L: 100 frames selected from 218
[📋] 1000: 100 frames selected from 231
[📋] 2000R: 100 frames selected from 238
[💾] Saved RigFrameDataset to /working/MDC034_W023(6)_2026-03-11/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC034_W023(6)_2026-03-11/calibration/debug/1_digitized/rig_frames.json

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

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

Computing max image from bright frames:   0%|          | 0/80 [00:00<?, ?it/s]
Computing max image from bright frames:   1%|▏         | 1/80 [00:04<05:17,  4.02s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:04<02:16,  1.75s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:04<01:29,  1.17s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:04<00:58,  1.30it/s]
Computing max image from bright frames:   8%|▊         | 6/80 [00:05<00:34,  2.16it/s]
Computing max image from bright frames:  10%|█         | 8/80 [00:05<00:22,  3.19it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:05<00:16,  4.28it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:05<00:12,  5.26it/s]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:06<00:20,  3.33it/s]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:06<00:18,  3.61it/s]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:06<00:15,  4.12it/s]
Computing max image from bright frames:  20%|██        | 16/80 [00:07<00:13,  4.84it/s]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:07<00:11,  5.35it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:07<00:08,  7.18it/s]
Computing max image from bright frames:  25%|██▌       | 20/80 [00:07<00:08,  6.78it/s]
Computing max image from bright frames:  26%|██▋       | 21/80 [00:07<00:08,  7.16it/s]
Computing max image from bright frames:  29%|██▉       | 23/80 [00:07<00:06,  8.75it/s]
Computing max image from bright frames:  31%|███▏      | 25/80 [00:07<00:05,  9.92it/s]
Computing max image from bright frames:  34%|███▍      | 27/80 [00:08<00:05, 10.28it/s]
Computing max image from bright frames:  36%|███▋      | 29/80 [00:08<00:05,  9.83it/s]
Computing max image from bright frames:  39%|███▉      | 31/80 [00:09<00:09,  5.18it/s]
Computing max image from bright frames:  40%|████      | 32/80 [00:09<00:08,  5.63it/s]
Computing max image from bright frames:  41%|████▏     | 33/80 [00:10<00:21,  2.22it/s]
Computing max image from bright frames:  42%|████▎     | 34/80 [00:10<00:17,  2.59it/s]
Computing max image from bright frames:  45%|████▌     | 36/80 [00:11<00:11,  3.74it/s]
Computing max image from bright frames:  48%|████▊     | 38/80 [00:11<00:08,  5.13it/s]
Computing max image from bright frames:  49%|████▉     | 39/80 [00:11<00:07,  5.67it/s]
Computing max image from bright frames:  51%|█████▏    | 41/80 [00:11<00:06,  6.29it/s]
Computing max image from bright frames:  54%|█████▍    | 43/80 [00:11<00:04,  7.44it/s]
Computing max image from bright frames:  55%|█████▌    | 44/80 [00:11<00:04,  7.64it/s]
Computing max image from bright frames:  56%|█████▋    | 45/80 [00:12<00:08,  3.99it/s]
Computing max image from bright frames:  57%|█████▊    | 46/80 [00:12<00:07,  4.28it/s]
Computing max image from bright frames:  59%|█████▉    | 47/80 [00:12<00:06,  4.91it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:12<00:04,  6.28it/s]
Computing max image from bright frames:  64%|██████▍   | 51/80 [00:13<00:04,  6.91it/s]
Computing max image from bright frames:  66%|██████▋   | 53/80 [00:13<00:03,  7.04it/s]
Computing max image from bright frames:  69%|██████▉   | 55/80 [00:13<00:03,  8.33it/s]
Computing max image from bright frames:  72%|███████▎  | 58/80 [00:13<00:02,  9.79it/s]
Computing max image from bright frames:  75%|███████▌  | 60/80 [00:14<00:01, 10.31it/s]
Computing max image from bright frames:  78%|███████▊  | 62/80 [00:14<00:01, 10.23it/s]
Computing max image from bright frames:  80%|████████  | 64/80 [00:14<00:01,  8.20it/s]
Computing max image from bright frames:  81%|████████▏ | 65/80 [00:15<00:03,  4.94it/s]
Computing max image from bright frames:  84%|████████▍ | 67/80 [00:15<00:02,  6.24it/s]
Computing max image from bright frames:  86%|████████▋ | 69/80 [00:15<00:01,  7.60it/s]
Computing max image from bright frames:  89%|████████▉ | 71/80 [00:15<00:01,  6.47it/s]
Computing max image from bright frames:  91%|█████████▏| 73/80 [00:16<00:01,  6.55it/s]
Computing max image from bright frames:  95%|█████████▌| 76/80 [00:16<00:00,  8.88it/s]
Computing max image from bright frames:  98%|█████████▊| 78/80 [00:16<00:00,  7.92it/s]
                                                                                       
[✅] Casing detection complete: cx=1043.0, cy=712.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:30,  3.21it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:30,  3.21it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:30,  3.21it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:30,  3.21it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:29,  3.21it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   5%|▌         | 5/100 [00:00<00:06, 14.14it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:06, 14.14it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:06, 14.14it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   7%|▋         | 7/100 [00:00<00:06, 14.14it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:05, 17.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:05, 17.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.002 | Best: {'fx': 370.707} (0.002):   9%|▉         | 9/100 [00:00<00:05, 17.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:00<00:05, 17.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 384.848} (0.004):  11%|█         | 11/100 [00:00<00:05, 17.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 384.848} (0.004):  12%|█▏        | 12/100 [00:00<00:03, 22.54it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  12%|█▏        | 12/100 [00:00<00:03, 22.54it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.003 | Best: {'fx': 406.061} (0.005):  13%|█▎        | 13/100 [00:00<00:03, 22.54it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 406.061} (0.005):  14%|█▍        | 14/100 [00:00<00:03, 22.54it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 23.79it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 23.79it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  16%|█▌        | 16/100 [00:00<00:03, 23.79it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  17%|█▋        | 17/100 [00:00<00:03, 23.79it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.005 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 23.79it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:00<00:03, 23.79it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  20%|██        | 20/100 [00:00<00:02, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.009 | Best: {'fx': 441.414} (0.009):  20%|██        | 20/100 [00:00<00:02, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  21%|██        | 21/100 [00:01<00:02, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.015 | Best: {'fx': 469.697} (0.017):  22%|██▏       | 22/100 [00:01<00:02, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 476.768} (0.021):  23%|██▎       | 23/100 [00:01<00:02, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 476.768} (0.021):  24%|██▍       | 24/100 [00:01<00:03, 24.78it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.011 | Best: {'fx': 476.768} (0.021):  24%|██▍       | 24/100 [00:01<00:03, 24.78it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.013 | Best: {'fx': 476.768} (0.021):  25%|██▌       | 25/100 [00:01<00:03, 24.78it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.033 | Best: {'fx': 490.909} (0.033):  26%|██▌       | 26/100 [00:01<00:02, 24.78it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.044 | Best: {'fx': 497.98} (0.044):  27%|██▋       | 27/100 [00:01<00:02, 24.78it/s] 
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 497.98} (0.044):  28%|██▊       | 28/100 [00:01<00:02, 24.78it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.051 | Best: {'fx': 505.051} (0.051):  29%|██▉       | 29/100 [00:01<00:02, 24.78it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.051 | Best: {'fx': 505.051} (0.051):  30%|███       | 30/100 [00:01<00:02, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.062 | Best: {'fx': 512.121} (0.062):  30%|███       | 30/100 [00:01<00:02, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.081 | Best: {'fx': 519.192} (0.081):  31%|███       | 31/100 [00:01<00:02, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.071 | Best: {'fx': 519.192} (0.081):  32%|███▏      | 32/100 [00:01<00:02, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.104 | Best: {'fx': 526.263} (0.104):  33%|███▎      | 33/100 [00:01<00:02, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.104 | Best: {'fx': 526.263} (0.104):  34%|███▍      | 34/100 [00:01<00:03, 21.94it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.087 | Best: {'fx': 526.263} (0.104):  34%|███▍      | 34/100 [00:01<00:03, 21.94it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.110 | Best: {'fx': 533.333} (0.110):  35%|███▌      | 35/100 [00:01<00:02, 21.94it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.045 | Best: {'fx': 533.333} (0.110):  36%|███▌      | 36/100 [00:01<00:02, 21.94it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.045 | Best: {'fx': 533.333} (0.110):  37%|███▋      | 37/100 [00:01<00:02, 22.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.062 | Best: {'fx': 533.333} (0.110):  37%|███▋      | 37/100 [00:01<00:02, 22.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.054 | Best: {'fx': 533.333} (0.110):  38%|███▊      | 38/100 [00:01<00:02, 22.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.049 | Best: {'fx': 533.333} (0.110):  39%|███▉      | 39/100 [00:01<00:02, 22.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.042 | Best: {'fx': 533.333} (0.110):  40%|████      | 40/100 [00:01<00:02, 22.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.042 | Best: {'fx': 533.333} (0.110):  41%|████      | 41/100 [00:01<00:02, 23.02it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.037 | Best: {'fx': 533.333} (0.110):  41%|████      | 41/100 [00:01<00:02, 23.02it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.036 | Best: {'fx': 533.333} (0.110):  42%|████▏     | 42/100 [00:01<00:02, 23.02it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.034 | Best: {'fx': 533.333} (0.110):  43%|████▎     | 43/100 [00:01<00:02, 23.02it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.039 | Best: {'fx': 533.333} (0.110):  44%|████▍     | 44/100 [00:01<00:02, 23.02it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.033 | Best: {'fx': 533.333} (0.110):  45%|████▌     | 45/100 [00:02<00:02, 23.02it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.033 | Best: {'fx': 533.333} (0.110):  46%|████▌     | 46/100 [00:02<00:02, 25.26it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.027 | Best: {'fx': 533.333} (0.110):  46%|████▌     | 46/100 [00:02<00:02, 25.26it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.031 | Best: {'fx': 533.333} (0.110):  47%|████▋     | 47/100 [00:02<00:02, 25.26it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.029 | Best: {'fx': 533.333} (0.110):  48%|████▊     | 48/100 [00:02<00:02, 25.26it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.029 | Best: {'fx': 533.333} (0.110):  49%|████▉     | 49/100 [00:02<00:02, 23.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.030 | Best: {'fx': 533.333} (0.110):  49%|████▉     | 49/100 [00:02<00:02, 23.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.029 | Best: {'fx': 533.333} (0.110):  50%|█████     | 50/100 [00:02<00:02, 23.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 533.333} (0.110):  51%|█████     | 51/100 [00:02<00:02, 23.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.028 | Best: {'fx': 533.333} (0.110):  52%|█████▏    | 52/100 [00:02<00:02, 23.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 533.333} (0.110):  53%|█████▎    | 53/100 [00:02<00:01, 23.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 533.333} (0.110):  54%|█████▍    | 54/100 [00:02<00:01, 27.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 533.333} (0.110):  54%|█████▍    | 54/100 [00:02<00:01, 27.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.110):  55%|█████▌    | 55/100 [00:02<00:01, 27.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.026 | Best: {'fx': 533.333} (0.110):  56%|█████▌    | 56/100 [00:02<00:01, 27.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.027 | Best: {'fx': 533.333} (0.110):  57%|█████▋    | 57/100 [00:02<00:01, 27.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.110):  58%|█████▊    | 58/100 [00:02<00:01, 27.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 533.333} (0.110):  59%|█████▉    | 59/100 [00:02<00:01, 27.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 533.333} (0.110):  60%|██████    | 60/100 [00:02<00:01, 34.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.026 | Best: {'fx': 533.333} (0.110):  60%|██████    | 60/100 [00:02<00:01, 34.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 533.333} (0.110):  61%|██████    | 61/100 [00:02<00:01, 34.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 533.333} (0.110):  62%|██████▏   | 62/100 [00:02<00:01, 34.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 533.333} (0.110):  63%|██████▎   | 63/100 [00:02<00:01, 34.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 533.333} (0.110):  64%|██████▍   | 64/100 [00:02<00:01, 34.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 533.333} (0.110):  65%|██████▌   | 65/100 [00:02<00:01, 34.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 533.333} (0.110):  66%|██████▌   | 66/100 [00:02<00:00, 34.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 533.333} (0.110):  67%|██████▋   | 67/100 [00:02<00:00, 40.87it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.110):  67%|██████▋   | 67/100 [00:02<00:00, 40.87it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  68%|██████▊   | 68/100 [00:02<00:00, 40.87it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.110):  69%|██████▉   | 69/100 [00:02<00:00, 40.87it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  70%|███████   | 70/100 [00:02<00:00, 40.87it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  71%|███████   | 71/100 [00:02<00:00, 40.87it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  72%|███████▏  | 72/100 [00:02<00:00, 40.87it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  73%|███████▎  | 73/100 [00:02<00:00, 45.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  73%|███████▎  | 73/100 [00:02<00:00, 45.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  74%|███████▍  | 74/100 [00:02<00:00, 45.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  75%|███████▌  | 75/100 [00:02<00:00, 45.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  76%|███████▌  | 76/100 [00:02<00:00, 45.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  77%|███████▋  | 77/100 [00:02<00:00, 45.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  78%|███████▊  | 78/100 [00:02<00:00, 40.80it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.110):  78%|███████▊  | 78/100 [00:02<00:00, 40.80it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  79%|███████▉  | 79/100 [00:02<00:00, 40.80it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  80%|████████  | 80/100 [00:02<00:00, 40.80it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  81%|████████  | 81/100 [00:02<00:00, 40.80it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  82%|████████▏ | 82/100 [00:02<00:00, 40.80it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  83%|████████▎ | 83/100 [00:02<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  83%|████████▎ | 83/100 [00:03<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  84%|████████▍ | 84/100 [00:03<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  85%|████████▌ | 85/100 [00:03<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  86%|████████▌ | 86/100 [00:03<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  87%|████████▋ | 87/100 [00:03<00:00, 33.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  87%|████████▋ | 87/100 [00:03<00:00, 33.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  88%|████████▊ | 88/100 [00:03<00:00, 33.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  89%|████████▉ | 89/100 [00:03<00:00, 33.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  90%|█████████ | 90/100 [00:03<00:00, 33.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  91%|█████████ | 91/100 [00:03<00:00, 33.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  92%|█████████▏| 92/100 [00:03<00:00, 36.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  92%|█████████▏| 92/100 [00:03<00:00, 36.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  93%|█████████▎| 93/100 [00:03<00:00, 36.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.110):  94%|█████████▍| 94/100 [00:03<00:00, 36.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  95%|█████████▌| 95/100 [00:03<00:00, 36.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  96%|█████████▌| 96/100 [00:03<00:00, 36.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  97%|█████████▋| 97/100 [00:03<00:00, 36.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  98%|█████████▊| 98/100 [00:03<00:00, 35.90it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  98%|█████████▊| 98/100 [00:03<00:00, 35.90it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.110):  99%|█████████▉| 99/100 [00:03<00:00, 35.90it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.056 | Best: {'fx': 508.333} (0.056):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.056 | Best: {'fx': 508.333} (0.056):   2%|▏         | 1/50 [00:00<00:26,  1.86it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.058 | Best: {'fx': 509.354} (0.058):   2%|▏         | 1/50 [00:00<00:26,  1.86it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.058 | Best: {'fx': 510.374} (0.058):   4%|▍         | 2/50 [00:00<00:25,  1.86it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.060 | Best: {'fx': 511.395} (0.060):   6%|▌         | 3/50 [00:00<00:25,  1.86it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.062 | Best: {'fx': 512.415} (0.062):   8%|▊         | 4/50 [00:00<00:24,  1.86it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.062 | Best: {'fx': 512.415} (0.062):  10%|█         | 5/50 [00:00<00:05,  8.26it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.064 | Best: {'fx': 513.435} (0.064):  10%|█         | 5/50 [00:00<00:05,  8.26it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.067 | Best: {'fx': 514.456} (0.067):  12%|█▏        | 6/50 [00:00<00:05,  8.26it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.076 | Best: {'fx': 517.517} (0.076):  14%|█▍        | 7/50 [00:00<00:05,  8.26it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.074 | Best: {'fx': 517.517} (0.076):  16%|█▌        | 8/50 [00:00<00:05,  8.26it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.070 | Best: {'fx': 517.517} (0.076):  18%|█▊        | 9/50 [00:00<00:04,  8.26it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.083 | Best: {'fx': 519.558} (0.083):  20%|██        | 10/50 [00:00<00:04,  8.26it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.083 | Best: {'fx': 519.558} (0.083):  22%|██▏       | 11/50 [00:00<00:02, 16.64it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.089 | Best: {'fx': 521.599} (0.089):  22%|██▏       | 11/50 [00:00<00:02, 16.64it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.079 | Best: {'fx': 521.599} (0.089):  24%|██▍       | 12/50 [00:00<00:02, 16.64it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.086 | Best: {'fx': 521.599} (0.089):  26%|██▌       | 13/50 [00:00<00:02, 16.64it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.094 | Best: {'fx': 522.619} (0.094):  28%|██▊       | 14/50 [00:01<00:02, 16.64it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.094 | Best: {'fx': 522.619} (0.094):  30%|███       | 15/50 [00:01<00:01, 20.60it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.097 | Best: {'fx': 523.639} (0.097):  30%|███       | 15/50 [00:01<00:01, 20.60it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.099 | Best: {'fx': 524.66} (0.099):  32%|███▏      | 16/50 [00:01<00:01, 20.60it/s] 
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.102 | Best: {'fx': 525.68} (0.102):  34%|███▍      | 17/50 [00:01<00:01, 20.60it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.102 | Best: {'fx': 525.68} (0.102):  36%|███▌      | 18/50 [00:01<00:01, 21.65it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.106 | Best: {'fx': 526.701} (0.106):  36%|███▌      | 18/50 [00:01<00:01, 21.65it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.108 | Best: {'fx': 529.762} (0.108):  38%|███▊      | 19/50 [00:01<00:01, 21.65it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.110 | Best: {'fx': 527.721} (0.110):  40%|████      | 20/50 [00:01<00:01, 21.65it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.108 | Best: {'fx': 527.721} (0.110):  42%|████▏     | 21/50 [00:01<00:01, 21.65it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.108 | Best: {'fx': 527.721} (0.110):  44%|████▍     | 22/50 [00:01<00:01, 24.35it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.109 | Best: {'fx': 527.721} (0.110):  44%|████▍     | 22/50 [00:01<00:01, 24.35it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.107 | Best: {'fx': 527.721} (0.110):  46%|████▌     | 23/50 [00:01<00:01, 24.35it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.089 | Best: {'fx': 527.721} (0.110):  48%|████▊     | 24/50 [00:01<00:01, 24.35it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.089 | Best: {'fx': 527.721} (0.110):  50%|█████     | 25/50 [00:01<00:01, 22.46it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.085 | Best: {'fx': 527.721} (0.110):  50%|█████     | 25/50 [00:01<00:01, 22.46it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.080 | Best: {'fx': 527.721} (0.110):  52%|█████▏    | 26/50 [00:01<00:01, 22.46it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.110 | Best: {'fx': 531.803} (0.110):  54%|█████▍    | 27/50 [00:01<00:01, 22.46it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.109 | Best: {'fx': 531.803} (0.110):  56%|█████▌    | 28/50 [00:01<00:00, 22.46it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.083 | Best: {'fx': 531.803} (0.110):  58%|█████▊    | 29/50 [00:01<00:00, 22.46it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.083 | Best: {'fx': 531.803} (0.110):  60%|██████    | 30/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.092 | Best: {'fx': 531.803} (0.110):  60%|██████    | 30/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.097 | Best: {'fx': 531.803} (0.110):  62%|██████▏   | 31/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.104 | Best: {'fx': 531.803} (0.110):  64%|██████▍   | 32/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.110 | Best: {'fx': 532.823} (0.110):  66%|██████▌   | 33/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.076 | Best: {'fx': 532.823} (0.110):  68%|██████▊   | 34/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.079 | Best: {'fx': 532.823} (0.110):  70%|███████   | 35/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.069 | Best: {'fx': 532.823} (0.110):  72%|███████▏  | 36/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.101 | Best: {'fx': 532.823} (0.110):  74%|███████▍  | 37/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.068 | Best: {'fx': 532.823} (0.110):  76%|███████▌  | 38/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.074 | Best: {'fx': 532.823} (0.110):  78%|███████▊  | 39/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.072 | Best: {'fx': 532.823} (0.110):  80%|████████  | 40/50 [00:01<00:00, 28.31it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.072 | Best: {'fx': 532.823} (0.110):  82%|████████▏ | 41/50 [00:01<00:00, 45.54it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.067 | Best: {'fx': 532.823} (0.110):  82%|████████▏ | 41/50 [00:01<00:00, 45.54it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.066 | Best: {'fx': 532.823} (0.110):  84%|████████▍ | 42/50 [00:01<00:00, 45.54it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.064 | Best: {'fx': 532.823} (0.110):  86%|████████▌ | 43/50 [00:01<00:00, 45.54it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.063 | Best: {'fx': 532.823} (0.110):  88%|████████▊ | 44/50 [00:01<00:00, 45.54it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.062 | Best: {'fx': 532.823} (0.110):  90%|█████████ | 45/50 [00:01<00:00, 45.54it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.062 | Best: {'fx': 532.823} (0.110):  92%|█████████▏| 46/50 [00:01<00:00, 44.44it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.058 | Best: {'fx': 532.823} (0.110):  92%|█████████▏| 46/50 [00:01<00:00, 44.44it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.061 | Best: {'fx': 532.823} (0.110):  94%|█████████▍| 47/50 [00:01<00:00, 44.44it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.060 | Best: {'fx': 532.823} (0.110):  96%|█████████▌| 48/50 [00:01<00:00, 44.44it/s]
Brute | Start: {'fx': 533.333} (0.110) | Current: 0.057 | Best: {'fx': 532.823} (0.110):  98%|█████████▊| 49/50 [00:01<00:00, 44.44it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 532.8231292517007
    px: 1043.0
    py: 712.0
    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: 1500(1500mm):20/20, 2000L(2000mm):20/20, 1000(1000mm):20/20, 2000R(2000mm):20/20
  Total: 80/80 frames used for optimization

Initial score: 11.8841: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 11.8841, picklable_objective(x0) = 11.8874

Best score: 11.8874: : 0iter [00:02, ?iter/s] 
Best score: 11.8874: : 1iter [00:02,  2.02s/iter]
Best score: 11.8874: : 1iter [00:02,  2.02s/iter]
Best score: 11.8874: : 2iter [00:02,  2.02s/iter]
Best score: 11.8874: : 3iter [00:02,  1.70iter/s]
Best score: 11.8874: : 3iter [00:02,  1.70iter/s]
Best score: 11.8874: : 4iter [00:02,  1.70iter/s]
Best score: 11.8874: : 5iter [00:02,  3.02iter/s]
Best score: 11.8874: : 5iter [00:02,  3.02iter/s]
Best score: 11.8874: : 6iter [00:02,  3.02iter/s]
Best score: 11.8874: : 7iter [00:02,  4.39iter/s]
Best score: 11.8874: : 7iter [00:02,  4.39iter/s]
Best score: 11.8874: : 8iter [00:02,  4.39iter/s]
Best score: 11.8874: : 9iter [00:02,  5.73iter/s]
Best score: 11.8874: : 9iter [00:02,  5.73iter/s]
Best score: 11.8874: : 10iter [00:02,  5.73iter/s]
Best score: 11.8874: : 11iter [00:02,  6.88iter/s]
Best score: 11.8874: : 11iter [00:02,  6.88iter/s]
Best score: 11.8874: : 12iter [00:03,  6.88iter/s]
Best score: 11.8874: : 13iter [00:03,  7.93iter/s]
Best score: 11.8874: : 13iter [00:03,  7.93iter/s]
Best score: 11.8874: : 14iter [00:03,  7.93iter/s]
Best score: 11.8874: : 15iter [00:03,  8.81iter/s]
Best score: 11.8874: : 15iter [00:03,  8.81iter/s]
Best score: 11.8874: : 16iter [00:03,  8.81iter/s]
Best score: 11.8874: : 17iter [00:03,  9.52iter/s]
Best score: 11.8874: : 17iter [00:03,  9.52iter/s]
Best score: 11.8874: : 18iter [00:03,  9.52iter/s]
Best score: 11.8874: : 19iter [00:03, 10.04iter/s]
Best score: 11.8874: : 19iter [00:03, 10.04iter/s]
Best score: 11.8874: : 20iter [00:03, 10.04iter/s]
Best score: 11.8874: : 21iter [00:03, 10.33iter/s]
Best score: 11.8874: : 21iter [00:03, 10.33iter/s]
Best score: 11.8874: : 22iter [00:03, 10.33iter/s]
Best score: 11.8874: : 23iter [00:03, 10.71iter/s]
Best score: 11.8874: : 23iter [00:04, 10.71iter/s]
Best score: 11.8874: : 24iter [00:04, 10.71iter/s]
Best score: 11.8874: : 25iter [00:04, 10.94iter/s]
Best score: 11.8874: : 25iter [00:04, 10.94iter/s]
Best score: 11.8874: : 26iter [00:04, 10.94iter/s]
Best score: 11.8874: : 27iter [00:04, 11.11iter/s]
Best score: 11.8874: : 27iter [00:04, 11.11iter/s]
Best score: 11.8874: : 28iter [00:04, 11.11iter/s]
Best score: 11.8874: : 29iter [00:04, 11.29iter/s]
Best score: 11.8874: : 29iter [00:04, 11.29iter/s]
Best score: 11.8874: : 30iter [00:04, 11.29iter/s]
Best score: 11.8874: : 31iter [00:04, 11.22iter/s]
Best score: 11.8874: : 31iter [00:04, 11.22iter/s]
Best score: 11.8874: : 32iter [00:04, 11.22iter/s]
Best score: 11.8874: : 33iter [00:04, 11.33iter/s]
Best score: 11.8874: : 33iter [00:04, 11.33iter/s]
Best score: 11.8874: : 34iter [00:04, 11.33iter/s]
Best score: 11.8874: : 35iter [00:04, 11.44iter/s]
Best score: 11.8874: : 35iter [00:05, 11.44iter/s]
Best score: 11.8874: : 36iter [00:05, 11.44iter/s]
Best score: 11.8874: : 37iter [00:05, 11.49iter/s]
Best score: 11.8874: : 37iter [00:05, 11.49iter/s]
Best score: 11.8874: : 38iter [00:05, 11.49iter/s]
Best score: 11.8874: : 39iter [00:05, 11.57iter/s]
Best score: 11.8874: : 39iter [00:05, 11.57iter/s]
Best score: 11.8874: : 40iter [00:05, 11.57iter/s]
Best score: 11.8874: : 41iter [00:05, 11.51iter/s]
Best score: 11.8874: : 41iter [00:05, 11.51iter/s]
Best score: 11.8874: : 42iter [00:05, 11.51iter/s]
Best score: 11.8874: : 43iter [00:05, 11.56iter/s]
Best score: 11.8874: : 43iter [00:05, 11.56iter/s]
Best score: 11.8874: : 44iter [00:05, 11.56iter/s]
Best score: 11.8874: : 45iter [00:05, 11.62iter/s]
Best score: 11.8874: : 45iter [00:05, 11.62iter/s]
Best score: 11.8874: : 46iter [00:06, 11.62iter/s]
Best score: 11.8874: : 47iter [00:06, 11.64iter/s]
Best score: 11.8874: : 47iter [00:06, 11.64iter/s]
Best score: 11.8874: : 48iter [00:06, 11.64iter/s]
Best score: 11.8874: : 49iter [00:06, 11.62iter/s]
[ITER 50] Best: 11.8874
[PARAMS] Current best parameters:
  fx: 532.8231
  fy: 532.8231
  px: 1043.0000
  py: 712.0000
  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: 11.8874: : 49iter [00:06, 11.62iter/s]
Best score: 11.8874: : 50iter [00:06, 11.62iter/s]
Best score: 11.8874: : 51iter [00:06, 11.48iter/s]
Best score: 11.8874: : 51iter [00:06, 11.48iter/s]
Best score: 11.8874: : 52iter [00:06, 11.48iter/s]
Best score: 11.8874: : 53iter [00:06, 11.58iter/s]
Best score: 11.8874: : 53iter [00:06, 11.58iter/s]
Best score: 11.8874: : 54iter [00:06, 11.58iter/s]
Best score: 11.8874: : 55iter [00:06, 11.63iter/s]
Best score: 11.8874: : 55iter [00:06, 11.63iter/s]
Best score: 11.8874: : 56iter [00:06, 11.63iter/s]
Best score: 11.8874: : 57iter [00:06, 11.73iter/s]
Best score: 11.8874: : 57iter [00:06, 11.73iter/s]
Best score: 11.8874: : 58iter [00:07, 11.73iter/s]
Best score: 11.8874: : 59iter [00:07, 11.70iter/s]
Best score: 11.8874: : 59iter [00:07, 11.70iter/s]
Best score: 11.8874: : 60iter [00:07, 11.70iter/s]
Best score: 11.8874: : 61iter [00:07, 11.56iter/s]
Best score: 11.8874: : 61iter [00:07, 11.56iter/s]
Best score: 11.8874: : 62iter [00:07, 11.56iter/s]
Best score: 11.8874: : 63iter [00:07, 11.65iter/s]
Best score: 11.8874: : 63iter [00:07, 11.65iter/s]
Best score: 11.8874: : 64iter [00:07, 11.65iter/s]
Best score: 11.8874: : 65iter [00:07, 11.68iter/s]
Best score: 11.8874: : 65iter [00:07, 11.68iter/s]
Best score: 11.8874: : 66iter [00:07, 11.68iter/s]
Best score: 11.8874: : 67iter [00:07, 11.74iter/s]
Best score: 11.8874: : 67iter [00:07, 11.74iter/s]
Best score: 11.8874: : 68iter [00:07, 11.74iter/s]
Best score: 11.8874: : 69iter [00:07, 11.78iter/s]
Best score: 6.8133: : 69iter [00:08, 11.78iter/s] 
Best score: 6.8133: : 70iter [00:08, 11.78iter/s]
Best score: 6.8133: : 71iter [00:08, 11.63iter/s]
Best score: 6.8133: : 71iter [00:08, 11.63iter/s]
Best score: 6.8133: : 72iter [00:08, 11.63iter/s]
Best score: 6.8133: : 73iter [00:08, 11.71iter/s]
Best score: 6.8133: : 73iter [00:08, 11.71iter/s]
Best score: 6.8133: : 74iter [00:08, 11.71iter/s]
Best score: 6.8133: : 75iter [00:08, 11.75iter/s]
Best score: 6.8133: : 75iter [00:08, 11.75iter/s]
Best score: 6.8133: : 76iter [00:08, 11.75iter/s]
Best score: 6.8133: : 77iter [00:08, 11.79iter/s]
Best score: 6.8133: : 77iter [00:08, 11.79iter/s]
Best score: 6.8133: : 78iter [00:08, 11.79iter/s]
Best score: 6.8133: : 79iter [00:08, 11.82iter/s]
Best score: 6.8133: : 79iter [00:08, 11.82iter/s]
Best score: 6.8133: : 80iter [00:08, 11.82iter/s]
Best score: 6.8133: : 81iter [00:08, 11.61iter/s]
Best score: 6.8133: : 81iter [00:09, 11.61iter/s]
Best score: 6.8133: : 82iter [00:09, 11.61iter/s]
Best score: 6.8133: : 83iter [00:09, 11.68iter/s]
Best score: 6.8133: : 83iter [00:09, 11.68iter/s]
Best score: 6.8133: : 84iter [00:09, 11.68iter/s]
Best score: 6.8133: : 85iter [00:09, 11.68iter/s]
Best score: 6.8133: : 85iter [00:09, 11.68iter/s]
Best score: 6.8133: : 86iter [00:09, 11.68iter/s]
Best score: 6.8133: : 87iter [00:09, 11.71iter/s]
Best score: 6.8133: : 87iter [00:09, 11.71iter/s]
Best score: 6.8133: : 88iter [00:09, 11.71iter/s]
Best score: 6.8133: : 89iter [00:09, 11.76iter/s]
Best score: 5.3093: : 89iter [00:09, 11.76iter/s]
Best score: 5.3093: : 90iter [00:09, 11.76iter/s]
Best score: 5.3093: : 91iter [00:09, 11.58iter/s]
Best score: 5.3093: : 91iter [00:09, 11.58iter/s]
Best score: 5.3093: : 92iter [00:09, 11.58iter/s]
Best score: 5.3093: : 93iter [00:09, 11.61iter/s]
Best score: 5.3093: : 93iter [00:10, 11.61iter/s]
Best score: 5.3093: : 94iter [00:10, 11.61iter/s]
Best score: 5.3093: : 95iter [00:10, 11.68iter/s]
Best score: 5.3093: : 95iter [00:10, 11.68iter/s]
Best score: 5.3093: : 96iter [00:10, 11.68iter/s]
Best score: 5.3093: : 97iter [00:10, 11.72iter/s]
Best score: 5.3093: : 97iter [00:10, 11.72iter/s]
Best score: 5.3093: : 98iter [00:10, 11.72iter/s]
Best score: 5.3093: : 99iter [00:10, 11.73iter/s]
[ITER 100] Best: 3.7449
[PARAMS] Current best parameters:
  fx: 527.9211
  fy: 526.6098
  px: 1037.9520
  py: 715.5864
  k1: 0.02421929
  k2: 0.01422499
  k3: -0.03826534
  k4: 0.01340046
  p1: 0.00100510
  p2: 0.00503292
  p3: 0.00475976
  p4: 0.00587519
  s1: -0.0045
  s2: -0.0132
  s3: -0.0057
  s4: -0.0199
  tilt_x: 0.0040
  tilt_y: 0.0229
  scale: 2.9702
  rotation: 0.3807

Best score: 3.7449: : 99iter [00:10, 11.73iter/s]
Best score: 3.7449: : 100iter [00:10, 11.73iter/s]
Best score: 3.7449: : 101iter [00:10, 10.02iter/s]
Best score: 3.7449: : 101iter [00:10, 10.02iter/s]
Best score: 3.7449: : 102iter [00:10, 10.02iter/s]
Best score: 3.7449: : 103iter [00:10, 10.40iter/s]
Best score: 3.7449: : 103iter [00:11, 10.40iter/s]
Best score: 3.7449: : 104iter [00:11, 10.40iter/s]
Best score: 3.7449: : 105iter [00:11, 10.69iter/s]
Best score: 3.7449: : 105iter [00:11, 10.69iter/s]
Best score: 3.7449: : 106iter [00:11, 10.69iter/s]
Best score: 3.7449: : 107iter [00:11, 10.92iter/s]
Best score: 3.7449: : 107iter [00:11, 10.92iter/s]
Best score: 3.7449: : 108iter [00:11, 10.92iter/s]
Best score: 3.7449: : 109iter [00:11, 11.10iter/s]
Best score: 3.7449: : 109iter [00:11, 11.10iter/s]
Best score: 3.7449: : 110iter [00:11, 11.10iter/s]
Best score: 3.7449: : 111iter [00:11, 11.01iter/s]
Best score: 3.7449: : 111iter [00:11, 11.01iter/s]
Best score: 3.7449: : 112iter [00:11, 11.01iter/s]
Best score: 3.7449: : 113iter [00:11, 11.17iter/s]
Best score: 3.7449: : 113iter [00:11, 11.17iter/s]
Best score: 3.7449: : 114iter [00:11, 11.17iter/s]
Best score: 3.7449: : 115iter [00:11, 11.27iter/s]
Best score: 3.7449: : 115iter [00:12, 11.27iter/s]
Best score: 3.7449: : 116iter [00:12, 11.27iter/s]
Best score: 3.7449: : 117iter [00:12, 11.37iter/s]
Best score: 3.7449: : 117iter [00:12, 11.37iter/s]
Best score: 3.7449: : 118iter [00:12, 11.37iter/s]
Best score: 3.7449: : 119iter [00:12, 11.45iter/s]
Best score: 3.7449: : 119iter [00:12, 11.45iter/s]
Best score: 3.7449: : 120iter [00:12, 11.45iter/s]
Best score: 3.7449: : 121iter [00:12, 11.32iter/s]
Best score: 3.7449: : 121iter [00:12, 11.32iter/s]
Best score: 3.7449: : 122iter [00:12, 11.32iter/s]
Best score: 3.7449: : 123iter [00:12, 11.36iter/s]
Best score: 3.7449: : 123iter [00:12, 11.36iter/s]
Best score: 3.7449: : 124iter [00:12, 11.36iter/s]
Best score: 3.7449: : 125iter [00:12, 11.42iter/s]
Best score: 3.7449: : 125iter [00:12, 11.42iter/s]
Best score: 3.7449: : 126iter [00:13, 11.42iter/s]
Best score: 3.7449: : 127iter [00:13, 11.46iter/s]
Best score: 3.7449: : 127iter [00:13, 11.46iter/s]
Best score: 3.7449: : 128iter [00:13, 11.46iter/s]
Best score: 3.7449: : 129iter [00:13, 11.43iter/s]
Best score: 3.7449: : 129iter [00:13, 11.43iter/s]
Best score: 3.7449: : 130iter [00:13, 11.43iter/s]
Best score: 3.7449: : 131iter [00:13, 11.24iter/s]
Best score: 3.7449: : 131iter [00:13, 11.24iter/s]
Best score: 3.7449: : 132iter [00:13, 11.24iter/s]
Best score: 3.7449: : 133iter [00:13, 11.38iter/s]
Best score: 3.7449: : 133iter [00:13, 11.38iter/s]
Best score: 3.7449: : 134iter [00:13, 11.38iter/s]
Best score: 3.7449: : 135iter [00:13, 11.44iter/s]
Best score: 3.7449: : 135iter [00:13, 11.44iter/s]
Best score: 3.7449: : 136iter [00:13, 11.44iter/s]
Best score: 3.7449: : 137iter [00:13, 11.46iter/s]
Best score: 3.7449: : 137iter [00:13, 11.46iter/s]
Best score: 3.7449: : 138iter [00:14, 11.46iter/s]
Best score: 3.7449: : 139iter [00:14, 11.47iter/s]
Best score: 3.7449: : 139iter [00:14, 11.47iter/s]
Best score: 3.7449: : 140iter [00:14, 11.47iter/s]
Best score: 3.7449: : 141iter [00:14, 11.33iter/s]
Best score: 3.7449: : 141iter [00:14, 11.33iter/s]
Best score: 3.7449: : 142iter [00:14, 11.33iter/s]
Best score: 3.7449: : 143iter [00:14, 11.44iter/s]
Best score: 3.7449: : 143iter [00:14, 11.44iter/s]
Best score: 3.7449: : 144iter [00:14, 11.44iter/s]
Best score: 3.7449: : 145iter [00:14, 11.48iter/s]
Best score: 3.7449: : 145iter [00:14, 11.48iter/s]
Best score: 3.7449: : 146iter [00:14, 11.48iter/s]
Best score: 3.7449: : 147iter [00:14, 11.51iter/s]
Best score: 3.7449: : 147iter [00:14, 11.51iter/s]
Best score: 3.7449: : 148iter [00:14, 11.51iter/s]
Best score: 3.7449: : 149iter [00:14, 11.59iter/s]
[ITER 150] Best: 3.7449
[PARAMS] Current best parameters:
  fx: 527.9211
  fy: 526.6098
  px: 1037.9520
  py: 715.5864
  k1: 0.02421929
  k2: 0.01422499
  k3: -0.03826534
  k4: 0.01340046
  p1: 0.00100510
  p2: 0.00503292
  p3: 0.00475976
  p4: 0.00587519
  s1: -0.0045
  s2: -0.0132
  s3: -0.0057
  s4: -0.0199
  tilt_x: 0.0040
  tilt_y: 0.0229
  scale: 2.9702
  rotation: 0.3807

Best score: 3.7449: : 149iter [00:15, 11.59iter/s]
[Periodic outlier @ iter 50] Removing 2000L frame 6 (score=44.33, threshold=25.34)
  Remaining frames: 79

Best score: 3.7449: : 150iter [00:15, 11.59iter/s]
Best score: 3.7449: : 151iter [00:15,  6.51iter/s]
Best score: 3.7449: : 151iter [00:15,  6.51iter/s]
Best score: 3.7449: : 152iter [00:15,  6.51iter/s]
Best score: 3.7449: : 153iter [00:15,  7.52iter/s]
Best score: 3.7449: : 153iter [00:15,  7.52iter/s]
Best score: 3.7449: : 154iter [00:15,  7.52iter/s]
Best score: 3.7449: : 155iter [00:15,  8.45iter/s]
Best score: 3.7449: : 155iter [00:15,  8.45iter/s]
Best score: 3.7449: : 156iter [00:16,  8.45iter/s]
Best score: 3.7449: : 157iter [00:16,  9.22iter/s]
Best score: 3.7449: : 157iter [00:16,  9.22iter/s]
Best score: 3.7449: : 158iter [00:16,  9.22iter/s]
Best score: 3.7449: : 159iter [00:16,  9.84iter/s]
Best score: 3.1732: : 159iter [00:16,  9.84iter/s]
Best score: 3.1732: : 160iter [00:16,  9.84iter/s]
Best score: 3.1732: : 161iter [00:16, 10.19iter/s]
Best score: 3.1732: : 161iter [00:16, 10.19iter/s]
Best score: 3.1732: : 162iter [00:16, 10.19iter/s]
Best score: 3.1732: : 163iter [00:16, 10.61iter/s]
Best score: 3.1732: : 163iter [00:16, 10.61iter/s]
Best score: 3.1732: : 164iter [00:16, 10.61iter/s]
Best score: 3.1732: : 165iter [00:16, 10.96iter/s]
Best score: 3.1732: : 165iter [00:16, 10.96iter/s]
Best score: 3.1732: : 166iter [00:16, 10.96iter/s]
Best score: 3.1732: : 167iter [00:16, 11.20iter/s]
Best score: 3.1732: : 167iter [00:17, 11.20iter/s]
Best score: 3.1732: : 168iter [00:17, 11.20iter/s]
Best score: 3.1732: : 169iter [00:17, 11.35iter/s]
Best score: 3.1732: : 169iter [00:17, 11.35iter/s]
Best score: 3.1732: : 170iter [00:17, 11.35iter/s]
Best score: 3.1732: : 171iter [00:17, 11.31iter/s]
Best score: 3.1732: : 171iter [00:17, 11.31iter/s]
Best score: 3.1732: : 172iter [00:17, 11.31iter/s]
Best score: 3.1732: : 173iter [00:17, 11.45iter/s]
Best score: 3.1732: : 173iter [00:17, 11.45iter/s]
Best score: 3.1732: : 174iter [00:17, 11.45iter/s]
Best score: 3.1732: : 175iter [00:17, 11.51iter/s]
Best score: 3.1732: : 175iter [00:17, 11.51iter/s]
Best score: 3.1732: : 176iter [00:17, 11.51iter/s]
Best score: 3.1732: : 177iter [00:17, 11.56iter/s]
Best score: 3.1732: : 177iter [00:17, 11.56iter/s]
Best score: 3.1732: : 178iter [00:17, 11.56iter/s]
Best score: 3.1732: : 179iter [00:17, 11.55iter/s]
Best score: 3.1732: : 179iter [00:18, 11.55iter/s]
Best score: 3.1732: : 180iter [00:18, 11.55iter/s]
Best score: 3.1732: : 181iter [00:18, 11.46iter/s]
Best score: 3.1732: : 181iter [00:18, 11.46iter/s]
Best score: 3.1732: : 182iter [00:18, 11.46iter/s]
Best score: 3.1732: : 183iter [00:18, 11.56iter/s]
Best score: 3.1732: : 183iter [00:18, 11.56iter/s]
Best score: 3.1732: : 184iter [00:18, 11.56iter/s]
Best score: 3.1732: : 185iter [00:18, 11.65iter/s]
Best score: 3.1732: : 185iter [00:18, 11.65iter/s]
Best score: 3.1732: : 186iter [00:18, 11.65iter/s]
Best score: 3.1732: : 187iter [00:18, 11.70iter/s]
Best score: 3.1732: : 187iter [00:18, 11.70iter/s]
Best score: 3.1732: : 188iter [00:18, 11.70iter/s]
Best score: 3.1732: : 189iter [00:18, 11.71iter/s]
Best score: 3.1732: : 189iter [00:18, 11.71iter/s]
Best score: 3.1732: : 190iter [00:18, 11.71iter/s]
Best score: 3.1732: : 191iter [00:18, 11.52iter/s]
Best score: 3.1732: : 191iter [00:19, 11.52iter/s]
Best score: 3.1732: : 192iter [00:19, 11.52iter/s]
Best score: 3.1732: : 193iter [00:19, 11.57iter/s]
Best score: 3.1732: : 193iter [00:19, 11.57iter/s]
Best score: 3.1732: : 194iter [00:19, 11.57iter/s]
Best score: 3.1732: : 195iter [00:19, 11.61iter/s]
Best score: 3.1732: : 195iter [00:19, 11.61iter/s]
Best score: 3.1732: : 196iter [00:19, 11.61iter/s]
Best score: 3.1732: : 197iter [00:19, 11.65iter/s]
Best score: 3.1732: : 197iter [00:19, 11.65iter/s]
Best score: 3.1732: : 198iter [00:19, 11.65iter/s]
Best score: 3.1732: : 199iter [00:19, 11.71iter/s]
[ITER 200] Best: 3.1732
[PARAMS] Current best parameters:
  fx: 527.9211
  fy: 526.6098
  px: 1037.9520
  py: 715.5864
  k1: 0.02421929
  k2: 0.01422499
  k3: -0.03826534
  k4: 0.01340046
  p1: 0.00100510
  p2: 0.00503292
  p3: 0.00475976
  p4: 0.00587519
  s1: -0.0045
  s2: -0.0132
  s3: -0.0057
  s4: -0.0199
  tilt_x: 0.0040
  tilt_y: 0.0229
  scale: 2.9702
  rotation: 0.3807

Best score: 3.1732: : 199iter [00:19, 11.71iter/s]
Best score: 3.1732: : 200iter [00:20, 11.71iter/s]
Best score: 3.1732: : 201iter [00:20,  7.54iter/s]
Best score: 3.1732: : 201iter [00:20,  7.54iter/s]
Best score: 3.1732: : 202iter [00:20,  7.54iter/s]
Best score: 3.1732: : 203iter [00:20,  8.46iter/s]
Best score: 3.1732: : 203iter [00:20,  8.46iter/s]
Best score: 3.1732: : 204iter [00:20,  8.46iter/s]
Best score: 3.1732: : 205iter [00:20,  9.24iter/s]
Best score: 3.1732: : 205iter [00:20,  9.24iter/s]
Best score: 3.1732: : 206iter [00:20,  9.24iter/s]
Best score: 3.1732: : 207iter [00:20,  9.88iter/s]
Best score: 3.1732: : 207iter [00:20,  9.88iter/s]
Best score: 3.1732: : 208iter [00:20,  9.88iter/s]
Best score: 3.1732: : 209iter [00:20,  8.45iter/s]
Best score: 3.1732: : 209iter [00:21,  8.45iter/s]
Best score: 3.1732: : 210iter [00:21,  8.45iter/s]
Best score: 3.1732: : 211iter [00:21,  9.16iter/s]
Best score: 3.1732: : 211iter [00:21,  9.16iter/s]
Best score: 3.1732: : 212iter [00:21,  9.16iter/s]
Best score: 3.1732: : 213iter [00:21,  9.86iter/s]
Best score: 3.1732: : 213iter [00:21,  9.86iter/s]
Best score: 3.1732: : 214iter [00:21,  9.86iter/s]
Best score: 3.1732: : 215iter [00:21, 10.39iter/s]
Best score: 3.1732: : 215iter [00:21, 10.39iter/s]
Best score: 3.1732: : 216iter [00:21, 10.39iter/s]
Best score: 3.1732: : 217iter [00:21, 10.84iter/s]
Best score: 3.1732: : 217iter [00:21, 10.84iter/s]
Best score: 3.1732: : 218iter [00:21, 10.84iter/s]
Best score: 3.1732: : 219iter [00:21, 11.21iter/s]
Best score: 3.1732: : 219iter [00:21, 11.21iter/s]
Best score: 3.1732: : 220iter [00:22, 11.21iter/s]
Best score: 3.1732: : 221iter [00:22, 11.26iter/s]
Best score: 3.1732: : 221iter [00:22, 11.26iter/s]
Best score: 3.1732: : 222iter [00:22, 11.26iter/s]
Best score: 3.1732: : 223iter [00:22, 11.46iter/s]
Best score: 3.1732: : 223iter [00:22, 11.46iter/s]
Best score: 3.1732: : 224iter [00:22, 11.46iter/s]
Best score: 3.1732: : 225iter [00:22, 11.59iter/s]
Best score: 3.1732: : 225iter [00:22, 11.59iter/s]
Best score: 3.1732: : 226iter [00:22, 11.59iter/s]
Best score: 3.1732: : 227iter [00:22, 11.74iter/s]
Best score: 3.1732: : 227iter [00:22, 11.74iter/s]
Best score: 3.1732: : 228iter [00:22, 11.74iter/s]
Best score: 3.1732: : 229iter [00:22, 11.78iter/s]
Best score: 3.1732: : 229iter [00:22, 11.78iter/s]
Best score: 3.1732: : 230iter [00:22, 11.78iter/s]
Best score: 3.1732: : 231iter [00:22, 11.60iter/s]
Best score: 3.1732: : 231iter [00:22, 11.60iter/s]
Best score: 3.1732: : 232iter [00:23, 11.60iter/s]
Best score: 3.1732: : 233iter [00:23, 11.67iter/s]
Best score: 3.1732: : 233iter [00:23, 11.67iter/s]
Best score: 3.1732: : 234iter [00:23, 11.67iter/s]
Best score: 3.1732: : 235iter [00:23, 11.71iter/s]
Best score: 3.1732: : 235iter [00:23, 11.71iter/s]
Best score: 3.1732: : 236iter [00:23, 11.71iter/s]
Best score: 3.1732: : 237iter [00:23, 11.81iter/s]
Best score: 3.1732: : 237iter [00:23, 11.81iter/s]
Best score: 3.1732: : 238iter [00:23, 11.81iter/s]
Best score: 3.1732: : 239iter [00:23, 11.89iter/s]
Best score: 3.1732: : 239iter [00:23, 11.89iter/s]
Best score: 3.1732: : 240iter [00:23, 11.89iter/s]
Best score: 3.1732: : 241iter [00:23, 11.72iter/s]
Best score: 3.1732: : 241iter [00:23, 11.72iter/s]
Best score: 3.1732: : 242iter [00:23, 11.72iter/s]
Best score: 3.1732: : 243iter [00:23, 11.80iter/s]
Best score: 3.1732: : 243iter [00:23, 11.80iter/s]
Best score: 3.1732: : 244iter [00:24, 11.80iter/s]
Best score: 3.1732: : 245iter [00:24, 11.91iter/s]
Best score: 3.1732: : 245iter [00:24, 11.91iter/s]
Best score: 3.1732: : 246iter [00:24, 11.91iter/s]
Best score: 3.1732: : 247iter [00:24, 11.97iter/s]
Best score: 3.1732: : 247iter [00:24, 11.97iter/s]
Best score: 3.1732: : 248iter [00:24, 11.97iter/s]
Best score: 3.1732: : 249iter [00:24, 12.02iter/s]
[ITER 250] Best: 3.1732
[PARAMS] Current best parameters:
  fx: 527.9211
  fy: 526.6098
  px: 1037.9520
  py: 715.5864
  k1: 0.02421929
  k2: 0.01422499
  k3: -0.03826534
  k4: 0.01340046
  p1: 0.00100510
  p2: 0.00503292
  p3: 0.00475976
  p4: 0.00587519
  s1: -0.0045
  s2: -0.0132
  s3: -0.0057
  s4: -0.0199
  tilt_x: 0.0040
  tilt_y: 0.0229
  scale: 2.9702
  rotation: 0.3807

Best score: 3.1732: : 249iter [00:24, 12.02iter/s]
Best score: 3.1732: : 250iter [00:24, 12.02iter/s]
Best score: 3.1732: : 251iter [00:24,  7.71iter/s]
Best score: 3.1732: : 251iter [00:24,  7.71iter/s]
Best score: 3.1732: : 252iter [00:25,  7.71iter/s]
Best score: 3.1732: : 253iter [00:25,  8.64iter/s]
Best score: 3.1732: : 253iter [00:25,  8.64iter/s]
Best score: 3.1732: : 254iter [00:25,  8.64iter/s]
Best score: 3.1732: : 255iter [00:25,  9.43iter/s]
Best score: 3.1732: : 255iter [00:25,  9.43iter/s]
Best score: 3.1732: : 256iter [00:25,  9.43iter/s]
Best score: 3.1732: : 257iter [00:25, 10.09iter/s]
Best score: 3.1732: : 257iter [00:25, 10.09iter/s]
Best score: 3.1732: : 258iter [00:25, 10.09iter/s]
Best score: 3.1732: : 259iter [00:25, 10.62iter/s]
Best score: 3.0805: : 259iter [00:25, 10.62iter/s]
Best score: 3.0805: : 260iter [00:25, 10.62iter/s]
Best score: 3.0805: : 261iter [00:25, 10.80iter/s]
Best score: 3.0805: : 261iter [00:25, 10.80iter/s]
Best score: 3.0805: : 262iter [00:25, 10.80iter/s]
Best score: 3.0805: : 263iter [00:25, 11.10iter/s]
Best score: 3.0805: : 263iter [00:25, 11.10iter/s]
Best score: 3.0805: : 264iter [00:26, 11.10iter/s]
Best score: 3.0805: : 265iter [00:26, 11.39iter/s]
Best score: 3.0805: : 265iter [00:26, 11.39iter/s]
Best score: 3.0805: : 266iter [00:26, 11.39iter/s]
Best score: 3.0805: : 267iter [00:26, 11.59iter/s]
Best score: 3.0805: : 267iter [00:26, 11.59iter/s]
Best score: 3.0805: : 268iter [00:26, 11.59iter/s]
Best score: 3.0805: : 269iter [00:26, 11.67iter/s]
Best score: 2.0731: : 269iter [00:26, 11.67iter/s]
Best score: 2.0731: : 270iter [00:26, 11.67iter/s]
Best score: 2.0731: : 271iter [00:26, 11.59iter/s]
Best score: 2.0731: : 271iter [00:26, 11.59iter/s]
Best score: 2.0731: : 272iter [00:26, 11.59iter/s]
Best score: 2.0731: : 273iter [00:26, 11.73iter/s]
Best score: 2.0731: : 273iter [00:26, 11.73iter/s]
Best score: 2.0731: : 274iter [00:26, 11.73iter/s]
Best score: 2.0731: : 275iter [00:26, 11.83iter/s]
Best score: 2.0731: : 275iter [00:26, 11.83iter/s]
Best score: 2.0731: : 276iter [00:27, 11.83iter/s]
Best score: 2.0731: : 277iter [00:27, 11.87iter/s]
Best score: 2.0731: : 277iter [00:27, 11.87iter/s]
Best score: 2.0731: : 278iter [00:27, 11.87iter/s]
Best score: 2.0731: : 279iter [00:27, 11.93iter/s]
Best score: 1.5163: : 279iter [00:27, 11.93iter/s]
Best score: 1.5163: : 280iter [00:27, 11.93iter/s]
Best score: 1.5163: : 281iter [00:27, 11.73iter/s]
Best score: 1.5163: : 281iter [00:27, 11.73iter/s]
Best score: 1.5163: : 282iter [00:27, 11.73iter/s]
Best score: 1.5163: : 283iter [00:27, 11.83iter/s]
Best score: 1.5163: : 283iter [00:27, 11.83iter/s]
Best score: 1.5163: : 284iter [00:27, 11.83iter/s]
Best score: 1.5163: : 285iter [00:27, 11.90iter/s]
Best score: 1.5163: : 285iter [00:27, 11.90iter/s]
Best score: 1.5163: : 286iter [00:27, 11.90iter/s]
Best score: 1.5163: : 287iter [00:27, 11.93iter/s]
Best score: 1.5163: : 287iter [00:27, 11.93iter/s]
Best score: 1.5163: : 288iter [00:28, 11.93iter/s]
Best score: 1.5163: : 289iter [00:28, 11.97iter/s]
Best score: 1.5163: : 289iter [00:28, 11.97iter/s]
Best score: 1.5163: : 290iter [00:28, 11.97iter/s]
Best score: 1.5163: : 291iter [00:28, 11.79iter/s]
Best score: 1.5163: : 291iter [00:28, 11.79iter/s]
Best score: 1.5163: : 292iter [00:28, 11.79iter/s]
Best score: 1.5163: : 293iter [00:28, 11.85iter/s]
Best score: 1.5163: : 293iter [00:28, 11.85iter/s]
Best score: 1.5163: : 294iter [00:28, 11.85iter/s]
Best score: 1.5163: : 295iter [00:28, 11.92iter/s]
Best score: 1.5163: : 295iter [00:28, 11.92iter/s]
Best score: 1.5163: : 296iter [00:28, 11.92iter/s]
Best score: 1.5163: : 297iter [00:28, 11.90iter/s]
Best score: 1.5163: : 297iter [00:28, 11.90iter/s]
Best score: 1.5163: : 298iter [00:28, 11.90iter/s]
Best score: 1.5163: : 299iter [00:28, 11.96iter/s]
[ITER 300] Best: 1.1524
[PARAMS] Current best parameters:
  fx: 526.1967
  fy: 527.2178
  px: 1045.3029
  py: 714.8815
  k1: 0.01816200
  k2: -0.03244858
  k3: 0.02465769
  k4: -0.00650701
  p1: 0.00167852
  p2: 0.01598290
  p3: -0.01052948
  p4: 0.00948143
  s1: -0.0009
  s2: -0.0113
  s3: 0.0016
  s4: -0.0126
  tilt_x: 0.0009
  tilt_y: 0.0132
  scale: 3.0092
  rotation: 0.0374

Best score: 1.1524: : 299iter [00:28, 11.96iter/s]
Best score: 1.1524: : 300iter [00:29, 11.96iter/s]
Best score: 1.1524: : 301iter [00:29,  7.65iter/s]
Best score: 1.1524: : 301iter [00:29,  7.65iter/s]
Best score: 1.1524: : 302iter [00:29,  7.65iter/s]
Best score: 1.1524: : 303iter [00:29,  8.58iter/s]
Best score: 1.1524: : 303iter [00:29,  8.58iter/s]
Best score: 1.1524: : 304iter [00:29,  8.58iter/s]
Best score: 1.1524: : 305iter [00:29,  9.40iter/s]
Best score: 1.1524: : 305iter [00:29,  9.40iter/s]
Best score: 1.1524: : 306iter [00:29,  9.40iter/s]
Best score: 1.1524: : 307iter [00:29, 10.05iter/s]
Best score: 1.1524: : 307iter [00:29, 10.05iter/s]
Best score: 1.1524: : 308iter [00:30, 10.05iter/s]
Best score: 1.1524: : 309iter [00:30, 10.56iter/s]
Best score: 1.0831: : 309iter [00:30, 10.56iter/s]
Best score: 1.0831: : 310iter [00:30, 10.56iter/s]
Best score: 1.0831: : 311iter [00:30, 10.81iter/s]
Best score: 1.0831: : 311iter [00:30, 10.81iter/s]
Best score: 1.0831: : 312iter [00:30, 10.81iter/s]
Best score: 1.0831: : 313iter [00:30, 11.17iter/s]
Best score: 1.0831: : 313iter [00:30, 11.17iter/s]
Best score: 1.0831: : 314iter [00:30, 11.17iter/s]
Best score: 1.0831: : 315iter [00:30, 11.38iter/s]
Best score: 1.0831: : 315iter [00:30, 11.38iter/s]
Best score: 1.0831: : 316iter [00:30, 11.38iter/s]
Best score: 1.0831: : 317iter [00:30, 11.55iter/s]
Best score: 1.0831: : 317iter [00:30, 11.55iter/s]
Best score: 1.0831: : 318iter [00:30, 11.55iter/s]
Best score: 1.0831: : 319iter [00:30, 11.69iter/s]
Best score: 0.8974: : 319iter [00:30, 11.69iter/s]
Best score: 0.8974: : 320iter [00:31, 11.69iter/s]
Best score: 0.8974: : 321iter [00:31, 11.57iter/s]
Best score: 0.8974: : 321iter [00:31, 11.57iter/s]
Best score: 0.8974: : 322iter [00:31, 11.57iter/s]
Best score: 0.8974: : 323iter [00:31, 11.72iter/s]
Best score: 0.8974: : 323iter [00:31, 11.72iter/s]
Best score: 0.8974: : 324iter [00:31, 11.72iter/s]
Best score: 0.8974: : 325iter [00:31, 11.81iter/s]
Best score: 0.8974: : 325iter [00:31, 11.81iter/s]
Best score: 0.8974: : 326iter [00:31, 11.81iter/s]
Best score: 0.8974: : 327iter [00:31, 11.87iter/s]
Best score: 0.8974: : 327iter [00:31, 11.87iter/s]
Best score: 0.8974: : 328iter [00:31, 11.87iter/s]
Best score: 0.8974: : 329iter [00:31, 11.93iter/s]
Best score: 0.6228: : 329iter [00:31, 11.93iter/s]
Best score: 0.6228: : 330iter [00:31, 11.93iter/s]
Best score: 0.6228: : 331iter [00:31, 11.77iter/s]
Best score: 0.6228: : 331iter [00:31, 11.77iter/s]
Best score: 0.6228: : 332iter [00:32, 11.77iter/s]
Best score: 0.6228: : 333iter [00:32, 11.86iter/s]
Best score: 0.6228: : 333iter [00:32, 11.86iter/s]
Best score: 0.6228: : 334iter [00:32, 11.86iter/s]
Best score: 0.6228: : 335iter [00:32, 11.92iter/s]
Best score: 0.6228: : 335iter [00:32, 11.92iter/s]
Best score: 0.6228: : 336iter [00:32, 11.92iter/s]
Best score: 0.6228: : 337iter [00:32, 11.92iter/s]
Best score: 0.6228: : 337iter [00:32, 11.92iter/s]
Best score: 0.6228: : 338iter [00:32, 11.92iter/s]
Best score: 0.6228: : 339iter [00:32, 11.90iter/s]
Best score: 0.5645: : 339iter [00:32, 11.90iter/s]
Best score: 0.5645: : 340iter [00:32, 11.90iter/s]
Best score: 0.5645: : 341iter [00:32, 11.69iter/s]
Best score: 0.5645: : 341iter [00:32, 11.69iter/s]
Best score: 0.5645: : 342iter [00:32, 11.69iter/s]
Best score: 0.5645: : 343iter [00:32, 11.81iter/s]
Best score: 0.5645: : 343iter [00:32, 11.81iter/s]
Best score: 0.5645: : 344iter [00:33, 11.81iter/s]
Best score: 0.5645: : 345iter [00:33, 11.85iter/s]
Best score: 0.5645: : 345iter [00:33, 11.85iter/s]
Best score: 0.5645: : 346iter [00:33, 11.85iter/s]
Best score: 0.5645: : 347iter [00:33, 11.84iter/s]
Best score: 0.5645: : 347iter [00:33, 11.84iter/s]
Best score: 0.5645: : 348iter [00:33, 11.84iter/s]
Best score: 0.5645: : 349iter [00:33, 11.88iter/s]
[ITER 350] Best: 0.4127
[PARAMS] Current best parameters:
  fx: 519.5679
  fy: 519.5791
  px: 1043.2074
  py: 715.9902
  k1: 0.00090667
  k2: 0.02176717
  k3: -0.01556320
  k4: 0.00302192
  p1: 0.00234820
  p2: 0.00859274
  p3: 0.00496796
  p4: 0.00669877
  s1: -0.0111
  s2: -0.0075
  s3: -0.0114
  s4: -0.0058
  tilt_x: -0.0032
  tilt_y: 0.0089
  scale: 3.0215
  rotation: 0.1036

Best score: 0.4127: : 349iter [00:33, 11.88iter/s]
Best score: 0.4127: : 350iter [00:33, 11.88iter/s]
Best score: 0.4127: : 351iter [00:33,  7.64iter/s]
Best score: 0.4127: : 351iter [00:33,  7.64iter/s]
Best score: 0.4127: : 352iter [00:34,  7.64iter/s]
Best score: 0.4127: : 353iter [00:34,  8.59iter/s]
Best score: 0.4127: : 353iter [00:34,  8.59iter/s]
Best score: 0.4127: : 354iter [00:34,  8.59iter/s]
Best score: 0.4127: : 355iter [00:34,  9.41iter/s]
Best score: 0.4127: : 355iter [00:34,  9.41iter/s]
Best score: 0.4127: : 356iter [00:34,  9.41iter/s]
Best score: 0.4127: : 357iter [00:34, 10.06iter/s]
Best score: 0.4127: : 357iter [00:34, 10.06iter/s]
Best score: 0.4127: : 358iter [00:34, 10.06iter/s]
Best score: 0.4127: : 359iter [00:34, 10.54iter/s]
Best score: 0.4127: : 359iter [00:34, 10.54iter/s]
Best score: 0.4127: : 360iter [00:34, 10.54iter/s]
Best score: 0.4127: : 361iter [00:34, 10.75iter/s]
Best score: 0.4127: : 361iter [00:34, 10.75iter/s]
Best score: 0.4127: : 362iter [00:34, 10.75iter/s]
Best score: 0.4127: : 363iter [00:34, 11.06iter/s]
Best score: 0.4127: : 363iter [00:34, 11.06iter/s]
Best score: 0.4127: : 364iter [00:35, 11.06iter/s]
Best score: 0.4127: : 365iter [00:35, 11.36iter/s]
Best score: 0.4127: : 365iter [00:35, 11.36iter/s]
Best score: 0.4127: : 366iter [00:35, 11.36iter/s]
Best score: 0.4127: : 367iter [00:35, 11.58iter/s]
Best score: 0.4127: : 367iter [00:35, 11.58iter/s]
Best score: 0.4127: : 368iter [00:35, 11.58iter/s]
Best score: 0.4127: : 369iter [00:35, 11.75iter/s]
Best score: 0.4127: : 369iter [00:35, 11.75iter/s]
Best score: 0.4127: : 370iter [00:35, 11.75iter/s]
Best score: 0.4127: : 371iter [00:35, 11.66iter/s]
Best score: 0.4127: : 371iter [00:35, 11.66iter/s]
Best score: 0.4127: : 372iter [00:35, 11.66iter/s]
Best score: 0.4127: : 373iter [00:35, 11.78iter/s]
Best score: 0.4127: : 373iter [00:35, 11.78iter/s]
Best score: 0.4127: : 374iter [00:35, 11.78iter/s]
Best score: 0.4127: : 375iter [00:35, 11.86iter/s]
Best score: 0.4127: : 375iter [00:35, 11.86iter/s]
Best score: 0.4127: : 376iter [00:36, 11.86iter/s]
Best score: 0.4127: : 377iter [00:36, 11.94iter/s]
Best score: 0.4127: : 377iter [00:36, 11.94iter/s]
Best score: 0.4127: : 378iter [00:36, 11.94iter/s]
Best score: 0.4127: : 379iter [00:36, 11.92iter/s]
Best score: 0.4127: : 379iter [00:36, 11.92iter/s]
Best score: 0.4127: : 380iter [00:36, 11.92iter/s]
Best score: 0.4127: : 381iter [00:36, 11.77iter/s]
Best score: 0.4127: : 381iter [00:36, 11.77iter/s]
Best score: 0.4127: : 382iter [00:36, 11.77iter/s]
Best score: 0.4127: : 383iter [00:36, 11.88iter/s]
Best score: 0.4127: : 383iter [00:36, 11.88iter/s]
Best score: 0.4127: : 384iter [00:36, 11.88iter/s]
Best score: 0.4127: : 385iter [00:36, 11.94iter/s]
Best score: 0.4127: : 385iter [00:36, 11.94iter/s]
Best score: 0.4127: : 386iter [00:36, 11.94iter/s]
Best score: 0.4127: : 387iter [00:36, 12.00iter/s]
Best score: 0.4127: : 387iter [00:36, 12.00iter/s]
Best score: 0.4127: : 388iter [00:37, 12.00iter/s]
Best score: 0.4127: : 389iter [00:37, 12.01iter/s]
Best score: 0.4127: : 389iter [00:37, 12.01iter/s]
Best score: 0.4127: : 390iter [00:37, 12.01iter/s]
Best score: 0.4127: : 391iter [00:37, 11.76iter/s]
Best score: 0.4127: : 391iter [00:37, 11.76iter/s]
Best score: 0.4127: : 392iter [00:37, 11.76iter/s]
Best score: 0.4127: : 393iter [00:37, 11.72iter/s]
Best score: 0.4127: : 393iter [00:37, 11.72iter/s]
Best score: 0.4127: : 394iter [00:37, 11.72iter/s]
Best score: 0.4127: : 395iter [00:37, 11.83iter/s]
Best score: 0.4127: : 395iter [00:37, 11.83iter/s]
Best score: 0.4127: : 396iter [00:37, 11.83iter/s]
Best score: 0.4127: : 397iter [00:37, 11.91iter/s]
Best score: 0.4127: : 397iter [00:37, 11.91iter/s]
Best score: 0.4127: : 398iter [00:37, 11.91iter/s]
Best score: 0.4127: : 399iter [00:37, 11.94iter/s]
[ITER 400] Best: 0.4127
[PARAMS] Current best parameters:
  fx: 519.5679
  fy: 519.5791
  px: 1043.2074
  py: 715.9902
  k1: 0.00090667
  k2: 0.02176717
  k3: -0.01556320
  k4: 0.00302192
  p1: 0.00234820
  p2: 0.00859274
  p3: 0.00496796
  p4: 0.00669877
  s1: -0.0111
  s2: -0.0075
  s3: -0.0114
  s4: -0.0058
  tilt_x: -0.0032
  tilt_y: 0.0089
  scale: 3.0215
  rotation: 0.1036

Best score: 0.4127: : 399iter [00:37, 11.94iter/s]
Best score: 0.4127: : 400iter [00:38, 11.94iter/s]
Best score: 0.4127: : 401iter [00:38,  7.67iter/s]
Best score: 0.4127: : 401iter [00:38,  7.67iter/s]
Best score: 0.4127: : 402iter [00:38,  7.67iter/s]
Best score: 0.4127: : 403iter [00:38,  8.60iter/s]
Best score: 0.4127: : 403iter [00:38,  8.60iter/s]
Best score: 0.4127: : 404iter [00:38,  8.60iter/s]
Best score: 0.4127: : 405iter [00:38,  9.36iter/s]
Best score: 0.4127: : 405iter [00:38,  9.36iter/s]
Best score: 0.4127: : 406iter [00:38,  9.36iter/s]
Best score: 0.4127: : 407iter [00:38, 10.02iter/s]
Best score: 0.4127: : 407iter [00:38, 10.02iter/s]
Best score: 0.4127: : 408iter [00:39, 10.02iter/s]
Best score: 0.4127: : 409iter [00:39, 10.57iter/s]
Best score: 0.3160: : 409iter [00:39, 10.57iter/s]
Best score: 0.3160: : 410iter [00:39, 10.57iter/s]
Best score: 0.3160: : 411iter [00:39, 10.82iter/s]
Best score: 0.3160: : 411iter [00:39, 10.82iter/s]
Best score: 0.3160: : 412iter [00:39, 10.82iter/s]
Best score: 0.3160: : 413iter [00:39, 11.17iter/s]
Best score: 0.3160: : 413iter [00:39, 11.17iter/s]
Best score: 0.3160: : 414iter [00:39, 11.17iter/s]
Best score: 0.3160: : 415iter [00:39, 11.44iter/s]
Best score: 0.3160: : 415iter [00:39, 11.44iter/s]
Best score: 0.3160: : 416iter [00:39, 11.44iter/s]
Best score: 0.3160: : 417iter [00:39, 11.61iter/s]
Best score: 0.3160: : 417iter [00:39, 11.61iter/s]
Best score: 0.3160: : 418iter [00:39, 11.61iter/s]
Best score: 0.3160: : 419iter [00:39, 11.71iter/s]
Best score: 0.3160: : 419iter [00:39, 11.71iter/s]
Best score: 0.3160: : 420iter [00:40, 11.71iter/s]
Best score: 0.3160: : 421iter [00:40, 11.56iter/s]
Best score: 0.3160: : 421iter [00:40, 11.56iter/s]
Best score: 0.3160: : 422iter [00:40, 11.56iter/s]
Best score: 0.3160: : 423iter [00:40, 11.72iter/s]
Best score: 0.3160: : 423iter [00:40, 11.72iter/s]
Best score: 0.3160: : 424iter [00:40, 11.72iter/s]
Best score: 0.3160: : 425iter [00:40, 11.80iter/s]
Best score: 0.3160: : 425iter [00:40, 11.80iter/s]
Best score: 0.3160: : 426iter [00:40, 11.80iter/s]
Best score: 0.3160: : 427iter [00:40, 11.84iter/s]
Best score: 0.3160: : 427iter [00:40, 11.84iter/s]
Best score: 0.3160: : 428iter [00:40, 11.84iter/s]
Best score: 0.3160: : 429iter [00:40, 11.89iter/s]
Best score: 0.2933: : 429iter [00:40, 11.89iter/s]
Best score: 0.2933: : 430iter [00:40, 11.89iter/s]
Best score: 0.2933: : 431iter [00:40, 11.75iter/s]
Best score: 0.2933: : 431iter [00:40, 11.75iter/s]
Best score: 0.2933: : 432iter [00:41, 11.75iter/s]
Best score: 0.2933: : 433iter [00:41, 11.84iter/s]
Best score: 0.2933: : 433iter [00:41, 11.84iter/s]
Best score: 0.2933: : 434iter [00:41, 11.84iter/s]
Best score: 0.2933: : 435iter [00:41, 11.92iter/s]
Best score: 0.2933: : 435iter [00:41, 11.92iter/s]
Best score: 0.2933: : 436iter [00:41, 11.92iter/s]
Best score: 0.2933: : 437iter [00:41, 11.98iter/s]
Best score: 0.2933: : 437iter [00:41, 11.98iter/s]
Best score: 0.2933: : 438iter [00:41, 11.98iter/s]
Best score: 0.2933: : 439iter [00:41, 12.02iter/s]
Best score: 0.2933: : 439iter [00:41, 12.02iter/s]
Best score: 0.2933: : 440iter [00:41, 12.02iter/s]
Best score: 0.2933: : 441iter [00:41, 11.79iter/s]
Best score: 0.2933: : 441iter [00:41, 11.79iter/s]
Best score: 0.2933: : 442iter [00:41, 11.79iter/s]
Best score: 0.2933: : 443iter [00:41, 11.89iter/s]
Best score: 0.2933: : 443iter [00:41, 11.89iter/s]
Best score: 0.2933: : 444iter [00:42, 11.89iter/s]
Best score: 0.2933: : 445iter [00:42, 11.85iter/s]
Best score: 0.2933: : 445iter [00:42, 11.85iter/s]
Best score: 0.2933: : 446iter [00:42, 11.85iter/s]
Best score: 0.2933: : 447iter [00:42, 11.87iter/s]
Best score: 0.2933: : 447iter [00:42, 11.87iter/s]
Best score: 0.2933: : 448iter [00:42, 11.87iter/s]
Best score: 0.2933: : 449iter [00:42, 11.91iter/s]
[ITER 450] Best: 0.2849
[PARAMS] Current best parameters:
  fx: 523.0873
  fy: 522.7767
  px: 1042.1113
  py: 717.0625
  k1: 0.00816118
  k2: 0.00710164
  k3: -0.00823308
  k4: 0.00179452
  p1: -0.00020665
  p2: 0.00791173
  p3: 0.00728042
  p4: 0.00303922
  s1: -0.0156
  s2: -0.0039
  s3: -0.0072
  s4: -0.0056
  tilt_x: 0.0074
  tilt_y: 0.0100
  scale: 3.0073
  rotation: 0.0581

Best score: 0.2849: : 449iter [00:42, 11.91iter/s]
Best score: 0.2849: : 450iter [00:42, 11.91iter/s]
Best score: 0.2849: : 451iter [00:42,  7.61iter/s]
Best score: 0.2849: : 451iter [00:42,  7.61iter/s]
Best score: 0.2849: : 452iter [00:43,  7.61iter/s]
Best score: 0.2849: : 453iter [00:43,  8.56iter/s]
Best score: 0.2849: : 453iter [00:43,  8.56iter/s]
Best score: 0.2849: : 454iter [00:43,  8.56iter/s]
Best score: 0.2849: : 455iter [00:43,  9.38iter/s]
Best score: 0.2849: : 455iter [00:43,  9.38iter/s]
Best score: 0.2849: : 456iter [00:43,  9.38iter/s]
Best score: 0.2849: : 457iter [00:43, 10.00iter/s]
Best score: 0.2849: : 457iter [00:43, 10.00iter/s]
Best score: 0.2849: : 458iter [00:43, 10.00iter/s]
Best score: 0.2849: : 459iter [00:43, 10.55iter/s]
Best score: 0.2849: : 459iter [00:43, 10.55iter/s]
Best score: 0.2849: : 460iter [00:43, 10.55iter/s]
Best score: 0.2849: : 461iter [00:43, 10.80iter/s]
Best score: 0.2849: : 461iter [00:43, 10.80iter/s]
Best score: 0.2849: : 462iter [00:43, 10.80iter/s]
Best score: 0.2849: : 463iter [00:43, 11.13iter/s]
Best score: 0.2849: : 463iter [00:43, 11.13iter/s]
Best score: 0.2849: : 464iter [00:44, 11.13iter/s]
Best score: 0.2849: : 465iter [00:44, 11.39iter/s]
Best score: 0.2849: : 465iter [00:44, 11.39iter/s]
Best score: 0.2849: : 466iter [00:44, 11.39iter/s]
Best score: 0.2849: : 467iter [00:44, 11.57iter/s]
Best score: 0.2849: : 467iter [00:44, 11.57iter/s]
Best score: 0.2849: : 468iter [00:44, 11.57iter/s]
Best score: 0.2849: : 469iter [00:44, 11.69iter/s]
Best score: 0.2849: : 469iter [00:44, 11.69iter/s]
Best score: 0.2849: : 470iter [00:44, 11.69iter/s]
Best score: 0.2849: : 471iter [00:44, 11.59iter/s]
Best score: 0.2849: : 471iter [00:44, 11.59iter/s]
Best score: 0.2849: : 472iter [00:44, 11.59iter/s]
Best score: 0.2849: : 473iter [00:44, 11.73iter/s]
Best score: 0.2849: : 473iter [00:44, 11.73iter/s]
Best score: 0.2849: : 474iter [00:44, 11.73iter/s]
Best score: 0.2849: : 475iter [00:44, 11.83iter/s]
Best score: 0.2849: : 475iter [00:44, 11.83iter/s]
Best score: 0.2849: : 476iter [00:45, 11.83iter/s]
Best score: 0.2849: : 477iter [00:45, 11.90iter/s]
Best score: 0.2849: : 477iter [00:45, 11.90iter/s]
Best score: 0.2849: : 478iter [00:45, 11.90iter/s]
Best score: 0.2849: : 479iter [00:45, 11.95iter/s]
Best score: 0.2847: : 479iter [00:45, 11.95iter/s]
Best score: 0.2847: : 480iter [00:45, 11.95iter/s]
Best score: 0.2847: : 481iter [00:45, 11.79iter/s]
Best score: 0.2847: : 481iter [00:45, 11.79iter/s]
Best score: 0.2847: : 482iter [00:45, 11.79iter/s]
Best score: 0.2847: : 483iter [00:45, 11.83iter/s]
Best score: 0.2847: : 483iter [00:45, 11.83iter/s]
Best score: 0.2847: : 484iter [00:45, 11.83iter/s]
Best score: 0.2847: : 485iter [00:45, 11.90iter/s]
Best score: 0.2847: : 485iter [00:45, 11.90iter/s]
Best score: 0.2847: : 486iter [00:45, 11.90iter/s]
Best score: 0.2847: : 487iter [00:45, 11.96iter/s]
Best score: 0.2847: : 487iter [00:45, 11.96iter/s]
Best score: 0.2847: : 488iter [00:46, 11.96iter/s]
Best score: 0.2847: : 489iter [00:46, 12.01iter/s]
Best score: 0.2645: : 489iter [00:46, 12.01iter/s]
Best score: 0.2645: : 490iter [00:46, 12.01iter/s]
Best score: 0.2645: : 491iter [00:46, 11.84iter/s]
Best score: 0.2645: : 491iter [00:46, 11.84iter/s]
Best score: 0.2645: : 492iter [00:46, 11.84iter/s]
Best score: 0.2645: : 493iter [00:46, 11.93iter/s]
Best score: 0.2645: : 493iter [00:46, 11.93iter/s]
Best score: 0.2645: : 494iter [00:46, 11.93iter/s]
Best score: 0.2645: : 495iter [00:46, 11.98iter/s]
Best score: 0.2645: : 495iter [00:46, 11.98iter/s]
Best score: 0.2645: : 496iter [00:46, 11.98iter/s]
Best score: 0.2645: : 497iter [00:46, 12.01iter/s]
Best score: 0.2645: : 497iter [00:46, 12.01iter/s]
Best score: 0.2645: : 498iter [00:46, 12.01iter/s]
Best score: 0.2645: : 499iter [00:46, 12.01iter/s]
[ITER 500] Best: 0.2460
[PARAMS] Current best parameters:
  fx: 523.7202
  fy: 523.3773
  px: 1043.1883
  py: 717.8907
  k1: 0.01378043
  k2: -0.00886325
  k3: 0.00454213
  k4: -0.00148624
  p1: -0.00316995
  p2: 0.00867122
  p3: 0.00971603
  p4: -0.00056165
  s1: -0.0181
  s2: -0.0005
  s3: -0.0083
  s4: -0.0010
  tilt_x: 0.0181
  tilt_y: 0.0056
  scale: 3.0091
  rotation: 0.0893

Best score: 0.2460: : 499iter [00:47, 12.01iter/s]
Best score: 0.2460: : 500iter [00:47, 12.01iter/s]
Best score: 0.2460: : 501iter [00:47,  7.69iter/s]
Best score: 0.2460: : 501iter [00:47,  7.69iter/s]
Best score: 0.2460: : 502iter [00:47,  7.69iter/s]
Best score: 0.2460: : 503iter [00:47,  8.63iter/s]
Best score: 0.2460: : 503iter [00:47,  8.63iter/s]
Best score: 0.2460: : 504iter [00:47,  8.63iter/s]
Best score: 0.2460: : 505iter [00:47,  9.43iter/s]
Best score: 0.2460: : 505iter [00:47,  9.43iter/s]
Best score: 0.2460: : 506iter [00:47,  9.43iter/s]
Best score: 0.2460: : 507iter [00:47, 10.10iter/s]
Best score: 0.2460: : 507iter [00:47, 10.10iter/s]
Best score: 0.2460: : 508iter [00:48, 10.10iter/s]
Best score: 0.2460: : 509iter [00:48, 10.63iter/s]
Best score: 0.2412: : 509iter [00:48, 10.63iter/s]
Best score: 0.2412: : 510iter [00:48, 10.63iter/s]
Best score: 0.2412: : 511iter [00:48, 10.81iter/s]
Best score: 0.2412: : 511iter [00:48, 10.81iter/s]
Best score: 0.2412: : 512iter [00:48, 10.81iter/s]
Best score: 0.2412: : 513iter [00:48, 11.13iter/s]
Best score: 0.2412: : 513iter [00:48, 11.13iter/s]
Best score: 0.2412: : 514iter [00:48, 11.13iter/s]
Best score: 0.2412: : 515iter [00:48, 11.39iter/s]
Best score: 0.2412: : 515iter [00:48, 11.39iter/s]
Best score: 0.2412: : 516iter [00:48, 11.39iter/s]
Best score: 0.2412: : 517iter [00:48, 11.60iter/s]
Best score: 0.2412: : 517iter [00:48, 11.60iter/s]
Best score: 0.2412: : 518iter [00:48, 11.60iter/s]
Best score: 0.2412: : 519iter [00:48, 11.76iter/s]
Best score: 0.2412: : 519iter [00:48, 11.76iter/s]
Best score: 0.2412: : 520iter [00:49, 11.76iter/s]
Best score: 0.2412: : 521iter [00:49, 11.66iter/s]
Best score: 0.2412: : 521iter [00:49, 11.66iter/s]
Best score: 0.2412: : 522iter [00:49, 11.66iter/s]
Best score: 0.2412: : 523iter [00:49, 11.76iter/s]
Best score: 0.2412: : 523iter [00:49, 11.76iter/s]
Best score: 0.2412: : 524iter [00:49, 11.76iter/s]
Best score: 0.2412: : 525iter [00:49, 11.78iter/s]
Best score: 0.2412: : 525iter [00:49, 11.78iter/s]
Best score: 0.2412: : 526iter [00:49, 11.78iter/s]
Best score: 0.2412: : 527iter [00:49, 11.84iter/s]
Best score: 0.2412: : 527iter [00:49, 11.84iter/s]
Best score: 0.2412: : 528iter [00:49, 11.84iter/s]
Best score: 0.2412: : 529iter [00:49, 11.91iter/s]
Best score: 0.2412: : 529iter [00:49, 11.91iter/s]
Best score: 0.2412: : 530iter [00:49, 11.91iter/s]
Best score: 0.2412: : 531iter [00:49, 11.75iter/s]
Best score: 0.2412: : 531iter [00:49, 11.75iter/s]
Best score: 0.2412: : 532iter [00:50, 11.75iter/s]
Best score: 0.2412: : 533iter [00:50, 11.85iter/s]
Best score: 0.2412: : 533iter [00:50, 11.85iter/s]
Best score: 0.2412: : 534iter [00:50, 11.85iter/s]
Best score: 0.2412: : 535iter [00:50, 11.92iter/s]
Best score: 0.2412: : 535iter [00:50, 11.92iter/s]
Best score: 0.2412: : 536iter [00:50, 11.92iter/s]
Best score: 0.2412: : 537iter [00:50, 11.98iter/s]
Best score: 0.2412: : 537iter [00:50, 11.98iter/s]
Best score: 0.2412: : 538iter [00:50, 11.98iter/s]
Best score: 0.2412: : 539iter [00:50, 12.03iter/s]
Best score: 0.2412: : 539iter [00:50, 12.03iter/s]
Best score: 0.2412: : 540iter [00:50, 12.03iter/s]
Best score: 0.2412: : 541iter [00:50, 11.86iter/s]
Best score: 0.2412: : 541iter [00:50, 11.86iter/s]
Best score: 0.2412: : 542iter [00:50, 11.86iter/s]
Best score: 0.2412: : 543iter [00:50, 11.93iter/s]
Best score: 0.2412: : 543iter [00:50, 11.93iter/s]
Best score: 0.2412: : 544iter [00:51, 11.93iter/s]
Best score: 0.2412: : 545iter [00:51, 12.00iter/s]
Best score: 0.2412: : 545iter [00:51, 12.00iter/s]
Best score: 0.2412: : 546iter [00:51, 12.00iter/s]
Best score: 0.2412: : 547iter [00:51, 12.04iter/s]
Best score: 0.2412: : 547iter [00:51, 12.04iter/s]
Best score: 0.2412: : 548iter [00:51, 12.04iter/s]
Best score: 0.2412: : 549iter [00:51, 12.07iter/s]
[ITER 550] Best: 0.2412
[PARAMS] Current best parameters:
  fx: 526.2506
  fy: 525.8883
  px: 1043.7394
  py: 716.7584
  k1: 0.02302603
  k2: -0.02911499
  k3: 0.01692552
  k4: -0.00404008
  p1: -0.00688544
  p2: 0.01011916
  p3: 0.01209552
  p4: -0.00391666
  s1: -0.0211
  s2: 0.0034
  s3: -0.0083
  s4: 0.0020
  tilt_x: 0.0208
  tilt_y: 0.0061
  scale: 3.0004
  rotation: 0.0742

Best score: 0.2412: : 549iter [00:51, 12.07iter/s]
Best score: 0.2412: : 550iter [00:51, 12.07iter/s]
Best score: 0.2412: : 551iter [00:51,  7.69iter/s]
Best score: 0.2412: : 551iter [00:51,  7.69iter/s]
Best score: 0.2412: : 552iter [00:52,  7.69iter/s]
Best score: 0.2412: : 553iter [00:52,  8.64iter/s]
Best score: 0.2412: : 553iter [00:52,  8.64iter/s]
Best score: 0.2412: : 554iter [00:52,  8.64iter/s]
Best score: 0.2412: : 555iter [00:52,  9.45iter/s]
Best score: 0.2412: : 555iter [00:52,  9.45iter/s]
Best score: 0.2412: : 556iter [00:52,  9.45iter/s]
Best score: 0.2412: : 557iter [00:52, 10.12iter/s]
Best score: 0.2412: : 557iter [00:52, 10.12iter/s]
Best score: 0.2412: : 558iter [00:52, 10.12iter/s]
Best score: 0.2412: : 559iter [00:52, 10.65iter/s]
Best score: 0.2394: : 559iter [00:52, 10.65iter/s]
Best score: 0.2394: : 560iter [00:52, 10.65iter/s]
Best score: 0.2394: : 561iter [00:52, 10.84iter/s]
Best score: 0.2394: : 561iter [00:52, 10.84iter/s]
Best score: 0.2394: : 562iter [00:52, 10.84iter/s]
Best score: 0.2394: : 563iter [00:52, 11.21iter/s]
Best score: 0.2394: : 563iter [00:52, 11.21iter/s]
Best score: 0.2394: : 564iter [00:53, 11.21iter/s]
Best score: 0.2394: : 565iter [00:53, 11.46iter/s]
Best score: 0.2394: : 565iter [00:53, 11.46iter/s]
Best score: 0.2394: : 566iter [00:53, 11.46iter/s]
Best score: 0.2394: : 567iter [00:53, 11.65iter/s]
Best score: 0.2394: : 567iter [00:53, 11.65iter/s]
Best score: 0.2394: : 568iter [00:53, 11.65iter/s]
Best score: 0.2394: : 569iter [00:53, 11.79iter/s]
Best score: 0.2394: : 569iter [00:53, 11.79iter/s]
Best score: 0.2394: : 570iter [00:53, 11.79iter/s]
Best score: 0.2394: : 571iter [00:53, 11.65iter/s]
Best score: 0.2394: : 571iter [00:53, 11.65iter/s]
Best score: 0.2394: : 572iter [00:53, 11.65iter/s]
Best score: 0.2394: : 573iter [00:53, 11.70iter/s]
Best score: 0.2394: : 573iter [00:53, 11.70iter/s]
Best score: 0.2394: : 574iter [00:53, 11.70iter/s]
Best score: 0.2394: : 575iter [00:53, 11.84iter/s]
Best score: 0.2394: : 575iter [00:53, 11.84iter/s]
Best score: 0.2394: : 576iter [00:54, 11.84iter/s]
Best score: 0.2394: : 577iter [00:54, 11.93iter/s]
Best score: 0.2394: : 577iter [00:54, 11.93iter/s]
Best score: 0.2394: : 578iter [00:54, 11.93iter/s]
Best score: 0.2394: : 579iter [00:54, 11.99iter/s]
Best score: 0.2302: : 579iter [00:54, 11.99iter/s]
Best score: 0.2302: : 580iter [00:54, 11.99iter/s]
Best score: 0.2302: : 581iter [00:54, 11.77iter/s]
Best score: 0.2302: : 581iter [00:54, 11.77iter/s]
Best score: 0.2302: : 582iter [00:54, 11.77iter/s]
Best score: 0.2302: : 583iter [00:54, 11.88iter/s]
Best score: 0.2302: : 583iter [00:54, 11.88iter/s]
Best score: 0.2302: : 584iter [00:54, 11.88iter/s]
Best score: 0.2302: : 585iter [00:54, 11.96iter/s]
Best score: 0.2302: : 585iter [00:54, 11.96iter/s]
Best score: 0.2302: : 586iter [00:54, 11.96iter/s]
Best score: 0.2302: : 587iter [00:54, 12.00iter/s]
Best score: 0.2302: : 587iter [00:54, 12.00iter/s]
Best score: 0.2302: : 588iter [00:55, 12.00iter/s]
Best score: 0.2302: : 589iter [00:55, 12.04iter/s]
Best score: 0.2302: : 589iter [00:55, 12.04iter/s]
Best score: 0.2302: : 590iter [00:55, 12.04iter/s]
Best score: 0.2302: : 591iter [00:55, 11.86iter/s]
Best score: 0.2302: : 591iter [00:55, 11.86iter/s]
Best score: 0.2302: : 592iter [00:55, 11.86iter/s]
Best score: 0.2302: : 593iter [00:55, 11.95iter/s]
Best score: 0.2302: : 593iter [00:55, 11.95iter/s]
Best score: 0.2302: : 594iter [00:55, 11.95iter/s]
Best score: 0.2302: : 595iter [00:55, 11.98iter/s]
Best score: 0.2302: : 595iter [00:55, 11.98iter/s]
Best score: 0.2302: : 596iter [00:55, 11.98iter/s]
Best score: 0.2302: : 597iter [00:55, 11.94iter/s]
Best score: 0.2302: : 597iter [00:55, 11.94iter/s]
Best score: 0.2302: : 598iter [00:55, 11.94iter/s]
Best score: 0.2302: : 599iter [00:55, 11.94iter/s]
[ITER 600] Best: 0.2302
[PARAMS] Current best parameters:
  fx: 523.4247
  fy: 523.1464
  px: 1043.1700
  py: 714.8755
  k1: 0.01701062
  k2: -0.01287490
  k3: 0.00591073
  k4: -0.00149129
  p1: -0.00920486
  p2: 0.00769289
  p3: 0.01677466
  p4: -0.00426991
  s1: -0.0237
  s2: 0.0035
  s3: -0.0121
  s4: 0.0031
  tilt_x: 0.0157
  tilt_y: 0.0040
  scale: 3.0081
  rotation: 0.0528

Best score: 0.2302: : 599iter [00:55, 11.94iter/s]
Best score: 0.2302: : 600iter [00:56, 11.94iter/s]
Best score: 0.2302: : 601iter [00:56,  7.66iter/s]
Best score: 0.2302: : 601iter [00:56,  7.66iter/s]
Best score: 0.2302: : 602iter [00:56,  7.66iter/s]
Best score: 0.2302: : 603iter [00:56,  8.61iter/s]
Best score: 0.2302: : 603iter [00:56,  8.61iter/s]
Best score: 0.2302: : 604iter [00:56,  8.61iter/s]
Best score: 0.2302: : 605iter [00:56,  9.40iter/s]
Best score: 0.2302: : 605iter [00:56,  9.40iter/s]
Best score: 0.2302: : 606iter [00:56,  9.40iter/s]
Best score: 0.2302: : 607iter [00:56, 10.09iter/s]
Best score: 0.2302: : 607iter [00:56, 10.09iter/s]
Best score: 0.2302: : 608iter [00:57, 10.09iter/s]
Best score: 0.2302: : 609iter [00:57, 10.63iter/s]
Best score: 0.2302: : 609iter [00:57, 10.63iter/s]
Best score: 0.2302: : 610iter [00:57, 10.63iter/s]
Best score: 0.2302: : 611iter [00:57, 10.83iter/s]
Best score: 0.2302: : 611iter [00:57, 10.83iter/s]
Best score: 0.2302: : 612iter [00:57, 10.83iter/s]
Best score: 0.2302: : 613iter [00:57, 11.20iter/s]
Best score: 0.2302: : 613iter [00:57, 11.20iter/s]
Best score: 0.2302: : 614iter [00:57, 11.20iter/s]
Best score: 0.2302: : 615iter [00:57, 11.48iter/s]
Best score: 0.2302: : 615iter [00:57, 11.48iter/s]
Best score: 0.2302: : 616iter [00:57, 11.48iter/s]
Best score: 0.2302: : 617iter [00:57, 11.67iter/s]
Best score: 0.2302: : 617iter [00:57, 11.67iter/s]
Best score: 0.2302: : 618iter [00:57, 11.67iter/s]
Best score: 0.2302: : 619iter [00:57, 11.76iter/s]
Best score: 0.2288: : 619iter [00:57, 11.76iter/s]
Best score: 0.2288: : 620iter [00:58, 11.76iter/s]
Best score: 0.2288: : 621iter [00:58, 11.59iter/s]
Best score: 0.2288: : 621iter [00:58, 11.59iter/s]
Best score: 0.2288: : 622iter [00:58, 11.59iter/s]
Best score: 0.2288: : 623iter [00:58, 11.75iter/s]
Best score: 0.2288: : 623iter [00:58, 11.75iter/s]
Best score: 0.2288: : 624iter [00:58, 11.75iter/s]
Best score: 0.2288: : 625iter [00:58, 11.80iter/s]
Best score: 0.2288: : 625iter [00:58, 11.80iter/s]
Best score: 0.2288: : 626iter [00:58, 11.80iter/s]
Best score: 0.2288: : 627iter [00:58, 11.90iter/s]
Best score: 0.2288: : 627iter [00:58, 11.90iter/s]
Best score: 0.2288: : 628iter [00:58, 11.90iter/s]
Best score: 0.2288: : 629iter [00:58, 11.95iter/s]
Best score: 0.2284: : 629iter [00:58, 11.95iter/s]
Best score: 0.2284: : 630iter [00:58, 11.95iter/s]
Best score: 0.2284: : 631iter [00:58, 11.81iter/s]
Best score: 0.2284: : 631iter [00:58, 11.81iter/s]
Best score: 0.2284: : 632iter [00:59, 11.81iter/s]
Best score: 0.2284: : 633iter [00:59, 11.90iter/s]
Best score: 0.2284: : 633iter [00:59, 11.90iter/s]
Best score: 0.2284: : 634iter [00:59, 11.90iter/s]
Best score: 0.2284: : 635iter [00:59, 11.98iter/s]
Best score: 0.2284: : 635iter [00:59, 11.98iter/s]
Best score: 0.2284: : 636iter [00:59, 11.98iter/s]
Best score: 0.2284: : 637iter [00:59, 12.03iter/s]
Best score: 0.2284: : 637iter [00:59, 12.03iter/s]
Best score: 0.2284: : 638iter [00:59, 12.03iter/s]
Best score: 0.2284: : 639iter [00:59, 12.05iter/s]
Best score: 0.2284: : 639iter [00:59, 12.05iter/s]
Best score: 0.2284: : 640iter [00:59, 12.05iter/s]
Best score: 0.2284: : 641iter [00:59, 11.87iter/s]
Best score: 0.2284: : 641iter [00:59, 11.87iter/s]
Best score: 0.2284: : 642iter [00:59, 11.87iter/s]
Best score: 0.2284: : 643iter [00:59, 11.91iter/s]
Best score: 0.2284: : 643iter [00:59, 11.91iter/s]
Best score: 0.2284: : 644iter [01:00, 11.91iter/s]
Best score: 0.2284: : 645iter [01:00, 11.99iter/s]
Best score: 0.2284: : 645iter [01:00, 11.99iter/s]
Best score: 0.2284: : 646iter [01:00, 11.99iter/s]
Best score: 0.2284: : 647iter [01:00, 12.03iter/s]
Best score: 0.2284: : 647iter [01:00, 12.03iter/s]
Best score: 0.2284: : 648iter [01:00, 12.03iter/s]
Best score: 0.2284: : 649iter [01:00, 12.06iter/s]
[ITER 650] Best: 0.2276
[PARAMS] Current best parameters:
  fx: 524.7449
  fy: 524.5676
  px: 1043.0553
  py: 715.0494
  k1: 0.01776526
  k2: -0.01673097
  k3: 0.00858507
  k4: -0.00213402
  p1: -0.00848671
  p2: 0.00890312
  p3: 0.01503393
  p4: -0.00360609
  s1: -0.0241
  s2: 0.0031
  s3: -0.0108
  s4: 0.0020
  tilt_x: 0.0151
  tilt_y: 0.0070
  scale: 3.0058
  rotation: 0.0508

Best score: 0.2276: : 649iter [01:00, 12.06iter/s]
Best score: 0.2276: : 650iter [01:00, 12.06iter/s]
Best score: 0.2276: : 651iter [01:00,  7.68iter/s]
Best score: 0.2276: : 651iter [01:00,  7.68iter/s]
Best score: 0.2276: : 652iter [01:01,  7.68iter/s]
Best score: 0.2276: : 653iter [01:01,  8.63iter/s]
Best score: 0.2276: : 653iter [01:01,  8.63iter/s]
Best score: 0.2276: : 654iter [01:01,  8.63iter/s]
Best score: 0.2276: : 655iter [01:01,  9.46iter/s]
Best score: 0.2276: : 655iter [01:01,  9.46iter/s]
Best score: 0.2276: : 656iter [01:01,  9.46iter/s]
Best score: 0.2276: : 657iter [01:01, 10.12iter/s]
Best score: 0.2276: : 657iter [01:01, 10.12iter/s]
Best score: 0.2276: : 658iter [01:01, 10.12iter/s]
Best score: 0.2276: : 659iter [01:01, 10.66iter/s]
Best score: 0.2276: : 659iter [01:01, 10.66iter/s]
Best score: 0.2276: : 660iter [01:01, 10.66iter/s]
Best score: 0.2276: : 661iter [01:01, 10.89iter/s]
Best score: 0.2276: : 661iter [01:01, 10.89iter/s]
Best score: 0.2276: : 662iter [01:01, 10.89iter/s]
Best score: 0.2276: : 663iter [01:01, 11.25iter/s]
Best score: 0.2276: : 663iter [01:01, 11.25iter/s]
Best score: 0.2276: : 664iter [01:02, 11.25iter/s]
Best score: 0.2276: : 665iter [01:02, 11.51iter/s]
Best score: 0.2276: : 665iter [01:02, 11.51iter/s]
Best score: 0.2276: : 666iter [01:02, 11.51iter/s]
Best score: 0.2276: : 667iter [01:02, 11.70iter/s]
Best score: 0.2276: : 667iter [01:02, 11.70iter/s]
Best score: 0.2276: : 668iter [01:02, 11.70iter/s]
Best score: 0.2276: : 669iter [01:02, 11.79iter/s]
Best score: 0.2263: : 669iter [01:02, 11.79iter/s]
Best score: 0.2263: : 670iter [01:02, 11.79iter/s]
Best score: 0.2263: : 671iter [01:02, 11.68iter/s]
Best score: 0.2263: : 671iter [01:02, 11.68iter/s]
Best score: 0.2263: : 672iter [01:02, 11.68iter/s]
Best score: 0.2263: : 673iter [01:02, 11.81iter/s]
Best score: 0.2263: : 673iter [01:02, 11.81iter/s]
Best score: 0.2263: : 674iter [01:02, 11.81iter/s]
Best score: 0.2263: : 675iter [01:02, 11.92iter/s]
Best score: 0.2263: : 675iter [01:02, 11.92iter/s]
Best score: 0.2263: : 676iter [01:03, 11.92iter/s]
Best score: 0.2263: : 677iter [01:03, 11.99iter/s]
Best score: 0.2263: : 677iter [01:03, 11.99iter/s]
Best score: 0.2263: : 678iter [01:03, 11.99iter/s]
Best score: 0.2263: : 679iter [01:03, 11.98iter/s]
Best score: 0.2246: : 679iter [01:03, 11.98iter/s]
Best score: 0.2246: : 680iter [01:03, 11.98iter/s]
Best score: 0.2246: : 681iter [01:03, 11.81iter/s]
Best score: 0.2246: : 681iter [01:03, 11.81iter/s]
Best score: 0.2246: : 682iter [01:03, 11.81iter/s]
Best score: 0.2246: : 683iter [01:03, 11.91iter/s]
Best score: 0.2246: : 683iter [01:03, 11.91iter/s]
Best score: 0.2246: : 684iter [01:03, 11.91iter/s]
Best score: 0.2246: : 685iter [01:03, 11.95iter/s]
Best score: 0.2246: : 685iter [01:03, 11.95iter/s]
Best score: 0.2246: : 686iter [01:03, 11.95iter/s]
Best score: 0.2246: : 687iter [01:03, 11.99iter/s]
Best score: 0.2246: : 687iter [01:03, 11.99iter/s]
Best score: 0.2246: : 688iter [01:04, 11.99iter/s]
Best score: 0.2246: : 689iter [01:04,  9.72iter/s]
Best score: 0.2244: : 689iter [01:04,  9.72iter/s]
Best score: 0.2244: : 690iter [01:04,  9.72iter/s]
Best score: 0.2244: : 691iter [01:04, 10.18iter/s]
Best score: 0.2244: : 691iter [01:04, 10.18iter/s]
Best score: 0.2244: : 692iter [01:04, 10.18iter/s]
Best score: 0.2244: : 693iter [01:04, 10.71iter/s]
Best score: 0.2244: : 693iter [01:04, 10.71iter/s]
Best score: 0.2244: : 694iter [01:04, 10.71iter/s]
Best score: 0.2244: : 695iter [01:04, 11.06iter/s]
Best score: 0.2244: : 695iter [01:04, 11.06iter/s]
Best score: 0.2244: : 696iter [01:04, 11.06iter/s]
Best score: 0.2244: : 697iter [01:04, 11.36iter/s]
Best score: 0.2244: : 697iter [01:04, 11.36iter/s]
Best score: 0.2244: : 698iter [01:05, 11.36iter/s]
Best score: 0.2244: : 699iter [01:05, 11.58iter/s]
[ITER 700] Best: 0.2241
[PARAMS] Current best parameters:
  fx: 526.5124
  fy: 526.3892
  px: 1042.9039
  py: 714.9371
  k1: 0.01299643
  k2: -0.01280908
  k3: 0.00692101
  k4: -0.00190333
  p1: -0.00616075
  p2: 0.01095384
  p3: 0.01190173
  p4: -0.00187396
  s1: -0.0230
  s2: 0.0015
  s3: -0.0103
  s4: 0.0003
  tilt_x: 0.0100
  tilt_y: 0.0116
  scale: 3.0087
  rotation: 0.0695

Best score: 0.2241: : 699iter [01:05, 11.58iter/s]
Best score: 0.2241: : 700iter [01:05, 11.58iter/s]
Best score: 0.2241: : 701iter [01:05,  7.54iter/s]
Best score: 0.2241: : 701iter [01:05,  7.54iter/s]
Best score: 0.2241: : 702iter [01:05,  7.54iter/s]
Best score: 0.2241: : 703iter [01:05,  8.51iter/s]
Best score: 0.2241: : 703iter [01:05,  8.51iter/s]
Best score: 0.2241: : 704iter [01:05,  8.51iter/s]
Best score: 0.2241: : 705iter [01:05,  9.31iter/s]
Best score: 0.2241: : 705iter [01:05,  9.31iter/s]
Best score: 0.2241: : 706iter [01:05,  9.31iter/s]
Best score: 0.2241: : 707iter [01:05,  9.98iter/s]
Best score: 0.2241: : 707iter [01:06,  9.98iter/s]
Best score: 0.2241: : 708iter [01:06,  9.98iter/s]
Best score: 0.2241: : 709iter [01:06, 10.53iter/s]
Best score: 0.2234: : 709iter [01:06, 10.53iter/s]
Best score: 0.2234: : 710iter [01:06, 10.53iter/s]
Best score: 0.2234: : 711iter [01:06, 10.81iter/s]
Best score: 0.2234: : 711iter [01:06, 10.81iter/s]
Best score: 0.2234: : 712iter [01:06, 10.81iter/s]
Best score: 0.2234: : 713iter [01:06, 11.16iter/s]
Best score: 0.2234: : 713iter [01:06, 11.16iter/s]
Best score: 0.2234: : 714iter [01:06, 11.16iter/s]
Best score: 0.2234: : 715iter [01:06, 11.42iter/s]
Best score: 0.2234: : 715iter [01:06, 11.42iter/s]
Best score: 0.2234: : 716iter [01:06, 11.42iter/s]
Best score: 0.2234: : 717iter [01:06, 11.63iter/s]
Best score: 0.2234: : 717iter [01:06, 11.63iter/s]
Best score: 0.2234: : 718iter [01:06, 11.63iter/s]
Best score: 0.2234: : 719iter [01:06, 11.79iter/s]
Best score: 0.2234: : 719iter [01:07, 11.79iter/s]
Best score: 0.2234: : 720iter [01:07, 11.79iter/s]
Best score: 0.2234: : 721iter [01:07, 11.68iter/s]
Best score: 0.2234: : 721iter [01:07, 11.68iter/s]
Best score: 0.2234: : 722iter [01:07, 11.68iter/s]
Best score: 0.2234: : 723iter [01:07, 11.77iter/s]
Best score: 0.2234: : 723iter [01:07, 11.77iter/s]
Best score: 0.2234: : 724iter [01:07, 11.77iter/s]
Best score: 0.2234: : 725iter [01:07, 11.83iter/s]
Best score: 0.2234: : 725iter [01:07, 11.83iter/s]
Best score: 0.2234: : 726iter [01:07, 11.83iter/s]
Best score: 0.2234: : 727iter [01:07, 11.92iter/s]
Best score: 0.2234: : 727iter [01:07, 11.92iter/s]
Best score: 0.2234: : 728iter [01:07, 11.92iter/s]
Best score: 0.2234: : 729iter [01:07, 12.00iter/s]
Best score: 0.2234: : 729iter [01:07, 12.00iter/s]
Best score: 0.2234: : 730iter [01:07, 12.00iter/s]
Best score: 0.2234: : 731iter [01:07, 11.84iter/s]
Best score: 0.2234: : 731iter [01:08, 11.84iter/s]
Best score: 0.2234: : 732iter [01:08, 11.84iter/s]
Best score: 0.2234: : 733iter [01:08, 11.93iter/s]
Best score: 0.2234: : 733iter [01:08, 11.93iter/s]
Best score: 0.2234: : 734iter [01:08, 11.93iter/s]
Best score: 0.2234: : 735iter [01:08, 12.00iter/s]
Best score: 0.2234: : 735iter [01:08, 12.00iter/s]
Best score: 0.2234: : 736iter [01:08, 12.00iter/s]
Best score: 0.2234: : 737iter [01:08, 12.00iter/s]
Best score: 0.2234: : 737iter [01:08, 12.00iter/s]
Best score: 0.2234: : 738iter [01:08, 12.00iter/s]
Best score: 0.2234: : 739iter [01:08, 12.04iter/s]
Best score: 0.2232: : 739iter [01:08, 12.04iter/s]
Best score: 0.2232: : 740iter [01:08, 12.04iter/s]
Best score: 0.2232: : 741iter [01:08, 11.87iter/s]
Best score: 0.2232: : 741iter [01:08, 11.87iter/s]
Best score: 0.2232: : 742iter [01:08, 11.87iter/s]
Best score: 0.2232: : 743iter [01:08, 11.93iter/s]
Best score: 0.2232: : 743iter [01:09, 11.93iter/s]
Best score: 0.2232: : 744iter [01:09, 11.93iter/s]
Best score: 0.2232: : 745iter [01:09, 11.99iter/s]
Best score: 0.2232: : 745iter [01:09, 11.99iter/s]
Best score: 0.2232: : 746iter [01:09, 11.99iter/s]
Best score: 0.2232: : 747iter [01:09, 12.03iter/s]
Best score: 0.2232: : 747iter [01:09, 12.03iter/s]
Best score: 0.2232: : 748iter [01:09, 12.03iter/s]
Best score: 0.2232: : 749iter [01:09, 12.08iter/s]
[ITER 750] Best: 0.2227
[PARAMS] Current best parameters:
  fx: 525.3581
  fy: 525.1412
  px: 1041.9348
  py: 714.7079
  k1: 0.01092778
  k2: -0.00588745
  k3: 0.00191920
  k4: -0.00072355
  p1: -0.00714725
  p2: 0.00778806
  p3: 0.01332019
  p4: -0.00074199
  s1: -0.0224
  s2: 0.0004
  s3: -0.0110
  s4: -0.0008
  tilt_x: 0.0109
  tilt_y: 0.0099
  scale: 3.0104
  rotation: 0.0620

Best score: 0.2227: : 749iter [01:09, 12.08iter/s]
Best score: 0.2227: : 750iter [01:09, 12.08iter/s]
Best score: 0.2227: : 751iter [01:09,  7.58iter/s]
Best score: 0.2227: : 751iter [01:10,  7.58iter/s]
Best score: 0.2227: : 752iter [01:10,  7.58iter/s]
Best score: 0.2227: : 753iter [01:10,  8.52iter/s]
Best score: 0.2227: : 753iter [01:10,  8.52iter/s]
Best score: 0.2227: : 754iter [01:10,  8.52iter/s]
Best score: 0.2227: : 755iter [01:10,  9.37iter/s]
Best score: 0.2227: : 755iter [01:10,  9.37iter/s]
Best score: 0.2227: : 756iter [01:10,  9.37iter/s]
Best score: 0.2227: : 757iter [01:10, 10.07iter/s]
Best score: 0.2227: : 757iter [01:10, 10.07iter/s]
Best score: 0.2227: : 758iter [01:10, 10.07iter/s]
Best score: 0.2227: : 759iter [01:10, 10.62iter/s]
Best score: 0.2224: : 759iter [01:10, 10.62iter/s]
Best score: 0.2224: : 760iter [01:10, 10.62iter/s]
Best score: 0.2224: : 761iter [01:10, 10.88iter/s]
Best score: 0.2224: : 761iter [01:10, 10.88iter/s]
Best score: 0.2224: : 762iter [01:10, 10.88iter/s]
Best score: 0.2224: : 763iter [01:10, 11.23iter/s]
Best score: 0.2224: : 763iter [01:11, 11.23iter/s]
Best score: 0.2224: : 764iter [01:11, 11.23iter/s]
Best score: 0.2224: : 765iter [01:11, 11.49iter/s]
Best score: 0.2224: : 765iter [01:11, 11.49iter/s]
Best score: 0.2224: : 766iter [01:11, 11.49iter/s]
Best score: 0.2224: : 767iter [01:11, 11.69iter/s]
Best score: 0.2224: : 767iter [01:11, 11.69iter/s]
Best score: 0.2224: : 768iter [01:11, 11.69iter/s]
Best score: 0.2224: : 769iter [01:11, 11.78iter/s]
Best score: 0.2224: : 769iter [01:11, 11.78iter/s]
Best score: 0.2224: : 770iter [01:11, 11.78iter/s]
Best score: 0.2224: : 771iter [01:11, 11.65iter/s]
Best score: 0.2224: : 771iter [01:11, 11.65iter/s]
Best score: 0.2224: : 772iter [01:11, 11.65iter/s]
Best score: 0.2224: : 773iter [01:11, 11.80iter/s]
Best score: 0.2224: : 773iter [01:11, 11.80iter/s]
Best score: 0.2224: : 774iter [01:11, 11.80iter/s]
Best score: 0.2224: : 775iter [01:11, 11.82iter/s]
Best score: 0.2224: : 775iter [01:12, 11.82iter/s]
Best score: 0.2224: : 776iter [01:12, 11.82iter/s]
Best score: 0.2224: : 777iter [01:12, 11.92iter/s]
Best score: 0.2224: : 777iter [01:12, 11.92iter/s]
Best score: 0.2224: : 778iter [01:12, 11.92iter/s]
Best score: 0.2224: : 779iter [01:12, 11.95iter/s]
Best score: 0.2223: : 779iter [01:12, 11.95iter/s]
Best score: 0.2223: : 780iter [01:12, 11.95iter/s]
Best score: 0.2223: : 781iter [01:12, 11.77iter/s]
Best score: 0.2223: : 781iter [01:12, 11.77iter/s]
Best score: 0.2223: : 782iter [01:12, 11.77iter/s]
Best score: 0.2223: : 783iter [01:12, 11.87iter/s]
Best score: 0.2223: : 783iter [01:12, 11.87iter/s]
Best score: 0.2223: : 784iter [01:12, 11.87iter/s]
Best score: 0.2223: : 785iter [01:12, 11.95iter/s]
Best score: 0.2223: : 785iter [01:12, 11.95iter/s]
Best score: 0.2223: : 786iter [01:12, 11.95iter/s]
Best score: 0.2223: : 787iter [01:12, 12.01iter/s]
Best score: 0.2223: : 787iter [01:13, 12.01iter/s]
Best score: 0.2223: : 788iter [01:13, 12.01iter/s]
Best score: 0.2223: : 789iter [01:13, 11.98iter/s]
Best score: 0.2222: : 789iter [01:13, 11.98iter/s]
Best score: 0.2222: : 790iter [01:13, 11.98iter/s]
Best score: 0.2222: : 791iter [01:13, 11.81iter/s]
Best score: 0.2222: : 791iter [01:13, 11.81iter/s]
Best score: 0.2222: : 792iter [01:13, 11.81iter/s]
Best score: 0.2222: : 793iter [01:13, 11.91iter/s]
Best score: 0.2222: : 793iter [01:13, 11.91iter/s]
Best score: 0.2222: : 794iter [01:13, 11.91iter/s]
Best score: 0.2222: : 795iter [01:13, 11.92iter/s]
Best score: 0.2222: : 795iter [01:13, 11.92iter/s]
Best score: 0.2222: : 796iter [01:13, 11.92iter/s]
Best score: 0.2222: : 797iter [01:13, 11.94iter/s]
Best score: 0.2222: : 797iter [01:13, 11.94iter/s]
Best score: 0.2222: : 798iter [01:13, 11.94iter/s]
Best score: 0.2222: : 799iter [01:13, 11.92iter/s]
[ITER 800] Best: 0.2222
[PARAMS] Current best parameters:
  fx: 524.5965
  fy: 524.2950
  px: 1040.5284
  py: 714.7912
  k1: 0.01345808
  k2: -0.00976395
  k3: 0.00477949
  k4: -0.00142408
  p1: -0.00964510
  p2: 0.00385182
  p3: 0.01662223
  p4: -0.00082514
  s1: -0.0232
  s2: 0.0006
  s3: -0.0115
  s4: -0.0009
  tilt_x: 0.0162
  tilt_y: 0.0087
  scale: 3.0109
  rotation: 0.0613

Best score: 0.2222: : 799iter [01:14, 11.92iter/s]
Best score: 0.2222: : 800iter [01:14, 11.92iter/s]
Best score: 0.2222: : 801iter [01:14,  7.67iter/s]
Best score: 0.2222: : 801iter [01:14,  7.67iter/s]
Best score: 0.2222: : 802iter [01:14,  7.67iter/s]
Best score: 0.2222: : 803iter [01:14,  8.62iter/s]
Best score: 0.2222: : 803iter [01:14,  8.62iter/s]
Best score: 0.2222: : 804iter [01:14,  8.62iter/s]
Best score: 0.2222: : 805iter [01:14,  9.44iter/s]
Best score: 0.2222: : 805iter [01:14,  9.44iter/s]
Best score: 0.2222: : 806iter [01:14,  9.44iter/s]
Best score: 0.2222: : 807iter [01:14, 10.09iter/s]
Best score: 0.2222: : 807iter [01:15, 10.09iter/s]
Best score: 0.2222: : 808iter [01:15, 10.09iter/s]
Best score: 0.2222: : 809iter [01:15, 10.55iter/s]
Best score: 0.2221: : 809iter [01:15, 10.55iter/s]
Best score: 0.2221: : 810iter [01:15, 10.55iter/s]
Best score: 0.2221: : 811iter [01:15, 10.77iter/s]
Best score: 0.2221: : 811iter [01:15, 10.77iter/s]
Best score: 0.2221: : 812iter [01:15, 10.77iter/s]
Best score: 0.2221: : 813iter [01:15, 11.15iter/s]
Best score: 0.2221: : 813iter [01:15, 11.15iter/s]
Best score: 0.2221: : 814iter [01:15, 11.15iter/s]
Best score: 0.2221: : 815iter [01:15, 11.45iter/s]
Best score: 0.2221: : 815iter [01:15, 11.45iter/s]
Best score: 0.2221: : 816iter [01:15, 11.45iter/s]
Best score: 0.2221: : 817iter [01:15, 11.67iter/s]
Best score: 0.2221: : 817iter [01:15, 11.67iter/s]
Best score: 0.2221: : 818iter [01:15, 11.67iter/s]
Best score: 0.2221: : 819iter [01:15, 11.80iter/s]
Best score: 0.2221: : 819iter [01:16, 11.80iter/s]
Best score: 0.2221: : 820iter [01:16, 11.80iter/s]
Best score: 0.2221: : 821iter [01:16, 11.65iter/s]
Best score: 0.2221: : 821iter [01:16, 11.65iter/s]
Best score: 0.2221: : 822iter [01:16, 11.65iter/s]
Best score: 0.2221: : 823iter [01:16, 11.74iter/s]
Best score: 0.2221: : 823iter [01:16, 11.74iter/s]
Best score: 0.2221: : 824iter [01:16, 11.74iter/s]
Best score: 0.2221: : 825iter [01:16, 11.86iter/s]
Best score: 0.2221: : 825iter [01:16, 11.86iter/s]
Best score: 0.2221: : 826iter [01:16, 11.86iter/s]
Best score: 0.2221: : 827iter [01:16, 11.91iter/s]
Best score: 0.2221: : 827iter [01:16, 11.91iter/s]
Best score: 0.2221: : 828iter [01:16, 11.91iter/s]
Best score: 0.2221: : 829iter [01:16, 11.97iter/s]
Best score: 0.2220: : 829iter [01:16, 11.97iter/s]
Best score: 0.2220: : 830iter [01:16, 11.97iter/s]
Best score: 0.2220: : 831iter [01:16, 11.82iter/s]
Best score: 0.2220: : 831iter [01:17, 11.82iter/s]
Best score: 0.2220: : 832iter [01:17, 11.82iter/s]
Best score: 0.2220: : 833iter [01:17, 11.92iter/s]
Best score: 0.2220: : 833iter [01:17, 11.92iter/s]
Best score: 0.2220: : 834iter [01:17, 11.92iter/s]
Best score: 0.2220: : 835iter [01:17, 11.99iter/s]
Best score: 0.2220: : 835iter [01:17, 11.99iter/s]
Best score: 0.2220: : 836iter [01:17, 11.99iter/s]
Best score: 0.2220: : 837iter [01:17, 12.04iter/s]
Best score: 0.2220: : 837iter [01:17, 12.04iter/s]
Best score: 0.2220: : 838iter [01:17, 12.04iter/s]
Best score: 0.2220: : 839iter [01:17, 12.08iter/s]
Best score: 0.2220: : 839iter [01:17, 12.08iter/s]
Best score: 0.2220: : 840iter [01:17, 12.08iter/s]
Best score: 0.2220: : 841iter [01:17, 11.90iter/s]
Best score: 0.2220: : 841iter [01:17, 11.90iter/s]
Best score: 0.2220: : 842iter [01:17, 11.90iter/s]
Best score: 0.2220: : 843iter [01:17, 11.93iter/s]
Best score: 0.2220: : 843iter [01:18, 11.93iter/s]
Best score: 0.2220: : 844iter [01:18, 11.93iter/s]
Best score: 0.2220: : 845iter [01:18, 12.00iter/s]
Best score: 0.2220: : 845iter [01:18, 12.00iter/s]
Best score: 0.2220: : 846iter [01:18, 12.00iter/s]
Best score: 0.2220: : 847iter [01:18, 12.06iter/s]
Best score: 0.2220: : 847iter [01:18, 12.06iter/s]
Best score: 0.2220: : 848iter [01:18, 12.06iter/s]
Best score: 0.2220: : 849iter [01:18, 12.06iter/s]
[ITER 850] Best: 0.2220
[PARAMS] Current best parameters:
  fx: 525.2786
  fy: 525.0209
  px: 1040.9333
  py: 714.6943
  k1: 0.01355903
  k2: -0.01085177
  k3: 0.00530772
  k4: -0.00150260
  p1: -0.00909295
  p2: 0.00480237
  p3: 0.01517536
  p4: 0.00010233
  s1: -0.0224
  s2: -0.0003
  s3: -0.0109
  s4: -0.0016
  tilt_x: 0.0146
  tilt_y: 0.0086
  scale: 3.0095
  rotation: 0.0559

Best score: 0.2220: : 849iter [01:18, 12.06iter/s]
Best score: 0.2220: : 850iter [01:18, 12.06iter/s]
Best score: 0.2220: : 851iter [01:18,  7.67iter/s]
Best score: 0.2220: : 851iter [01:19,  7.67iter/s]
Best score: 0.2220: : 852iter [01:19,  7.67iter/s]
Best score: 0.2220: : 853iter [01:19,  8.62iter/s]
Best score: 0.2220: : 853iter [01:19,  8.62iter/s]
Best score: 0.2220: : 854iter [01:19,  8.62iter/s]
Best score: 0.2220: : 855iter [01:19,  9.41iter/s]
Best score: 0.2220: : 855iter [01:19,  9.41iter/s]
Best score: 0.2220: : 856iter [01:19,  9.41iter/s]
Best score: 0.2220: : 857iter [01:19, 10.10iter/s]
Best score: 0.2220: : 857iter [01:19, 10.10iter/s]
Best score: 0.2220: : 858iter [01:19, 10.10iter/s]
Best score: 0.2220: : 859iter [01:19, 10.60iter/s]
Best score: 0.2220: : 859iter [01:19, 10.60iter/s]
Best score: 0.2220: : 860iter [01:19, 10.60iter/s]
Best score: 0.2220: : 861iter [01:19, 10.85iter/s]
Best score: 0.2220: : 861iter [01:19, 10.85iter/s]
Best score: 0.2220: : 862iter [01:19, 10.85iter/s]
Best score: 0.2220: : 863iter [01:19, 11.13iter/s]
Best score: 0.2220: : 863iter [01:20, 11.13iter/s]
Best score: 0.2220: : 864iter [01:20, 11.13iter/s]
Best score: 0.2220: : 865iter [01:20, 11.42iter/s]
Best score: 0.2220: : 865iter [01:20, 11.42iter/s]
Best score: 0.2220: : 866iter [01:20, 11.42iter/s]
Best score: 0.2220: : 867iter [01:20, 11.62iter/s]
Best score: 0.2220: : 867iter [01:20, 11.62iter/s]
Best score: 0.2220: : 868iter [01:20, 11.62iter/s]
Best score: 0.2220: : 869iter [01:20, 11.73iter/s]
Best score: 0.2219: : 869iter [01:20, 11.73iter/s]
Best score: 0.2219: : 870iter [01:20, 11.73iter/s]
Best score: 0.2219: : 871iter [01:20, 11.64iter/s]
Best score: 0.2219: : 871iter [01:20, 11.64iter/s]
Best score: 0.2219: : 872iter [01:20, 11.64iter/s]
Best score: 0.2219: : 873iter [01:20, 11.74iter/s]
Best score: 0.2219: : 873iter [01:20, 11.74iter/s]
Best score: 0.2219: : 874iter [01:20, 11.74iter/s]
Best score: 0.2219: : 875iter [01:20, 11.77iter/s]
Best score: 0.2219: : 875iter [01:21, 11.77iter/s]
Best score: 0.2219: : 876iter [01:21, 11.77iter/s]
Best score: 0.2219: : 877iter [01:21, 11.89iter/s]
Best score: 0.2219: : 877iter [01:21, 11.89iter/s]
Best score: 0.2219: : 878iter [01:21, 11.89iter/s]
Best score: 0.2219: : 879iter [01:21, 11.93iter/s]
Best score: 0.2219: : 879iter [01:21, 11.93iter/s]
Best score: 0.2219: : 880iter [01:21, 11.93iter/s]
Best score: 0.2219: : 881iter [01:21, 11.74iter/s]
Best score: 0.2219: : 881iter [01:21, 11.74iter/s]
Best score: 0.2219: : 882iter [01:21, 11.74iter/s]
Best score: 0.2219: : 883iter [01:21, 11.80iter/s]
Best score: 0.2219: : 883iter [01:21, 11.80iter/s]
Best score: 0.2219: : 884iter [01:21, 11.80iter/s]
Best score: 0.2219: : 885iter [01:21, 11.90iter/s]
Best score: 0.2219: : 885iter [01:21, 11.90iter/s]
Best score: 0.2219: : 886iter [01:21, 11.90iter/s]
Best score: 0.2219: : 887iter [01:21, 11.92iter/s]
Best score: 0.2219: : 887iter [01:22, 11.92iter/s]
Best score: 0.2219: : 888iter [01:22, 11.92iter/s]
Best score: 0.2219: : 889iter [01:22, 11.89iter/s]
Best score: 0.2219: : 889iter [01:22, 11.89iter/s]
Best score: 0.2219: : 890iter [01:22, 11.89iter/s]
Best score: 0.2219: : 891iter [01:22, 11.67iter/s]
Best score: 0.2219: : 891iter [01:22, 11.67iter/s]
Best score: 0.2219: : 892iter [01:22, 11.67iter/s]
Best score: 0.2219: : 893iter [01:22, 11.74iter/s]
Best score: 0.2219: : 893iter [01:22, 11.74iter/s]
Best score: 0.2219: : 894iter [01:22, 11.74iter/s]
Best score: 0.2219: : 895iter [01:22, 11.80iter/s]
Best score: 0.2219: : 895iter [01:22, 11.80iter/s]
Best score: 0.2219: : 896iter [01:22, 11.80iter/s]
Best score: 0.2219: : 897iter [01:22, 11.79iter/s]
Best score: 0.2219: : 897iter [01:22, 11.79iter/s]
Best score: 0.2219: : 898iter [01:23, 11.79iter/s]
Best score: 0.2219: : 899iter [01:23, 11.86iter/s]
Best score: 0.2219: : 899iter [01:23, 11.86iter/s]
[ITER 900] Best: 0.2219
[PARAMS] Current best parameters:
  fx: 525.2733
  fy: 525.0082
  px: 1040.9530
  py: 714.5175
  k1: 0.01367117
  k2: -0.01091008
  k3: 0.00529213
  k4: -0.00149421
  p1: -0.00970045
  p2: 0.00445512
  p3: 0.01572124
  p4: -0.00011666
  s1: -0.0226
  s2: -0.0000
  s3: -0.0111
  s4: -0.0014
  tilt_x: 0.0150
  tilt_y: 0.0078
  scale: 3.0093
  rotation: 0.0591

Best score: 0.2219: : 900iter [01:23, 11.86iter/s]
Best score: 0.2219: : 901iter [01:23,  7.63iter/s]
Best score: 0.2219: : 901iter [01:23,  7.63iter/s]
Best score: 0.2219: : 902iter [01:23,  7.63iter/s]
Best score: 0.2219: : 903iter [01:23,  8.54iter/s]
Best score: 0.2219: : 903iter [01:23,  8.54iter/s]
Best score: 0.2219: : 904iter [01:23,  8.54iter/s]
Best score: 0.2219: : 905iter [01:23,  9.31iter/s]
Best score: 0.2219: : 905iter [01:23,  9.31iter/s]
Best score: 0.2219: : 906iter [01:23,  9.31iter/s]
Best score: 0.2219: : 907iter [01:23,  9.98iter/s]
Best score: 0.2219: : 907iter [01:24,  9.98iter/s]
Best score: 0.2219: : 908iter [01:24,  9.98iter/s]
Best score: 0.2219: : 909iter [01:24, 10.55iter/s]
Best score: 0.2219: : 909iter [01:24, 10.55iter/s]
Best score: 0.2219: : 910iter [01:24, 10.55iter/s]
Best score: 0.2219: : 911iter [01:24, 10.80iter/s]
Best score: 0.2219: : 911iter [01:24, 10.80iter/s]
Best score: 0.2219: : 912iter [01:24, 10.80iter/s]
Best score: 0.2219: : 913iter [01:24, 11.13iter/s]
Best score: 0.2219: : 913iter [01:24, 11.13iter/s]
Best score: 0.2219: : 914iter [01:24, 11.13iter/s]
Best score: 0.2219: : 915iter [01:24, 11.42iter/s]
Best score: 0.2219: : 915iter [01:24, 11.42iter/s]
Best score: 0.2219: : 916iter [01:24, 11.42iter/s]
Best score: 0.2219: : 917iter [01:24, 11.59iter/s]
Best score: 0.2219: : 917iter [01:24, 11.59iter/s]
Best score: 0.2219: : 918iter [01:24, 11.59iter/s]
Best score: 0.2219: : 919iter [01:24, 11.66iter/s]
Best score: 0.2219: : 919iter [01:25, 11.66iter/s]
Best score: 0.2219: : 920iter [01:25, 11.66iter/s]
Best score: 0.2219: : 921iter [01:25, 11.56iter/s]
Best score: 0.2219: : 921iter [01:25, 11.56iter/s]
Best score: 0.2219: : 922iter [01:25, 11.56iter/s]
Best score: 0.2219: : 923iter [01:25, 11.67iter/s]
Best score: 0.2219: : 923iter [01:25, 11.67iter/s]
Best score: 0.2219: : 924iter [01:25, 11.67iter/s]
Best score: 0.2219: : 925iter [01:25, 11.82iter/s]
Best score: 0.2219: : 925iter [01:25, 11.82iter/s]
Best score: 0.2219: : 926iter [01:25, 11.82iter/s]
Best score: 0.2219: : 927iter [01:25, 11.92iter/s]
Best score: 0.2219: : 927iter [01:25, 11.92iter/s]
Best score: 0.2219: : 928iter [01:25, 11.92iter/s]
Best score: 0.2219: : 929iter [01:25, 11.98iter/s]
Best score: 0.2218: : 929iter [01:25, 11.98iter/s]
Best score: 0.2218: : 930iter [01:26, 11.98iter/s]
Best score: 0.2218: : 931iter [01:26, 11.82iter/s]
Best score: 0.2218: : 931iter [01:26, 11.82iter/s]
Best score: 0.2218: : 932iter [01:26, 11.82iter/s]
Best score: 0.2218: : 933iter [01:26, 11.92iter/s]
Best score: 0.2218: : 933iter [01:26, 11.92iter/s]
Best score: 0.2218: : 934iter [01:26, 11.92iter/s]
Best score: 0.2218: : 935iter [01:26, 12.00iter/s]
Best score: 0.2218: : 935iter [01:26, 12.00iter/s]
Best score: 0.2218: : 936iter [01:26, 12.00iter/s]
Best score: 0.2218: : 937iter [01:26, 11.96iter/s]
Best score: 0.2218: : 937iter [01:26, 11.96iter/s]
Best score: 0.2218: : 938iter [01:26, 11.96iter/s]
Best score: 0.2218: : 939iter [01:26, 11.94iter/s]
Best score: 0.2218: : 939iter [01:26, 11.94iter/s]
Best score: 0.2218: : 940iter [01:26, 11.94iter/s]
Best score: 0.2218: : 941iter [01:26, 11.70iter/s]
Best score: 0.2218: : 941iter [01:26, 11.70iter/s]
Best score: 0.2218: : 942iter [01:27, 11.70iter/s]
Best score: 0.2218: : 943iter [01:27, 11.79iter/s]
Best score: 0.2218: : 943iter [01:27, 11.79iter/s]
Best score: 0.2218: : 944iter [01:27, 11.79iter/s]
Best score: 0.2218: : 945iter [01:27, 11.89iter/s]
Best score: 0.2218: : 945iter [01:27, 11.89iter/s]
Best score: 0.2218: : 946iter [01:27, 11.89iter/s]
Best score: 0.2218: : 947iter [01:27, 11.86iter/s]
Best score: 0.2218: : 947iter [01:27, 11.86iter/s]
Best score: 0.2218: : 948iter [01:27, 11.86iter/s]
Best score: 0.2218: : 949iter [01:27, 11.92iter/s]
[ITER 950] Best: 0.2218
[PARAMS] Current best parameters:
  fx: 525.1530
  fy: 524.8762
  px: 1040.7874
  py: 714.5987
  k1: 0.01406059
  k2: -0.01123124
  k3: 0.00540617
  k4: -0.00150289
  p1: -0.00989028
  p2: 0.00375679
  p3: 0.01585571
  p4: 0.00015559
  s1: -0.0221
  s2: -0.0004
  s3: -0.0110
  s4: -0.0015
  tilt_x: 0.0158
  tilt_y: 0.0072
  scale: 3.0092
  rotation: 0.0574

Best score: 0.2218: : 949iter [01:27, 11.92iter/s]
Best score: 0.2218: : 950iter [01:27, 11.92iter/s]
Best score: 0.2218: : 951iter [01:27,  7.67iter/s]
Best score: 0.2218: : 951iter [01:28,  7.67iter/s]
Best score: 0.2218: : 952iter [01:28,  7.67iter/s]
Best score: 0.2218: : 953iter [01:28,  8.62iter/s]
Best score: 0.2218: : 953iter [01:28,  8.62iter/s]
Best score: 0.2218: : 954iter [01:28,  8.62iter/s]
Best score: 0.2218: : 955iter [01:28,  9.43iter/s]
Best score: 0.2218: : 955iter [01:28,  9.43iter/s]
Best score: 0.2218: : 956iter [01:28,  9.43iter/s]
Best score: 0.2218: : 957iter [01:28, 10.06iter/s]
Best score: 0.2218: : 957iter [01:28, 10.06iter/s]
Best score: 0.2218: : 958iter [01:28, 10.06iter/s]
Best score: 0.2218: : 959iter [01:28, 10.56iter/s]
Best score: 0.2217: : 959iter [01:28, 10.56iter/s]
Best score: 0.2217: : 960iter [01:28, 10.56iter/s]
Best score: 0.2217: : 961iter [01:28, 10.80iter/s]
Best score: 0.2217: : 961iter [01:28, 10.80iter/s]
Best score: 0.2217: : 962iter [01:29, 10.80iter/s]
Best score: 0.2217: : 963iter [01:29, 11.16iter/s]
Best score: 0.2217: : 963iter [01:29, 11.16iter/s]
Best score: 0.2217: : 964iter [01:29, 11.16iter/s]
Best score: 0.2217: : 965iter [01:29, 11.36iter/s]
Best score: 0.2217: : 965iter [01:29, 11.36iter/s]
Best score: 0.2217: : 966iter [01:29, 11.36iter/s]
Best score: 0.2217: : 967iter [01:29, 11.54iter/s]
Best score: 0.2217: : 967iter [01:29, 11.54iter/s]
Best score: 0.2217: : 968iter [01:29, 11.54iter/s]
Best score: 0.2217: : 969iter [01:29, 11.68iter/s]
Best score: 0.2216: : 969iter [01:29, 11.68iter/s]
Best score: 0.2216: : 970iter [01:29, 11.68iter/s]
Best score: 0.2216: : 971iter [01:29, 11.57iter/s]
Best score: 0.2216: : 971iter [01:29, 11.57iter/s]
Best score: 0.2216: : 972iter [01:29, 11.57iter/s]
Best score: 0.2216: : 973iter [01:29, 11.73iter/s]
Best score: 0.2216: : 973iter [01:29, 11.73iter/s]
Best score: 0.2216: : 974iter [01:30, 11.73iter/s]
Best score: 0.2216: : 975iter [01:30, 11.84iter/s]
Best score: 0.2216: : 975iter [01:30, 11.84iter/s]
Best score: 0.2216: : 976iter [01:30, 11.84iter/s]
Best score: 0.2216: : 977iter [01:30, 11.94iter/s]
Best score: 0.2216: : 977iter [01:30, 11.94iter/s]
Best score: 0.2216: : 978iter [01:30, 11.94iter/s]
Best score: 0.2216: : 979iter [01:30, 12.00iter/s]
Best score: 0.2216: : 979iter [01:30, 12.00iter/s]
Best score: 0.2216: : 980iter [01:30, 12.00iter/s]
Best score: 0.2216: : 981iter [01:30, 11.74iter/s]
Best score: 0.2216: : 981iter [01:30, 11.74iter/s]
Best score: 0.2216: : 982iter [01:30, 11.74iter/s]
Best score: 0.2216: : 983iter [01:30, 11.76iter/s]
Best score: 0.2216: : 983iter [01:30, 11.76iter/s]
Best score: 0.2216: : 984iter [01:30, 11.76iter/s]
Best score: 0.2216: : 985iter [01:30, 11.80iter/s]
Best score: 0.2216: : 985iter [01:30, 11.80iter/s]
Best score: 0.2216: : 986iter [01:31, 11.80iter/s]
Best score: 0.2216: : 987iter [01:31, 11.80iter/s]
Best score: 0.2216: : 987iter [01:31, 11.80iter/s]
Best score: 0.2216: : 988iter [01:31, 11.80iter/s]
Best score: 0.2216: : 989iter [01:31, 11.84iter/s]
Best score: 0.2216: : 989iter [01:31, 11.84iter/s]
Best score: 0.2216: : 990iter [01:31, 11.84iter/s]
Best score: 0.2216: : 991iter [01:31, 11.67iter/s]
Best score: 0.2216: : 991iter [01:31, 11.67iter/s]
Best score: 0.2216: : 992iter [01:31, 11.67iter/s]
Best score: 0.2216: : 993iter [01:31, 11.72iter/s]
Best score: 0.2216: : 993iter [01:31, 11.72iter/s]
Best score: 0.2216: : 994iter [01:31, 11.72iter/s]
Best score: 0.2216: : 995iter [01:31, 11.77iter/s]
Best score: 0.2216: : 995iter [01:31, 11.77iter/s]
Best score: 0.2216: : 996iter [01:31, 11.77iter/s]
Best score: 0.2216: : 997iter [01:31, 11.78iter/s]
Best score: 0.2216: : 997iter [01:31, 11.78iter/s]
Best score: 0.2216: : 998iter [01:32, 11.78iter/s]
Best score: 0.2216: : 999iter [01:32, 11.78iter/s]
[ITER 1000] Best: 0.2216
[PARAMS] Current best parameters:
  fx: 523.8851
  fy: 523.5547
  px: 1040.6074
  py: 714.8441
  k1: 0.01552383
  k2: -0.01131674
  k3: 0.00540402
  k4: -0.00152370
  p1: -0.01214039
  p2: 0.00072585
  p3: 0.01739542
  p4: 0.00026314
  s1: -0.0208
  s2: -0.0004
  s3: -0.0102
  s4: -0.0016
  tilt_x: 0.0214
  tilt_y: 0.0021
  scale: 3.0095
  rotation: 0.0541

Best score: 0.2216: : 999iter [01:32, 11.78iter/s]
Best score: 0.2216: : 1000iter [01:32, 11.78iter/s]
Best score: 0.2216: : 1001iter [01:32,  7.56iter/s]
Best score: 0.2216: : 1001iter [01:32,  7.56iter/s]
Best score: 0.2216: : 1002iter [01:32,  7.56iter/s]
Best score: 0.2216: : 1003iter [01:32,  8.49iter/s]
Best score: 0.2216: : 1003iter [01:32,  8.49iter/s]
Best score: 0.2216: : 1004iter [01:32,  8.49iter/s]
Best score: 0.2216: : 1005iter [01:32,  9.34iter/s]
Best score: 0.2216: : 1005iter [01:32,  9.34iter/s]
Best score: 0.2216: : 1006iter [01:33,  9.34iter/s]
Best score: 0.2216: : 1007iter [01:33, 10.00iter/s]
Best score: 0.2216: : 1007iter [01:33, 10.00iter/s]
Best score: 0.2216: : 1008iter [01:33, 10.00iter/s]
Best score: 0.2216: : 1009iter [01:33, 10.56iter/s]
Best score: 0.2215: : 1009iter [01:33, 10.56iter/s]
Best score: 0.2215: : 1010iter [01:33, 10.56iter/s]
Best score: 0.2215: : 1011iter [01:33, 10.83iter/s]
Best score: 0.2215: : 1011iter [01:33, 10.83iter/s]
Best score: 0.2215: : 1012iter [01:33, 10.83iter/s]
Best score: 0.2215: : 1013iter [01:33, 11.13iter/s]
Best score: 0.2215: : 1013iter [01:33, 11.13iter/s]
Best score: 0.2215: : 1014iter [01:33, 11.13iter/s]
Best score: 0.2215: : 1015iter [01:33, 11.41iter/s]
Best score: 0.2215: : 1015iter [01:33, 11.41iter/s]
Best score: 0.2215: : 1016iter [01:33, 11.41iter/s]
Best score: 0.2215: : 1017iter [01:33, 11.63iter/s]
Best score: 0.2215: : 1017iter [01:33, 11.63iter/s]
Best score: 0.2215: : 1018iter [01:34, 11.63iter/s]
Best score: 0.2215: : 1019iter [01:34, 11.77iter/s]
Best score: 0.2215: : 1019iter [01:34, 11.77iter/s]
Best score: 0.2215: : 1020iter [01:34, 11.77iter/s]
Best score: 0.2215: : 1021iter [01:34, 11.59iter/s]
Best score: 0.2215: : 1021iter [01:34, 11.59iter/s]
Best score: 0.2215: : 1022iter [01:34, 11.59iter/s]
Best score: 0.2215: : 1023iter [01:34, 11.68iter/s]
Best score: 0.2215: : 1023iter [01:34, 11.68iter/s]
Best score: 0.2215: : 1024iter [01:34, 11.68iter/s]
Best score: 0.2215: : 1025iter [01:34, 11.77iter/s]
Best score: 0.2215: : 1025iter [01:34, 11.77iter/s]
Best score: 0.2215: : 1026iter [01:34, 11.77iter/s]
Best score: 0.2215: : 1027iter [01:34, 11.88iter/s]
Best score: 0.2215: : 1027iter [01:34, 11.88iter/s]
Best score: 0.2215: : 1028iter [01:34, 11.88iter/s]
Best score: 0.2215: : 1029iter [01:34, 11.95iter/s]
Best score: 0.2214: : 1029iter [01:34, 11.95iter/s]
Best score: 0.2214: : 1030iter [01:35, 11.95iter/s]
Best score: 0.2214: : 1031iter [01:35, 11.81iter/s]
Best score: 0.2214: : 1031iter [01:35, 11.81iter/s]
Best score: 0.2214: : 1032iter [01:35, 11.81iter/s]
Best score: 0.2214: : 1033iter [01:35, 11.87iter/s]
Best score: 0.2214: : 1033iter [01:35, 11.87iter/s]
Best score: 0.2214: : 1034iter [01:35, 11.87iter/s]
Best score: 0.2214: : 1035iter [01:35, 11.89iter/s]
Best score: 0.2214: : 1035iter [01:35, 11.89iter/s]
Best score: 0.2214: : 1036iter [01:35, 11.89iter/s]
Best score: 0.2214: : 1037iter [01:35, 11.98iter/s]
Best score: 0.2214: : 1037iter [01:35, 11.98iter/s]
Best score: 0.2214: : 1038iter [01:35, 11.98iter/s]
Best score: 0.2214: : 1039iter [01:35, 12.03iter/s]
Best score: 0.2214: : 1039iter [01:35, 12.03iter/s]
Best score: 0.2214: : 1040iter [01:35, 12.03iter/s]
Best score: 0.2214: : 1041iter [01:35, 11.85iter/s]
Best score: 0.2214: : 1041iter [01:35, 11.85iter/s]
Best score: 0.2214: : 1042iter [01:36, 11.85iter/s]
Best score: 0.2214: : 1043iter [01:36, 11.86iter/s]
Best score: 0.2214: : 1043iter [01:36, 11.86iter/s]
Best score: 0.2214: : 1044iter [01:36, 11.86iter/s]
Best score: 0.2214: : 1045iter [01:36, 11.85iter/s]
Best score: 0.2214: : 1045iter [01:36, 11.85iter/s]
Best score: 0.2214: : 1046iter [01:36, 11.85iter/s]
Best score: 0.2214: : 1047iter [01:36, 11.83iter/s]
Best score: 0.2214: : 1047iter [01:36, 11.83iter/s]
Best score: 0.2214: : 1048iter [01:36, 11.83iter/s]
Best score: 0.2214: : 1049iter [01:36, 11.81iter/s]
[ITER 1050] Best: 0.2214
[PARAMS] Current best parameters:
  fx: 524.0732
  fy: 523.7478
  px: 1040.7370
  py: 715.1772
  k1: 0.01496554
  k2: -0.01095704
  k3: 0.00532879
  k4: -0.00152719
  p1: -0.01266820
  p2: -0.00003601
  p3: 0.01688331
  p4: 0.00078531
  s1: -0.0195
  s2: -0.0009
  s3: -0.0087
  s4: -0.0021
  tilt_x: 0.0240
  tilt_y: -0.0001
  scale: 3.0102
  rotation: 0.0545

Best score: 0.2214: : 1049iter [01:36, 11.81iter/s]
Best score: 0.2214: : 1050iter [01:37, 11.81iter/s]
Best score: 0.2214: : 1051iter [01:37,  7.59iter/s]
Best score: 0.2214: : 1051iter [01:37,  7.59iter/s]
Best score: 0.2214: : 1052iter [01:37,  7.59iter/s]
Best score: 0.2214: : 1053iter [01:37,  8.49iter/s]
Best score: 0.2214: : 1053iter [01:37,  8.49iter/s]
Best score: 0.2214: : 1054iter [01:37,  8.49iter/s]
Best score: 0.2214: : 1055iter [01:37,  9.29iter/s]
Best score: 0.2214: : 1055iter [01:37,  9.29iter/s]
Best score: 0.2214: : 1056iter [01:37,  9.29iter/s]
Best score: 0.2214: : 1057iter [01:37,  9.99iter/s]
Best score: 0.2214: : 1057iter [01:37,  9.99iter/s]
Best score: 0.2214: : 1058iter [01:37,  9.99iter/s]
Best score: 0.2214: : 1059iter [01:37, 10.51iter/s]
Best score: 0.2214: : 1059iter [01:37, 10.51iter/s]
Best score: 0.2214: : 1060iter [01:37, 10.51iter/s]
Best score: 0.2214: : 1061iter [01:37, 10.73iter/s]
Best score: 0.2214: : 1061iter [01:37, 10.73iter/s]
Best score: 0.2214: : 1062iter [01:38, 10.73iter/s]
Best score: 0.2214: : 1063iter [01:38, 11.05iter/s]
Best score: 0.2214: : 1063iter [01:38, 11.05iter/s]
Best score: 0.2214: : 1064iter [01:38, 11.05iter/s]
Best score: 0.2214: : 1065iter [01:38, 11.31iter/s]
Best score: 0.2214: : 1065iter [01:38, 11.31iter/s]
Best score: 0.2214: : 1066iter [01:38, 11.31iter/s]
Best score: 0.2214: : 1067iter [01:38, 11.51iter/s]
Best score: 0.2214: : 1067iter [01:38, 11.51iter/s]
Best score: 0.2214: : 1068iter [01:38, 11.51iter/s]
Best score: 0.2214: : 1069iter [01:38, 11.71iter/s]
Best score: 0.2214: : 1069iter [01:38, 11.71iter/s]
Best score: 0.2214: : 1070iter [01:38, 11.71iter/s]
Best score: 0.2214: : 1071iter [01:38, 11.64iter/s]
Best score: 0.2214: : 1071iter [01:38, 11.64iter/s]
Best score: 0.2214: : 1072iter [01:38, 11.64iter/s]
Best score: 0.2214: : 1073iter [01:38, 11.79iter/s]
Best score: 0.2214: : 1073iter [01:38, 11.79iter/s]
Best score: 0.2214: : 1074iter [01:39, 11.79iter/s]
Best score: 0.2214: : 1075iter [01:39, 11.85iter/s]
Best score: 0.2214: : 1075iter [01:39, 11.85iter/s]
Best score: 0.2214: : 1076iter [01:39, 11.85iter/s]
Best score: 0.2214: : 1077iter [01:39, 11.89iter/s]
Best score: 0.2214: : 1077iter [01:39, 11.89iter/s]
Best score: 0.2214: : 1078iter [01:39, 11.89iter/s]
Best score: 0.2214: : 1079iter [01:39, 11.92iter/s]
Best score: 0.2214: : 1079iter [01:39, 11.92iter/s]
Best score: 0.2214: : 1080iter [01:39, 11.92iter/s]
Best score: 0.2214: : 1081iter [01:39, 11.75iter/s]
Best score: 0.2214: : 1081iter [01:39, 11.75iter/s]
Best score: 0.2214: : 1082iter [01:39, 11.75iter/s]
Best score: 0.2214: : 1083iter [01:39, 11.76iter/s]
Best score: 0.2214: : 1083iter [01:39, 11.76iter/s]
Best score: 0.2214: : 1084iter [01:39, 11.76iter/s]
Best score: 0.2214: : 1085iter [01:39, 11.77iter/s]
Best score: 0.2214: : 1085iter [01:39, 11.77iter/s]
Best score: 0.2214: : 1086iter [01:40, 11.77iter/s]
Best score: 0.2214: : 1087iter [01:40, 11.82iter/s]
Best score: 0.2214: : 1087iter [01:40, 11.82iter/s]
Best score: 0.2214: : 1088iter [01:40, 11.82iter/s]
Best score: 0.2214: : 1089iter [01:40, 11.92iter/s]
Best score: 0.2214: : 1089iter [01:40, 11.92iter/s]
Best score: 0.2214: : 1090iter [01:40, 11.92iter/s]
Best score: 0.2214: : 1091iter [01:40, 11.79iter/s]
Best score: 0.2214: : 1091iter [01:40, 11.79iter/s]
Best score: 0.2214: : 1092iter [01:40, 11.79iter/s]
Best score: 0.2214: : 1093iter [01:40, 11.90iter/s]
Best score: 0.2214: : 1093iter [01:40, 11.90iter/s]
Best score: 0.2214: : 1094iter [01:40, 11.90iter/s]
Best score: 0.2214: : 1095iter [01:40, 11.99iter/s]
Best score: 0.2214: : 1095iter [01:40, 11.99iter/s]
Best score: 0.2214: : 1096iter [01:40, 11.99iter/s]
Best score: 0.2214: : 1097iter [01:40, 12.03iter/s]
Best score: 0.2214: : 1097iter [01:40, 12.03iter/s]
Best score: 0.2214: : 1098iter [01:41, 12.03iter/s]
Best score: 0.2214: : 1099iter [01:41, 12.00iter/s]
[ITER 1100] Best: 0.2213
[PARAMS] Current best parameters:
  fx: 524.2398
  fy: 523.9296
  px: 1040.8322
  py: 715.3280
  k1: 0.01487450
  k2: -0.01101186
  k3: 0.00530361
  k4: -0.00150596
  p1: -0.01227137
  p2: 0.00007503
  p3: 0.01637333
  p4: 0.00094097
  s1: -0.0189
  s2: -0.0011
  s3: -0.0085
  s4: -0.0023
  tilt_x: 0.0240
  tilt_y: -0.0003
  scale: 3.0101
  rotation: 0.0544

Best score: 0.2213: : 1099iter [01:41, 12.00iter/s]
Best score: 0.2213: : 1100iter [01:41, 10.84iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.221345 -> 0.221319

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 99,050 → 91,184 within 3500mm ring
  Ring polish did not improve score: 0.221319
  Success: True
  Tangential distortion: p1=-0.012273, p2=0.000075, p3=0.016373, p4=0.000957
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.2213
[✅] Parameters copied to: /working/MDC034_W023(6)_2026-03-11/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 524.2398132703222
    fy: 523.9295711874589
    px: 1040.832212864725
    py: 715.3280156246087
    k1: 0.014888967135849739
    k2: -0.011013596542499306
    k3: 0.005292209148724541
    k4: -0.0015022825813357957
    p1: -0.01227279020608345
    p2: 7.538756643098025e-05
    p3: 0.01637332262417348
    p4: 0.0009570712313368819
    scale: 3.010079804957711
    rotation: 0.0544209381529173
    mmpp: 3.4770816965073936

[🔄] Converting 978 frames to PTD, creating debug images for 400 calibration frames...

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📁 Rigs:  75%|███████▌  | 3/4 [00:07<00:02,  2.38s/rig]

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📁 Rigs: 100%|██████████| 4/4 [00:09<00:00,  2.37s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:09<00:00,  2.44s/rig]
[✅] Saved PTDs: /working/MDC034_W023(6)_2026-03-11/calibration/debug/4_undistorted/output/ptd

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📁 Rigs:  75%|███████▌  | 3/4 [00:03<00:01,  1.01s/rig]

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📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.03rig/s]
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.02rig/s]
[✅] Saved PTDs: /working/MDC034_W023(6)_2026-03-11/calibration/debug/4_undistorted/temp_ptd
[WARN] No .tfd files found for serial extraction
[WARN] Failed to extract serial number from .tfd file. Check that .tfd files exist and contain 'LASERbidh' or 'LASERbidg' pattern. Using 'unknown' as fallback.

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📤 Writing LUT:  14%|█▍        | 426149/3080448 [00:00<00:03, 866952.26px/s]
📤 Writing LUT:  17%|█▋        | 512845/3080448 [00:00<00:02, 860290.41px/s]
📤 Writing LUT:  19%|█▉        | 600293/3080448 [00:00<00:02, 864904.17px/s]
📤 Writing LUT:  22%|██▏       | 686793/3080448 [00:00<00:02, 857231.88px/s]
📤 Writing LUT:  25%|██▌       | 772535/3080448 [00:00<00:02, 856914.31px/s]
📤 Writing LUT:  28%|██▊       | 859201/3080448 [00:01<00:02, 859903.85px/s]
📤 Writing LUT:  31%|███       | 945202/3080448 [00:01<00:02, 859167.43px/s]
📤 Writing LUT:  33%|███▎      | 1031126/3080448 [00:01<00:02, 855617.68px/s]
📤 Writing LUT:  36%|███▋      | 1116781/3080448 [00:01<00:02, 855895.75px/s]
📤 Writing LUT:  39%|███▉      | 1202376/3080448 [00:01<00:02, 852653.22px/s]
📤 Writing LUT:  42%|████▏     | 1288038/3080448 [00:01<00:02, 853842.20px/s]
📤 Writing LUT:  45%|████▍     | 1374851/3080448 [00:01<00:01, 858123.99px/s]
📤 Writing LUT:  47%|████▋     | 1462506/3080448 [00:01<00:01, 863648.61px/s]
📤 Writing LUT:  50%|█████     | 1549254/3080448 [00:01<00:01, 864794.95px/s]
📤 Writing LUT:  53%|█████▎    | 1635998/3080448 [00:01<00:01, 865586.13px/s]
📤 Writing LUT:  56%|█████▌    | 1723646/3080448 [00:02<00:01, 868852.34px/s]
📤 Writing LUT:  59%|█████▉    | 1810534/3080448 [00:02<00:01, 866887.42px/s]
📤 Writing LUT:  62%|██████▏   | 1897226/3080448 [00:02<00:01, 865025.18px/s]
📤 Writing LUT:  64%|██████▍   | 1983731/3080448 [00:02<00:01, 859291.09px/s]
📤 Writing LUT:  67%|██████▋   | 2069669/3080448 [00:02<00:01, 858058.74px/s]
📤 Writing LUT:  70%|██████▉   | 2156097/3080448 [00:02<00:01, 859911.87px/s]
📤 Writing LUT:  73%|███████▎  | 2242094/3080448 [00:02<00:00, 851735.01px/s]
📤 Writing LUT:  76%|███████▌  | 2328851/3080448 [00:02<00:00, 856439.74px/s]
📤 Writing LUT:  78%|███████▊  | 2415420/3080448 [00:02<00:00, 859194.86px/s]
📤 Writing LUT:  81%|████████▏ | 2502911/3080448 [00:02<00:00, 863885.91px/s]
📤 Writing LUT:  84%|████████▍ | 2590062/3080448 [00:03<00:00, 866162.23px/s]
📤 Writing LUT:  87%|████████▋ | 2677770/3080448 [00:03<00:00, 869427.22px/s]
📤 Writing LUT:  90%|████████▉ | 2766218/3080448 [00:03<00:00, 873933.57px/s]
📤 Writing LUT:  93%|█████████▎| 2854467/3080448 [00:03<00:00, 876494.73px/s]
📤 Writing LUT:  96%|█████████▌| 2942882/3080448 [00:03<00:00, 878786.61px/s]
📤 Writing LUT:  98%|█████████▊| 3031553/3080448 [00:03<00:00, 881160.04px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 862578.31px/s]
[✅] LUT written to: /working/MDC034_W023(6)_2026-03-11/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC034_W023(6)_2026-03-11' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC034_W023(6)_2026-03-11/calibration/MDC034_W023(6)_2026-03-11_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]

   🔥 1500:   0%|          | 0/291 [00:00<?, ?frame/s]

   🔥 1500:   3%|▎         | 8/291 [00:00<00:03, 78.17frame/s]

   🔥 1500:   6%|▌         | 17/291 [00:00<00:03, 81.20frame/s]

   🔥 1500:   9%|▉         | 26/291 [00:00<00:03, 81.74frame/s]

   🔥 1500:  12%|█▏        | 35/291 [00:00<00:03, 81.51frame/s]

   🔥 1500:  15%|█▌        | 44/291 [00:00<00:03, 80.76frame/s]

   🔥 1500:  18%|█▊        | 53/291 [00:00<00:02, 80.05frame/s]

   🔥 1500:  21%|██▏       | 62/291 [00:00<00:02, 79.59frame/s]

   🔥 1500:  24%|██▍       | 70/291 [00:00<00:02, 79.16frame/s]

   🔥 1500:  27%|██▋       | 78/291 [00:00<00:02, 78.67frame/s]

   🔥 1500:  30%|██▉       | 86/291 [00:01<00:02, 78.96frame/s]

   🔥 1500:  32%|███▏      | 94/291 [00:01<00:02, 78.65frame/s]

   🔥 1500:  35%|███▌      | 102/291 [00:01<00:02, 78.98frame/s]

   🔥 1500:  38%|███▊      | 111/291 [00:01<00:02, 79.71frame/s]

   🔥 1500:  41%|████      | 120/291 [00:01<00:02, 80.09frame/s]

   🔥 1500:  44%|████▍     | 129/291 [00:01<00:02, 80.80frame/s]

   🔥 1500:  47%|████▋     | 138/291 [00:01<00:01, 81.88frame/s]

   🔥 1500:  51%|█████     | 148/291 [00:01<00:01, 84.71frame/s]

   🔥 1500:  54%|█████▍    | 158/291 [00:01<00:01, 86.94frame/s]

   🔥 1500:  57%|█████▋    | 167/291 [00:02<00:01, 87.63frame/s]

   🔥 1500:  60%|██████    | 176/291 [00:02<00:01, 85.97frame/s]

   🔥 1500:  64%|██████▎   | 185/291 [00:02<00:01, 84.52frame/s]

   🔥 1500:  67%|██████▋   | 194/291 [00:02<00:01, 83.85frame/s]

   🔥 1500:  70%|██████▉   | 203/291 [00:02<00:01, 83.35frame/s]

   🔥 1500:  73%|███████▎  | 212/291 [00:02<00:00, 83.63frame/s]

   🔥 1500:  76%|███████▌  | 221/291 [00:02<00:00, 84.64frame/s]

   🔥 1500:  79%|███████▉  | 231/291 [00:02<00:00, 87.04frame/s]

   🔥 1500:  83%|████████▎ | 241/291 [00:02<00:00, 87.48frame/s]

   🔥 1500:  86%|████████▌ | 250/291 [00:03<00:00, 86.36frame/s]

   🔥 1500:  89%|████████▉ | 259/291 [00:03<00:00, 84.19frame/s]

   🔥 1500:  92%|█████████▏| 268/291 [00:03<00:00, 83.41frame/s]

   🔥 1500:  95%|█████████▌| 277/291 [00:03<00:00, 83.28frame/s]

   🔥 1500:  98%|█████████▊| 286/291 [00:03<00:00, 83.43frame/s]

                                                                [✅] 1500: /working/MDC034_W023(6)_2026-03-11/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC034_W023(6)_2026-03-11/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:04<00:14,  4.93s/rig]

   🔥 2000L:   0%|          | 0/218 [00:00<?, ?frame/s]

   🔥 2000L:   4%|▎         | 8/218 [00:00<00:02, 77.82frame/s]

   🔥 2000L:   8%|▊         | 17/218 [00:00<00:02, 79.39frame/s]

   🔥 2000L:  12%|█▏        | 26/218 [00:00<00:02, 80.02frame/s]

   🔥 2000L:  16%|█▌        | 35/218 [00:00<00:02, 81.19frame/s]

   🔥 2000L:  21%|██        | 45/218 [00:00<00:02, 84.82frame/s]

   🔥 2000L:  25%|██▌       | 55/218 [00:00<00:01, 87.40frame/s]

   🔥 2000L:  30%|██▉       | 65/218 [00:00<00:01, 91.12frame/s]

   🔥 2000L:  34%|███▍      | 75/218 [00:00<00:01, 93.21frame/s]

   🔥 2000L:  39%|███▉      | 85/218 [00:00<00:01, 93.77frame/s]

   🔥 2000L:  44%|████▎     | 95/218 [00:01<00:01, 93.82frame/s]

   🔥 2000L:  48%|████▊     | 105/218 [00:01<00:01, 94.31frame/s]

   🔥 2000L:  53%|█████▎    | 115/218 [00:01<00:01, 95.55frame/s]

   🔥 2000L:  58%|█████▊    | 126/218 [00:01<00:00, 97.37frame/s]

   🔥 2000L:  63%|██████▎   | 137/218 [00:01<00:00, 99.54frame/s]

   🔥 2000L:  68%|██████▊   | 148/218 [00:01<00:00, 101.04frame/s]

   🔥 2000L:  73%|███████▎  | 159/218 [00:01<00:00, 101.80frame/s]

   🔥 2000L:  78%|███████▊  | 170/218 [00:01<00:00, 99.07frame/s] 

   🔥 2000L:  83%|████████▎ | 180/218 [00:01<00:00, 95.39frame/s]

   🔥 2000L:  87%|████████▋ | 190/218 [00:02<00:00, 93.40frame/s]

   🔥 2000L:  92%|█████████▏| 200/218 [00:02<00:00, 89.74frame/s]

   🔥 2000L:  96%|█████████▋| 210/218 [00:02<00:00, 86.60frame/s]

                                                                 [✅] 2000L: /working/MDC034_W023(6)_2026-03-11/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC034_W023(6)_2026-03-11/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:08<00:08,  4.35s/rig]

   🔥 1000:   0%|          | 0/231 [00:00<?, ?frame/s]

   🔥 1000:   4%|▍         | 10/231 [00:00<00:02, 93.42frame/s]

   🔥 1000:   9%|▊         | 20/231 [00:00<00:02, 92.72frame/s]

   🔥 1000:  13%|█▎        | 30/231 [00:00<00:02, 93.36frame/s]

   🔥 1000:  17%|█▋        | 40/231 [00:00<00:02, 93.11frame/s]

   🔥 1000:  22%|██▏       | 50/231 [00:00<00:02, 89.68frame/s]

   🔥 1000:  26%|██▌       | 59/231 [00:00<00:01, 87.62frame/s]

   🔥 1000:  29%|██▉       | 68/231 [00:00<00:01, 86.83frame/s]

   🔥 1000:  33%|███▎      | 77/231 [00:00<00:01, 85.93frame/s]

   🔥 1000:  37%|███▋      | 86/231 [00:00<00:01, 85.22frame/s]

   🔥 1000:  41%|████      | 95/231 [00:01<00:01, 86.00frame/s]

   🔥 1000:  45%|████▌     | 104/231 [00:01<00:01, 85.83frame/s]

   🔥 1000:  49%|████▉     | 114/231 [00:01<00:01, 88.00frame/s]

   🔥 1000:  54%|█████▎    | 124/231 [00:01<00:01, 90.84frame/s]

   🔥 1000:  58%|█████▊    | 134/231 [00:01<00:01, 92.96frame/s]

   🔥 1000:  62%|██████▏   | 144/231 [00:01<00:00, 93.86frame/s]

   🔥 1000:  67%|██████▋   | 154/231 [00:01<00:00, 89.16frame/s]

   🔥 1000:  71%|███████   | 163/231 [00:01<00:00, 87.50frame/s]

   🔥 1000:  74%|███████▍  | 172/231 [00:01<00:00, 87.74frame/s]

   🔥 1000:  79%|███████▉  | 182/231 [00:02<00:00, 89.57frame/s]

   🔥 1000:  83%|████████▎ | 192/231 [00:02<00:00, 91.80frame/s]

   🔥 1000:  87%|████████▋ | 202/231 [00:02<00:00, 93.44frame/s]

   🔥 1000:  92%|█████████▏| 212/231 [00:02<00:00, 93.67frame/s]

   🔥 1000:  96%|█████████▌| 222/231 [00:02<00:00, 92.63frame/s]

                                                                [✅] 1000: /working/MDC034_W023(6)_2026-03-11/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC034_W023(6)_2026-03-11/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:12<00:03,  3.85s/rig]

   🔥 2000R:   0%|          | 0/238 [00:00<?, ?frame/s]

   🔥 2000R:   4%|▍         | 9/238 [00:00<00:02, 82.52frame/s]

   🔥 2000R:   8%|▊         | 18/238 [00:00<00:02, 81.47frame/s]

   🔥 2000R:  11%|█▏        | 27/238 [00:00<00:02, 80.97frame/s]

   🔥 2000R:  15%|█▌        | 36/238 [00:00<00:02, 82.35frame/s]

   🔥 2000R:  19%|█▉        | 45/238 [00:00<00:02, 84.21frame/s]

   🔥 2000R:  23%|██▎       | 54/238 [00:00<00:02, 85.66frame/s]

   🔥 2000R:  26%|██▋       | 63/238 [00:00<00:02, 86.50frame/s]

   🔥 2000R:  31%|███       | 74/238 [00:00<00:01, 91.24frame/s]

   🔥 2000R:  35%|███▌      | 84/238 [00:00<00:01, 93.11frame/s]

   🔥 2000R:  40%|███▉      | 95/238 [00:01<00:01, 95.40frame/s]

   🔥 2000R:  45%|████▍     | 106/238 [00:01<00:01, 97.94frame/s]

   🔥 2000R:  49%|████▉     | 117/238 [00:01<00:01, 98.73frame/s]

   🔥 2000R:  53%|█████▎    | 127/238 [00:01<00:01, 98.68frame/s]

   🔥 2000R:  58%|█████▊    | 137/238 [00:01<00:01, 98.06frame/s]

   🔥 2000R:  62%|██████▏   | 148/238 [00:01<00:00, 99.13frame/s]

   🔥 2000R:  67%|██████▋   | 159/238 [00:01<00:00, 101.02frame/s]

   🔥 2000R:  71%|███████▏  | 170/238 [00:01<00:00, 102.53frame/s]

   🔥 2000R:  76%|███████▌  | 181/238 [00:01<00:00, 100.45frame/s]

   🔥 2000R:  81%|████████  | 192/238 [00:02<00:00, 95.19frame/s] 

   🔥 2000R:  85%|████████▍ | 202/238 [00:02<00:00, 91.22frame/s]

   🔥 2000R:  89%|████████▉ | 212/238 [00:02<00:00, 88.10frame/s]

   🔥 2000R:  93%|█████████▎| 221/238 [00:02<00:00, 85.03frame/s]

   🔥 2000R:  97%|█████████▋| 230/238 [00:02<00:00, 83.38frame/s]

                                                                 [✅] 2000R: /working/MDC034_W023(6)_2026-03-11/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC034_W023(6)_2026-03-11/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:16<00:00,  3.99s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:16<00:00,  4.08s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC034_W023(6)_2026-03-11/calibration/debug/5_heatmap
[🏁] Finished processing MDC034_W023(6)_2026-03-11


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