🟢 Starting Calibration Pipeline

=== Processing MDC050_W019(6)_2025-06-02 ===

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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 962 stationary frames, 202 remain


→ 1000 (202 images) Phase 1:   0%|          | 0/202 [00:00<?, ?it/s]

→ 1000 (202 images) Phase 1:   0%|          | 1/202 [00:00<01:42,  1.95it/s]

→ 1000 (202 images) Phase 1:   8%|▊         | 17/202 [00:00<00:05, 32.74it/s]

→ 1000 (202 images) Phase 1:  16%|█▋        | 33/202 [00:00<00:03, 46.75it/s]

→ 1000 (202 images) Phase 1:  21%|██▏       | 43/202 [00:01<00:02, 56.62it/s]

→ 1000 (202 images) Phase 1:  25%|██▌       | 51/202 [00:01<00:02, 60.53it/s]

→ 1000 (202 images) Phase 1:  32%|███▏      | 65/202 [00:01<00:02, 52.30it/s]

→ 1000 (202 images) Phase 1:  38%|███▊      | 76/202 [00:01<00:02, 62.64it/s]

→ 1000 (202 images) Phase 1:  42%|████▏     | 84/202 [00:01<00:01, 64.25it/s]

→ 1000 (202 images) Phase 1:  48%|████▊     | 96/202 [00:01<00:01, 75.02it/s]

→ 1000 (202 images) Phase 1:  52%|█████▏    | 105/202 [00:01<00:01, 63.99it/s]

→ 1000 (202 images) Phase 1:  56%|█████▌    | 113/202 [00:02<00:01, 66.80it/s]

→ 1000 (202 images) Phase 1:  63%|██████▎   | 128/202 [00:02<00:00, 78.64it/s]

→ 1000 (202 images) Phase 1:  68%|██████▊   | 137/202 [00:02<00:00, 65.70it/s]

→ 1000 (202 images) Phase 1:  73%|███████▎  | 147/202 [00:02<00:00, 72.22it/s]

→ 1000 (202 images) Phase 1:  79%|███████▉  | 160/202 [00:02<00:00, 79.96it/s]

→ 1000 (202 images) Phase 1:  84%|████████▎ | 169/202 [00:02<00:00, 66.91it/s]

→ 1000 (202 images) Phase 1:  89%|████████▉ | 180/202 [00:02<00:00, 76.09it/s]

→ 1000 (202 images) Phase 1:  96%|█████████▌| 193/202 [00:03<00:00, 84.36it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/202 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/202 [00:00<00:29,  6.78it/s]

→ 1000 Phase 2: corners:   5%|▌         | 11/202 [00:00<00:03, 52.29it/s]

→ 1000 Phase 2: corners:  11%|█▏        | 23/202 [00:00<00:02, 77.72it/s]

→ 1000 Phase 2: corners:  17%|█▋        | 35/202 [00:00<00:01, 89.44it/s]

→ 1000 Phase 2: corners:  23%|██▎       | 46/202 [00:00<00:01, 94.66it/s]

→ 1000 Phase 2: corners:  30%|███       | 61/202 [00:00<00:01, 111.66it/s]

→ 1000 Phase 2: corners:  38%|███▊      | 77/202 [00:00<00:01, 121.82it/s]

→ 1000 Phase 2: corners:  46%|████▌     | 93/202 [00:00<00:00, 130.09it/s]

→ 1000 Phase 2: corners:  53%|█████▎    | 107/202 [00:01<00:00, 132.90it/s]

→ 1000 Phase 2: corners:  60%|█████▉    | 121/202 [00:01<00:00, 126.27it/s]

→ 1000 Phase 2: corners:  67%|██████▋   | 136/202 [00:01<00:00, 132.87it/s]

→ 1000 Phase 2: corners:  74%|███████▍  | 150/202 [00:01<00:00, 128.56it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 167/202 [00:01<00:00, 137.99it/s]

→ 1000 Phase 2: corners:  90%|████████▉ | 181/202 [00:01<00:00, 135.95it/s]

→ 1000 Phase 2: corners: 100%|█████████▉| 201/202 [00:01<00:00, 150.23it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 1 untrusted, 202 total


→ 1000 Phase 3: finalize:   0%|          | 0/202 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   3%|▎         | 6/202 [00:00<00:03, 52.41it/s]

→ 1000 Phase 3: finalize:   6%|▌         | 12/202 [00:00<00:03, 54.02it/s]

→ 1000 Phase 3: finalize:   9%|▉         | 18/202 [00:00<00:03, 54.52it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 24/202 [00:00<00:03, 54.91it/s]

→ 1000 Phase 3: finalize:  15%|█▍        | 30/202 [00:00<00:03, 55.02it/s]

→ 1000 Phase 3: finalize:  18%|█▊        | 36/202 [00:00<00:03, 55.22it/s]

→ 1000 Phase 3: finalize:  21%|██        | 42/202 [00:00<00:02, 55.32it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 48/202 [00:00<00:02, 55.36it/s]

→ 1000 Phase 3: finalize:  27%|██▋       | 54/202 [00:00<00:02, 55.27it/s]

→ 1000 Phase 3: finalize:  30%|██▉       | 60/202 [00:01<00:02, 54.29it/s]

→ 1000 Phase 3: finalize:  33%|███▎      | 66/202 [00:01<00:02, 54.03it/s]

→ 1000 Phase 3: finalize:  36%|███▌      | 72/202 [00:01<00:02, 53.60it/s]

→ 1000 Phase 3: finalize:  39%|███▊      | 78/202 [00:01<00:02, 53.80it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 84/202 [00:01<00:02, 54.00it/s]

→ 1000 Phase 3: finalize:  45%|████▍     | 90/202 [00:01<00:02, 54.34it/s]

→ 1000 Phase 3: finalize:  48%|████▊     | 96/202 [00:01<00:01, 54.02it/s]

→ 1000 Phase 3: finalize:  50%|█████     | 102/202 [00:01<00:01, 54.38it/s]

→ 1000 Phase 3: finalize:  53%|█████▎    | 108/202 [00:01<00:01, 54.70it/s]

→ 1000 Phase 3: finalize:  56%|█████▋    | 114/202 [00:02<00:01, 54.87it/s]

→ 1000 Phase 3: finalize:  59%|█████▉    | 120/202 [00:02<00:01, 54.95it/s]

→ 1000 Phase 3: finalize:  62%|██████▏   | 126/202 [00:02<00:01, 54.97it/s]

→ 1000 Phase 3: finalize:  65%|██████▌   | 132/202 [00:02<00:01, 54.77it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 138/202 [00:02<00:01, 54.90it/s]

→ 1000 Phase 3: finalize:  71%|███████▏  | 144/202 [00:02<00:01, 55.14it/s]

→ 1000 Phase 3: finalize:  74%|███████▍  | 150/202 [00:02<00:00, 55.32it/s]

→ 1000 Phase 3: finalize:  77%|███████▋  | 156/202 [00:02<00:00, 55.50it/s]

→ 1000 Phase 3: finalize:  80%|████████  | 162/202 [00:02<00:00, 55.18it/s]

→ 1000 Phase 3: finalize:  83%|████████▎ | 168/202 [00:03<00:00, 55.31it/s]

→ 1000 Phase 3: finalize:  86%|████████▌ | 174/202 [00:03<00:00, 55.56it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 180/202 [00:03<00:00, 55.81it/s]

→ 1000 Phase 3: finalize:  92%|█████████▏| 186/202 [00:03<00:00, 55.94it/s]

→ 1000 Phase 3: finalize:  95%|█████████▌| 192/202 [00:03<00:00, 55.84it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 198/202 [00:03<00:00, 55.56it/s]

                                                                           
[TIMING] 1000 — 202 frames
  Phase 1  radial detect   (parallel)  :   3.23s  (16.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.69s  (8.4 ms/frame)
  Phase 2b corner fix      (sequential):   0.04s
  Phase 3  finalize        (sequential):   3.68s  (18.2 ms/frame)
    decode + undistort                 :   2.09s  (10.4 ms/frame)
    corner apply + refinement          :   0.66s  (3.3 ms/frame)
    segment                            :   0.76s  (3.7 ms/frame)
    smooth                             :   0.11s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   8.65s


Processing Rigs:  25%|██▌       | 1/4 [00:12<00:37, 12.56s/it][INFO] Filtered 1126 stationary frames, 223 remain


→ 2000L (223 images) Phase 1:   0%|          | 0/223 [00:00<?, ?it/s]

→ 2000L (223 images) Phase 1:   0%|          | 1/223 [00:00<02:40,  1.38it/s]

→ 2000L (223 images) Phase 1:   4%|▍         | 10/223 [00:00<00:13, 15.93it/s]

→ 2000L (223 images) Phase 1:  15%|█▍        | 33/223 [00:01<00:04, 43.76it/s]

→ 2000L (223 images) Phase 1:  18%|█▊        | 40/223 [00:01<00:04, 43.06it/s]

→ 2000L (223 images) Phase 1:  29%|██▊       | 64/223 [00:01<00:02, 78.15it/s]

→ 2000L (223 images) Phase 1:  35%|███▍      | 77/223 [00:01<00:02, 58.79it/s]

→ 2000L (223 images) Phase 1:  43%|████▎     | 97/223 [00:01<00:01, 66.03it/s]

→ 2000L (223 images) Phase 1:  48%|████▊     | 106/223 [00:02<00:01, 61.77it/s]

→ 2000L (223 images) Phase 1:  58%|█████▊    | 129/223 [00:02<00:01, 71.56it/s]

→ 2000L (223 images) Phase 1:  62%|██████▏   | 138/223 [00:02<00:01, 66.69it/s]

→ 2000L (223 images) Phase 1:  71%|███████▏  | 159/223 [00:02<00:00, 89.51it/s]

→ 2000L (223 images) Phase 1:  76%|███████▌  | 170/223 [00:02<00:00, 65.36it/s]

→ 2000L (223 images) Phase 1:  85%|████████▌ | 190/223 [00:03<00:00, 85.91it/s]

→ 2000L (223 images) Phase 1:  91%|█████████ | 202/223 [00:03<00:00, 66.64it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/222 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/222 [00:00<01:33,  2.37it/s]

→ 2000L Phase 2: corners:   6%|▌         | 13/222 [00:00<00:06, 31.96it/s]

→ 2000L Phase 2: corners:  12%|█▏        | 26/222 [00:00<00:03, 56.58it/s]

→ 2000L Phase 2: corners:  18%|█▊        | 41/222 [00:00<00:02, 79.54it/s]

→ 2000L Phase 2: corners:  24%|██▍       | 54/222 [00:00<00:01, 89.24it/s]

→ 2000L Phase 2: corners:  31%|███       | 68/222 [00:00<00:01, 101.95it/s]

→ 2000L Phase 2: corners:  37%|███▋      | 83/222 [00:01<00:01, 115.11it/s]

→ 2000L Phase 2: corners:  43%|████▎     | 96/222 [00:01<00:01, 117.24it/s]

→ 2000L Phase 2: corners:  49%|████▉     | 109/222 [00:01<00:00, 120.56it/s]

→ 2000L Phase 2: corners:  57%|█████▋    | 126/222 [00:01<00:00, 133.93it/s]

→ 2000L Phase 2: corners:  63%|██████▎   | 140/222 [00:01<00:00, 131.18it/s]

→ 2000L Phase 2: corners:  71%|███████   | 158/222 [00:01<00:00, 143.03it/s]

→ 2000L Phase 2: corners:  79%|███████▉  | 175/222 [00:01<00:00, 150.59it/s]

→ 2000L Phase 2: corners:  86%|████████▌ | 191/222 [00:01<00:00, 141.41it/s]

                                                                            [PASS2] Summary: 0 frames fixed, 1 untrusted, 222 total


→ 2000L Phase 3: finalize:   0%|          | 0/222 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 7/222 [00:00<00:03, 61.72it/s]

→ 2000L Phase 3: finalize:   6%|▋         | 14/222 [00:00<00:03, 59.40it/s]

→ 2000L Phase 3: finalize:   9%|▉         | 20/222 [00:00<00:03, 58.85it/s]

→ 2000L Phase 3: finalize:  12%|█▏        | 26/222 [00:00<00:03, 58.53it/s]

→ 2000L Phase 3: finalize:  14%|█▍        | 32/222 [00:00<00:03, 58.11it/s]

→ 2000L Phase 3: finalize:  17%|█▋        | 38/222 [00:00<00:03, 58.00it/s]

→ 2000L Phase 3: finalize:  20%|█▉        | 44/222 [00:00<00:03, 57.77it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 50/222 [00:00<00:02, 57.77it/s]

→ 2000L Phase 3: finalize:  25%|██▌       | 56/222 [00:00<00:02, 57.78it/s]

→ 2000L Phase 3: finalize:  28%|██▊       | 62/222 [00:01<00:02, 57.94it/s]

→ 2000L Phase 3: finalize:  31%|███       | 68/222 [00:01<00:02, 58.01it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 74/222 [00:01<00:02, 58.08it/s]

→ 2000L Phase 3: finalize:  36%|███▌      | 80/222 [00:01<00:02, 58.14it/s]

→ 2000L Phase 3: finalize:  39%|███▊      | 86/222 [00:01<00:02, 58.08it/s]

→ 2000L Phase 3: finalize:  41%|████▏     | 92/222 [00:01<00:02, 57.86it/s]

→ 2000L Phase 3: finalize:  44%|████▍     | 98/222 [00:01<00:02, 56.08it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 104/222 [00:01<00:02, 54.83it/s]

→ 2000L Phase 3: finalize:  50%|████▉     | 110/222 [00:01<00:02, 53.95it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 116/222 [00:02<00:01, 53.91it/s]

→ 2000L Phase 3: finalize:  55%|█████▍    | 122/222 [00:02<00:01, 53.92it/s]

→ 2000L Phase 3: finalize:  58%|█████▊    | 128/222 [00:02<00:01, 54.00it/s]

→ 2000L Phase 3: finalize:  60%|██████    | 134/222 [00:02<00:01, 54.19it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 140/222 [00:02<00:01, 54.29it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 146/222 [00:02<00:01, 54.48it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 152/222 [00:02<00:01, 54.06it/s]

→ 2000L Phase 3: finalize:  71%|███████   | 158/222 [00:02<00:01, 54.08it/s]

→ 2000L Phase 3: finalize:  74%|███████▍  | 164/222 [00:02<00:01, 54.28it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 170/222 [00:03<00:00, 54.44it/s]

→ 2000L Phase 3: finalize:  79%|███████▉  | 176/222 [00:03<00:00, 54.59it/s]

→ 2000L Phase 3: finalize:  82%|████████▏ | 182/222 [00:03<00:00, 54.71it/s]

→ 2000L Phase 3: finalize:  85%|████████▍ | 188/222 [00:03<00:00, 54.81it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 194/222 [00:03<00:00, 54.92it/s]

→ 2000L Phase 3: finalize:  90%|█████████ | 200/222 [00:03<00:00, 54.83it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 206/222 [00:03<00:00, 54.76it/s]

→ 2000L Phase 3: finalize:  95%|█████████▌| 212/222 [00:03<00:00, 54.36it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 218/222 [00:03<00:00, 54.19it/s]

                                                                            
[TIMING] 2000L — 223 frames
  Phase 1  radial detect   (parallel)  :   3.56s  (16.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.95s  (8.8 ms/frame)
  Phase 2b corner fix      (sequential):   0.05s
  Phase 3  finalize        (sequential):   3.99s  (17.9 ms/frame)
    decode + undistort                 :   2.09s  (9.4 ms/frame)
    corner apply + refinement          :   0.85s  (3.8 ms/frame)
    segment                            :   0.86s  (3.9 ms/frame)
    smooth                             :   0.12s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   9.54s


Processing Rigs:  50%|█████     | 2/4 [00:26<00:26, 13.34s/it][INFO] Filtered 1304 stationary frames, 196 remain


→ 2000R (196 images) Phase 1:   0%|          | 0/196 [00:00<?, ?it/s]

→ 2000R (196 images) Phase 1:   1%|          | 1/196 [00:00<02:33,  1.27it/s]

→ 2000R (196 images) Phase 1:  16%|█▌        | 31/196 [00:00<00:03, 46.76it/s]

→ 2000R (196 images) Phase 1:  24%|██▍       | 48/196 [00:01<00:03, 45.48it/s]

→ 2000R (196 images) Phase 1:  33%|███▎      | 65/196 [00:01<00:02, 45.88it/s]

→ 2000R (196 images) Phase 1:  46%|████▌     | 90/196 [00:01<00:01, 71.82it/s]

→ 2000R (196 images) Phase 1:  53%|█████▎    | 104/196 [00:02<00:01, 57.92it/s]

→ 2000R (196 images) Phase 1:  66%|██████▌   | 129/196 [00:02<00:01, 59.61it/s]

→ 2000R (196 images) Phase 1:  81%|████████  | 158/196 [00:02<00:00, 86.98it/s]

→ 2000R (196 images) Phase 1:  89%|████████▉ | 174/196 [00:03<00:00, 69.33it/s]

→ 2000R (196 images) Phase 1:  98%|█████████▊| 193/196 [00:03<00:00, 74.90it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/196 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   1%|          | 1/196 [00:00<01:25,  2.28it/s]

→ 2000R Phase 2: corners:   6%|▌         | 11/196 [00:00<00:07, 25.88it/s]

→ 2000R Phase 2: corners:  12%|█▏        | 24/196 [00:00<00:03, 52.05it/s]

→ 2000R Phase 2: corners:  18%|█▊        | 36/196 [00:00<00:02, 69.31it/s]

→ 2000R Phase 2: corners:  27%|██▋       | 52/196 [00:00<00:01, 91.70it/s]

→ 2000R Phase 2: corners:  34%|███▍      | 67/196 [00:00<00:01, 102.68it/s]

→ 2000R Phase 2: corners:  42%|████▏     | 83/196 [00:01<00:00, 117.90it/s]

→ 2000R Phase 2: corners:  49%|████▉     | 97/196 [00:01<00:00, 120.99it/s]

→ 2000R Phase 2: corners:  57%|█████▋    | 111/196 [00:01<00:00, 122.91it/s]

→ 2000R Phase 2: corners:  64%|██████▍   | 125/196 [00:01<00:00, 125.55it/s]

→ 2000R Phase 2: corners:  71%|███████   | 139/196 [00:01<00:00, 126.27it/s]

→ 2000R Phase 2: corners:  80%|███████▉  | 156/196 [00:01<00:00, 137.54it/s]

→ 2000R Phase 2: corners:  88%|████████▊ | 172/196 [00:01<00:00, 143.34it/s]

→ 2000R Phase 2: corners: 100%|██████████| 196/196 [00:01<00:00, 170.59it/s]

                                                                            [PASS2] Frame 0000975: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 1 frames fixed, 1 untrusted, 196 total


→ 2000R Phase 3: finalize:   0%|          | 0/196 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   4%|▎         | 7/196 [00:00<00:03, 59.73it/s]

→ 2000R Phase 3: finalize:   7%|▋         | 13/196 [00:00<00:03, 58.77it/s]

→ 2000R Phase 3: finalize:  10%|█         | 20/196 [00:00<00:02, 59.46it/s]

→ 2000R Phase 3: finalize:  14%|█▍        | 27/196 [00:00<00:02, 59.96it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 34/196 [00:00<00:02, 60.06it/s]

→ 2000R Phase 3: finalize:  21%|██        | 41/196 [00:00<00:02, 60.14it/s]

→ 2000R Phase 3: finalize:  24%|██▍       | 48/196 [00:00<00:02, 60.19it/s]

→ 2000R Phase 3: finalize:  28%|██▊       | 55/196 [00:00<00:02, 60.31it/s]

→ 2000R Phase 3: finalize:  32%|███▏      | 62/196 [00:01<00:02, 60.47it/s]

→ 2000R Phase 3: finalize:  35%|███▌      | 69/196 [00:01<00:02, 60.48it/s]

→ 2000R Phase 3: finalize:  39%|███▉      | 76/196 [00:01<00:01, 60.51it/s]

→ 2000R Phase 3: finalize:  42%|████▏     | 83/196 [00:01<00:01, 60.46it/s]

→ 2000R Phase 3: finalize:  46%|████▌     | 90/196 [00:01<00:01, 59.80it/s]

→ 2000R Phase 3: finalize:  49%|████▉     | 96/196 [00:01<00:01, 58.46it/s]

→ 2000R Phase 3: finalize:  52%|█████▏    | 102/196 [00:01<00:01, 56.56it/s]

→ 2000R Phase 3: finalize:  55%|█████▌    | 108/196 [00:01<00:01, 55.18it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 114/196 [00:01<00:01, 54.03it/s]

→ 2000R Phase 3: finalize:  61%|██████    | 120/196 [00:02<00:01, 53.39it/s]

→ 2000R Phase 3: finalize:  64%|██████▍   | 126/196 [00:02<00:01, 53.19it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 132/196 [00:02<00:01, 52.86it/s]

→ 2000R Phase 3: finalize:  70%|███████   | 138/196 [00:02<00:01, 52.70it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 144/196 [00:02<00:00, 52.41it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 150/196 [00:02<00:00, 52.31it/s]

→ 2000R Phase 3: finalize:  80%|███████▉  | 156/196 [00:02<00:00, 52.30it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 162/196 [00:02<00:00, 52.24it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 168/196 [00:02<00:00, 51.98it/s]

→ 2000R Phase 3: finalize:  89%|████████▉ | 174/196 [00:03<00:00, 51.86it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 180/196 [00:03<00:00, 51.96it/s]

→ 2000R Phase 3: finalize:  95%|█████████▍| 186/196 [00:03<00:00, 52.20it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 192/196 [00:03<00:00, 52.28it/s]

                                                                            
[TIMING] 2000R — 196 frames
  Phase 1  radial detect   (parallel)  :   3.32s  (17.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.89s  (9.7 ms/frame)
  Phase 2b corner fix      (sequential):   0.09s
  Phase 3  finalize        (sequential):   3.53s  (18.0 ms/frame)
    decode + undistort                 :   1.82s  (9.3 ms/frame)
    corner apply + refinement          :   0.78s  (4.0 ms/frame)
    segment                            :   0.76s  (3.9 ms/frame)
    smooth                             :   0.11s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   8.83s


Processing Rigs:  75%|███████▌  | 3/4 [00:40<00:13, 13.51s/it][INFO] Filtered 1273 stationary frames, 288 remain


→ 1500 (288 images) Phase 1:   0%|          | 0/288 [00:00<?, ?it/s]

→ 1500 (288 images) Phase 1:   0%|          | 1/288 [00:00<03:55,  1.22it/s]

→ 1500 (288 images) Phase 1:  10%|▉         | 28/288 [00:00<00:06, 41.03it/s]

→ 1500 (288 images) Phase 1:  15%|█▌        | 44/288 [00:01<00:06, 40.62it/s]

→ 1500 (288 images) Phase 1:  23%|██▎       | 65/288 [00:01<00:04, 47.92it/s]

→ 1500 (288 images) Phase 1:  27%|██▋       | 78/288 [00:01<00:03, 58.20it/s]

→ 1500 (288 images) Phase 1:  34%|███▎      | 97/288 [00:02<00:03, 57.91it/s]

→ 1500 (288 images) Phase 1:  39%|███▊      | 111/288 [00:02<00:02, 69.13it/s]

→ 1500 (288 images) Phase 1:  45%|████▍     | 129/288 [00:02<00:02, 56.52it/s]

→ 1500 (288 images) Phase 1:  48%|████▊     | 138/288 [00:02<00:02, 60.89it/s]

→ 1500 (288 images) Phase 1:  56%|█████▌    | 161/288 [00:03<00:01, 64.06it/s]

→ 1500 (288 images) Phase 1:  60%|█████▉    | 172/288 [00:03<00:01, 69.61it/s]

→ 1500 (288 images) Phase 1:  67%|██████▋   | 193/288 [00:03<00:01, 67.16it/s]

→ 1500 (288 images) Phase 1:  71%|███████   | 205/288 [00:03<00:01, 74.53it/s]

→ 1500 (288 images) Phase 1:  78%|███████▊  | 225/288 [00:03<00:00, 68.94it/s]

→ 1500 (288 images) Phase 1:  82%|████████▏ | 236/288 [00:04<00:00, 74.77it/s]

→ 1500 (288 images) Phase 1:  89%|████████▉ | 257/288 [00:04<00:00, 70.21it/s]

→ 1500 (288 images) Phase 1:  94%|█████████▍| 271/288 [00:04<00:00, 80.52it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/288 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/288 [00:00<02:24,  1.98it/s]

→ 1500 Phase 2: corners:   7%|▋         | 19/288 [00:00<00:06, 40.71it/s]

→ 1500 Phase 2: corners:  11%|█▏        | 33/288 [00:00<00:04, 63.21it/s]

→ 1500 Phase 2: corners:  17%|█▋        | 48/288 [00:00<00:02, 83.56it/s]

→ 1500 Phase 2: corners:  23%|██▎       | 65/288 [00:00<00:02, 104.32it/s]

→ 1500 Phase 2: corners:  27%|██▋       | 79/288 [00:01<00:02, 89.70it/s] 

→ 1500 Phase 2: corners:  32%|███▏      | 92/288 [00:01<00:02, 96.37it/s]

→ 1500 Phase 2: corners:  37%|███▋      | 106/288 [00:01<00:01, 106.27it/s]

→ 1500 Phase 2: corners:  42%|████▏     | 120/288 [00:01<00:01, 114.81it/s]

→ 1500 Phase 2: corners:  48%|████▊     | 137/288 [00:01<00:01, 129.34it/s]

→ 1500 Phase 2: corners:  55%|█████▍    | 157/288 [00:01<00:00, 148.27it/s]

→ 1500 Phase 2: corners:  60%|██████    | 173/288 [00:01<00:00, 149.09it/s]

→ 1500 Phase 2: corners:  66%|██████▌   | 190/288 [00:01<00:00, 152.06it/s]

→ 1500 Phase 2: corners:  72%|███████▏  | 206/288 [00:01<00:00, 144.49it/s]

→ 1500 Phase 2: corners:  77%|███████▋  | 221/288 [00:02<00:00, 136.98it/s]

→ 1500 Phase 2: corners:  82%|████████▏ | 237/288 [00:02<00:00, 142.59it/s]

→ 1500 Phase 2: corners:  89%|████████▉ | 256/288 [00:02<00:00, 150.84it/s]

→ 1500 Phase 2: corners:  95%|█████████▌| 274/288 [00:02<00:00, 158.48it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 0 untrusted, 288 total


→ 1500 Phase 3: finalize:   0%|          | 0/288 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   2%|▏         | 6/288 [00:00<00:04, 59.97it/s]

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→ 1500 Phase 3: finalize:  16%|█▋        | 47/288 [00:00<00:03, 60.32it/s]

→ 1500 Phase 3: finalize:  19%|█▉        | 54/288 [00:00<00:03, 60.45it/s]

→ 1500 Phase 3: finalize:  21%|██        | 61/288 [00:01<00:03, 60.66it/s]

→ 1500 Phase 3: finalize:  24%|██▎       | 68/288 [00:01<00:03, 60.80it/s]

→ 1500 Phase 3: finalize:  26%|██▌       | 75/288 [00:01<00:03, 60.50it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 82/288 [00:01<00:03, 60.33it/s]

→ 1500 Phase 3: finalize:  31%|███       | 89/288 [00:01<00:03, 59.96it/s]

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→ 1500 Phase 3: finalize:  37%|███▋      | 107/288 [00:01<00:03, 55.53it/s]

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→ 1500 Phase 3: finalize:  41%|████▏     | 119/288 [00:02<00:03, 54.36it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 125/288 [00:02<00:03, 53.77it/s]

→ 1500 Phase 3: finalize:  45%|████▌     | 131/288 [00:02<00:02, 53.61it/s]

→ 1500 Phase 3: finalize:  48%|████▊     | 137/288 [00:02<00:02, 53.58it/s]

→ 1500 Phase 3: finalize:  50%|████▉     | 143/288 [00:02<00:02, 53.59it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 149/288 [00:02<00:02, 53.64it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 155/288 [00:02<00:02, 53.53it/s]

→ 1500 Phase 3: finalize:  56%|█████▌    | 161/288 [00:02<00:02, 53.58it/s]

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→ 1500 Phase 3: finalize:  60%|██████    | 173/288 [00:03<00:02, 53.56it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 179/288 [00:03<00:02, 53.39it/s]

→ 1500 Phase 3: finalize:  64%|██████▍   | 185/288 [00:03<00:01, 53.27it/s]

→ 1500 Phase 3: finalize:  66%|██████▋   | 191/288 [00:03<00:01, 53.24it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 197/288 [00:03<00:01, 53.49it/s]

→ 1500 Phase 3: finalize:  70%|███████   | 203/288 [00:03<00:01, 53.78it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 209/288 [00:03<00:01, 54.06it/s]

→ 1500 Phase 3: finalize:  75%|███████▍  | 215/288 [00:03<00:01, 54.13it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 221/288 [00:03<00:01, 54.24it/s]

→ 1500 Phase 3: finalize:  79%|███████▉  | 227/288 [00:04<00:01, 54.37it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 233/288 [00:04<00:01, 54.45it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 239/288 [00:04<00:00, 54.61it/s]

→ 1500 Phase 3: finalize:  85%|████████▌ | 245/288 [00:04<00:00, 54.75it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 251/288 [00:04<00:00, 54.86it/s]

→ 1500 Phase 3: finalize:  89%|████████▉ | 257/288 [00:04<00:00, 54.97it/s]

→ 1500 Phase 3: finalize:  91%|█████████▏| 263/288 [00:04<00:00, 54.86it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 269/288 [00:04<00:00, 54.88it/s]

→ 1500 Phase 3: finalize:  95%|█████████▌| 275/288 [00:04<00:00, 54.56it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 281/288 [00:05<00:00, 54.49it/s]

→ 1500 Phase 3: finalize: 100%|█████████▉| 287/288 [00:05<00:00, 54.56it/s]

                                                                           
[TIMING] 1500 — 288 frames
  Phase 1  radial detect   (parallel)  :   4.66s  (16.2 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.55s  (8.8 ms/frame)
  Phase 2b corner fix      (sequential):   0.06s
  Phase 3  finalize        (sequential):   5.17s  (17.9 ms/frame)
    decode + undistort                 :   2.77s  (9.6 ms/frame)
    corner apply + refinement          :   1.04s  (3.6 ms/frame)
    segment                            :   1.11s  (3.8 ms/frame)
    smooth                             :   0.15s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  12.43s


Processing Rigs: 100%|██████████| 4/4 [00:57<00:00, 15.13s/it]
Processing Rigs: 100%|██████████| 4/4 [00:57<00:00, 14.44s/it]
[💾] Saved RigFrameDataset to /working/MDC050_W019(6)_2025-06-02/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 908 frames from 4 rigs to /working/MDC050_W019(6)_2025-06-02/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC050_W019(6)_2025-06-02/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 1000: 100 frames selected from 202
[📋] 2000L: 100 frames selected from 222
[📋] 2000R: 100 frames selected from 196
[📋] 1500: 100 frames selected from 288
[💾] Saved RigFrameDataset to /working/MDC050_W019(6)_2025-06-02/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC050_W019(6)_2025-06-02/calibration/debug/1_digitized/rig_frames.json

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

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

Computing max image from bright frames:   0%|          | 0/80 [00:00<?, ?it/s]
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Computing max image from bright frames:   5%|▌         | 4/80 [00:12<03:58,  3.14s/it]
Computing max image from bright frames:   6%|▋         | 5/80 [00:15<03:54,  3.13s/it]
Computing max image from bright frames:   8%|▊         | 6/80 [00:18<03:50,  3.12s/it]
Computing max image from bright frames:   9%|▉         | 7/80 [00:21<03:46,  3.11s/it]
Computing max image from bright frames:  10%|█         | 8/80 [00:24<03:44,  3.11s/it]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:28<03:42,  3.14s/it]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:31<03:40,  3.15s/it]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:34<03:38,  3.16s/it]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:37<03:35,  3.17s/it]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:40<03:32,  3.18s/it]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:44<03:30,  3.19s/it]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:47<03:24,  3.15s/it]
Computing max image from bright frames:  20%|██        | 16/80 [00:50<03:20,  3.14s/it]
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Computing max image from bright frames:  22%|██▎       | 18/80 [00:56<03:13,  3.11s/it]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:59<03:09,  3.10s/it]
Computing max image from bright frames:  25%|██▌       | 20/80 [01:02<03:06,  3.10s/it]
Computing max image from bright frames:  26%|██▋       | 21/80 [01:05<03:03,  3.11s/it]
Computing max image from bright frames:  28%|██▊       | 22/80 [01:08<03:00,  3.11s/it]
Computing max image from bright frames:  29%|██▉       | 23/80 [01:11<02:57,  3.11s/it]
Computing max image from bright frames:  30%|███       | 24/80 [01:15<02:54,  3.11s/it]
Computing max image from bright frames:  31%|███▏      | 25/80 [01:18<02:51,  3.11s/it]
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Computing max image from bright frames:  35%|███▌      | 28/80 [01:27<02:43,  3.15s/it]
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Computing max image from bright frames:  38%|███▊      | 30/80 [01:34<02:39,  3.18s/it]
Computing max image from bright frames:  39%|███▉      | 31/80 [01:37<02:35,  3.18s/it]
Computing max image from bright frames:  40%|████      | 32/80 [01:40<02:33,  3.20s/it]
Computing max image from bright frames:  41%|████▏     | 33/80 [01:43<02:31,  3.23s/it]
Computing max image from bright frames:  42%|████▎     | 34/80 [01:46<02:26,  3.19s/it]
Computing max image from bright frames:  44%|████▍     | 35/80 [01:50<02:22,  3.16s/it]
Computing max image from bright frames:  45%|████▌     | 36/80 [01:53<02:18,  3.15s/it]
Computing max image from bright frames:  46%|████▋     | 37/80 [01:56<02:15,  3.15s/it]
Computing max image from bright frames:  48%|████▊     | 38/80 [01:59<02:11,  3.14s/it]
Computing max image from bright frames:  49%|████▉     | 39/80 [02:02<02:07,  3.11s/it]
Computing max image from bright frames:  50%|█████     | 40/80 [02:05<01:58,  2.97s/it]
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Computing max image from bright frames:  52%|█████▎    | 42/80 [02:11<01:55,  3.04s/it]
Computing max image from bright frames:  54%|█████▍    | 43/80 [02:14<01:53,  3.06s/it]
Computing max image from bright frames:  55%|█████▌    | 44/80 [02:17<01:51,  3.09s/it]
Computing max image from bright frames:  56%|█████▋    | 45/80 [02:20<01:47,  3.08s/it]
Computing max image from bright frames:  57%|█████▊    | 46/80 [02:23<01:45,  3.09s/it]
Computing max image from bright frames:  59%|█████▉    | 47/80 [02:26<01:41,  3.08s/it]
Computing max image from bright frames:  60%|██████    | 48/80 [02:29<01:39,  3.11s/it]
Computing max image from bright frames:  61%|██████▏   | 49/80 [02:33<01:37,  3.14s/it]
Computing max image from bright frames:  62%|██████▎   | 50/80 [02:36<01:35,  3.18s/it]
Computing max image from bright frames:  64%|██████▍   | 51/80 [02:39<01:32,  3.20s/it]
Computing max image from bright frames:  65%|██████▌   | 52/80 [02:42<01:29,  3.21s/it]
Computing max image from bright frames:  66%|██████▋   | 53/80 [02:46<01:26,  3.20s/it]
Computing max image from bright frames:  68%|██████▊   | 54/80 [02:49<01:23,  3.20s/it]
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Computing max image from bright frames:  70%|███████   | 56/80 [02:55<01:15,  3.17s/it]
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Computing max image from bright frames:  75%|███████▌  | 60/80 [03:07<01:02,  3.10s/it]
Computing max image from bright frames:  76%|███████▋  | 61/80 [03:11<00:58,  3.10s/it]
Computing max image from bright frames:  78%|███████▊  | 62/80 [03:14<00:55,  3.10s/it]
Computing max image from bright frames:  79%|███████▉  | 63/80 [03:17<00:52,  3.09s/it]
Computing max image from bright frames:  80%|████████  | 64/80 [03:20<00:49,  3.09s/it]
Computing max image from bright frames:  81%|████████▏ | 65/80 [03:23<00:46,  3.09s/it]
Computing max image from bright frames:  82%|████████▎ | 66/80 [03:26<00:43,  3.09s/it]
Computing max image from bright frames:  84%|████████▍ | 67/80 [03:29<00:40,  3.09s/it]
Computing max image from bright frames:  85%|████████▌ | 68/80 [03:32<00:37,  3.12s/it]
Computing max image from bright frames:  86%|████████▋ | 69/80 [03:35<00:34,  3.15s/it]
Computing max image from bright frames:  88%|████████▊ | 70/80 [03:39<00:31,  3.18s/it]
Computing max image from bright frames:  89%|████████▉ | 71/80 [03:42<00:28,  3.19s/it]
Computing max image from bright frames:  90%|█████████ | 72/80 [03:45<00:25,  3.22s/it]
Computing max image from bright frames:  91%|█████████▏| 73/80 [03:48<00:22,  3.21s/it]
Computing max image from bright frames:  92%|█████████▎| 74/80 [03:52<00:19,  3.21s/it]
Computing max image from bright frames:  94%|█████████▍| 75/80 [03:55<00:15,  3.18s/it]
Computing max image from bright frames:  95%|█████████▌| 76/80 [03:58<00:12,  3.17s/it]
Computing max image from bright frames:  96%|█████████▋| 77/80 [04:01<00:09,  3.16s/it]
Computing max image from bright frames:  98%|█████████▊| 78/80 [04:04<00:06,  3.14s/it]
Computing max image from bright frames:  99%|█████████▉| 79/80 [04:07<00:03,  3.12s/it]
Computing max image from bright frames: 100%|██████████| 80/80 [04:09<00:00,  2.63s/it]
                                                                                       
[✅] Casing detection complete: cx=996.0, cy=737.0

-------------------------------------------------------------------
                        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<00:27,  3.63it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   1%|          | 1/100 [00:00<00:27,  3.63it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   2%|▏         | 2/100 [00:00<00:27,  3.63it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:26,  3.63it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:26,  3.63it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   5%|▌         | 5/100 [00:00<00:07, 13.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:07, 13.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:06, 13.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 349.495} (0.000):   7%|▋         | 7/100 [00:00<00:06, 13.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:06, 13.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   9%|▉         | 9/100 [00:00<00:05, 16.61it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.002 | Best: {'fx': 370.707} (0.002):   9%|▉         | 9/100 [00:00<00:05, 16.61it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  10%|█         | 10/100 [00:00<00:05, 16.61it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.002 | Best: {'fx': 391.919} (0.004):  11%|█         | 11/100 [00:00<00:05, 16.61it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.003 | Best: {'fx': 391.919} (0.004):  12%|█▏        | 12/100 [00:00<00:05, 16.61it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  13%|█▎        | 13/100 [00:00<00:05, 16.61it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  14%|█▍        | 14/100 [00:00<00:03, 24.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 406.061} (0.005):  14%|█▍        | 14/100 [00:00<00:03, 24.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 24.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  16%|█▌        | 16/100 [00:00<00:03, 24.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.005 | Best: {'fx': 420.202} (0.006):  17%|█▋        | 17/100 [00:00<00:03, 24.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.005 | Best: {'fx': 420.202} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 24.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 24.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.014 | Best: {'fx': 455.556} (0.014):  19%|█▉        | 19/100 [00:00<00:03, 24.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.009 | Best: {'fx': 455.556} (0.014):  20%|██        | 20/100 [00:00<00:03, 24.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.007 | Best: {'fx': 455.556} (0.014):  21%|██        | 21/100 [00:00<00:03, 24.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.011 | Best: {'fx': 455.556} (0.014):  22%|██▏       | 22/100 [00:01<00:03, 24.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.011 | Best: {'fx': 455.556} (0.014):  23%|██▎       | 23/100 [00:01<00:02, 28.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  23%|██▎       | 23/100 [00:01<00:02, 28.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.016 | Best: {'fx': 469.697} (0.017):  24%|██▍       | 24/100 [00:01<00:02, 28.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 476.768} (0.021):  25%|██▌       | 25/100 [00:01<00:02, 28.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 483.838} (0.025):  26%|██▌       | 26/100 [00:01<00:02, 28.37it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 483.838} (0.025):  27%|██▋       | 27/100 [00:01<00:02, 29.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.033 | Best: {'fx': 490.909} (0.033):  27%|██▋       | 27/100 [00:01<00:02, 29.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.043 | Best: {'fx': 497.98} (0.043):  28%|██▊       | 28/100 [00:01<00:02, 29.41it/s] 
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.063 | Best: {'fx': 512.121} (0.063):  29%|██▉       | 29/100 [00:01<00:02, 29.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.050 | Best: {'fx': 512.121} (0.063):  30%|███       | 30/100 [00:01<00:02, 29.41it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.050 | Best: {'fx': 512.121} (0.063):  31%|███       | 31/100 [00:01<00:02, 27.10it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.086 | Best: {'fx': 519.192} (0.086):  31%|███       | 31/100 [00:01<00:02, 27.10it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.106 | Best: {'fx': 533.333} (0.106):  32%|███▏      | 32/100 [00:01<00:02, 27.10it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.109 | Best: {'fx': 526.263} (0.109):  33%|███▎      | 33/100 [00:01<00:02, 27.10it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.109 | Best: {'fx': 526.263} (0.109):  34%|███▍      | 34/100 [00:01<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.051 | Best: {'fx': 526.263} (0.109):  34%|███▍      | 34/100 [00:01<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.044 | Best: {'fx': 526.263} (0.109):  35%|███▌      | 35/100 [00:01<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.047 | Best: {'fx': 526.263} (0.109):  36%|███▌      | 36/100 [00:01<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.040 | Best: {'fx': 526.263} (0.109):  37%|███▋      | 37/100 [00:01<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.085 | Best: {'fx': 526.263} (0.109):  38%|███▊      | 38/100 [00:01<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.085 | Best: {'fx': 526.263} (0.109):  39%|███▉      | 39/100 [00:01<00:02, 23.55it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.038 | Best: {'fx': 526.263} (0.109):  39%|███▉      | 39/100 [00:01<00:02, 23.55it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.068 | Best: {'fx': 526.263} (0.109):  40%|████      | 40/100 [00:01<00:02, 23.55it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.057 | Best: {'fx': 526.263} (0.109):  41%|████      | 41/100 [00:01<00:02, 23.55it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.033 | Best: {'fx': 526.263} (0.109):  42%|████▏     | 42/100 [00:01<00:02, 23.55it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.036 | Best: {'fx': 526.263} (0.109):  43%|████▎     | 43/100 [00:01<00:02, 23.55it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.034 | Best: {'fx': 526.263} (0.109):  44%|████▍     | 44/100 [00:01<00:02, 23.55it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.034 | Best: {'fx': 526.263} (0.109):  45%|████▌     | 45/100 [00:01<00:01, 28.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.031 | Best: {'fx': 526.263} (0.109):  45%|████▌     | 45/100 [00:01<00:01, 28.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.030 | Best: {'fx': 526.263} (0.109):  46%|████▌     | 46/100 [00:01<00:01, 28.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.028 | Best: {'fx': 526.263} (0.109):  47%|████▋     | 47/100 [00:02<00:01, 28.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.027 | Best: {'fx': 526.263} (0.109):  48%|████▊     | 48/100 [00:02<00:01, 28.11it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.027 | Best: {'fx': 526.263} (0.109):  49%|████▉     | 49/100 [00:02<00:01, 27.97it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.029 | Best: {'fx': 526.263} (0.109):  49%|████▉     | 49/100 [00:02<00:01, 27.97it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.029 | Best: {'fx': 526.263} (0.109):  50%|█████     | 50/100 [00:02<00:01, 27.97it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.026 | Best: {'fx': 526.263} (0.109):  51%|█████     | 51/100 [00:02<00:01, 27.97it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 526.263} (0.109):  52%|█████▏    | 52/100 [00:02<00:01, 27.97it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 526.263} (0.109):  53%|█████▎    | 53/100 [00:02<00:01, 26.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.026 | Best: {'fx': 526.263} (0.109):  53%|█████▎    | 53/100 [00:02<00:01, 26.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 526.263} (0.109):  54%|█████▍    | 54/100 [00:02<00:01, 26.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 526.263} (0.109):  55%|█████▌    | 55/100 [00:02<00:01, 26.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 526.263} (0.109):  56%|█████▌    | 56/100 [00:02<00:01, 26.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 526.263} (0.109):  57%|█████▋    | 57/100 [00:02<00:01, 26.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 526.263} (0.109):  58%|█████▊    | 58/100 [00:02<00:01, 26.47it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 526.263} (0.109):  59%|█████▉    | 59/100 [00:02<00:01, 31.85it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 526.263} (0.109):  59%|█████▉    | 59/100 [00:02<00:01, 31.85it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 526.263} (0.109):  60%|██████    | 60/100 [00:02<00:01, 31.85it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 526.263} (0.109):  61%|██████    | 61/100 [00:02<00:01, 31.85it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 526.263} (0.109):  62%|██████▏   | 62/100 [00:02<00:01, 31.85it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 526.263} (0.109):  63%|██████▎   | 63/100 [00:02<00:01, 31.85it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 526.263} (0.109):  64%|██████▍   | 64/100 [00:02<00:01, 31.85it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 526.263} (0.109):  65%|██████▌   | 65/100 [00:02<00:01, 31.85it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 526.263} (0.109):  66%|██████▌   | 66/100 [00:02<00:00, 39.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 526.263} (0.109):  66%|██████▌   | 66/100 [00:02<00:00, 39.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 526.263} (0.109):  67%|██████▋   | 67/100 [00:02<00:00, 39.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 526.263} (0.109):  68%|██████▊   | 68/100 [00:02<00:00, 39.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  69%|██████▉   | 69/100 [00:02<00:00, 39.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 526.263} (0.109):  70%|███████   | 70/100 [00:02<00:00, 39.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 526.263} (0.109):  71%|███████   | 71/100 [00:02<00:00, 39.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 526.263} (0.109):  72%|███████▏  | 72/100 [00:02<00:00, 39.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 526.263} (0.109):  73%|███████▎  | 73/100 [00:02<00:00, 45.27it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  73%|███████▎  | 73/100 [00:02<00:00, 45.27it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  74%|███████▍  | 74/100 [00:02<00:00, 45.27it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  75%|███████▌  | 75/100 [00:02<00:00, 45.27it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  76%|███████▌  | 76/100 [00:02<00:00, 45.27it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  77%|███████▋  | 77/100 [00:02<00:00, 45.27it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  78%|███████▊  | 78/100 [00:02<00:00, 43.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  78%|███████▊  | 78/100 [00:02<00:00, 43.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  79%|███████▉  | 79/100 [00:02<00:00, 43.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  80%|████████  | 80/100 [00:02<00:00, 43.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  81%|████████  | 81/100 [00:02<00:00, 43.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  82%|████████▏ | 82/100 [00:02<00:00, 43.89it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  83%|████████▎ | 83/100 [00:02<00:00, 42.95it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  83%|████████▎ | 83/100 [00:02<00:00, 42.95it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 526.263} (0.109):  84%|████████▍ | 84/100 [00:02<00:00, 42.95it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  85%|████████▌ | 85/100 [00:02<00:00, 42.95it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  86%|████████▌ | 86/100 [00:02<00:00, 42.95it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  87%|████████▋ | 87/100 [00:03<00:00, 42.95it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  88%|████████▊ | 88/100 [00:03<00:00, 36.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  88%|████████▊ | 88/100 [00:03<00:00, 36.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  89%|████████▉ | 89/100 [00:03<00:00, 36.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  90%|█████████ | 90/100 [00:03<00:00, 36.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  91%|█████████ | 91/100 [00:03<00:00, 36.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  92%|█████████▏| 92/100 [00:03<00:00, 34.77it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  92%|█████████▏| 92/100 [00:03<00:00, 34.77it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  93%|█████████▎| 93/100 [00:03<00:00, 34.77it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  94%|█████████▍| 94/100 [00:03<00:00, 34.77it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  95%|█████████▌| 95/100 [00:03<00:00, 34.77it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  96%|█████████▌| 96/100 [00:03<00:00, 34.77it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  97%|█████████▋| 97/100 [00:03<00:00, 34.77it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  98%|█████████▊| 98/100 [00:03<00:00, 34.77it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  99%|█████████▉| 99/100 [00:03<00:00, 36.99it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 526.263} (0.109):  99%|█████████▉| 99/100 [00:03<00:00, 36.99it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.048 | Best: {'fx': 502.283} (0.048):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.048 | Best: {'fx': 502.283} (0.048):   2%|▏         | 1/50 [00:00<00:25,  1.93it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.046 | Best: {'fx': 502.283} (0.048):   2%|▏         | 1/50 [00:00<00:25,  1.93it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.049 | Best: {'fx': 503.303} (0.049):   4%|▍         | 2/50 [00:00<00:24,  1.93it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.049 | Best: {'fx': 504.324} (0.049):   6%|▌         | 3/50 [00:00<00:24,  1.93it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.051 | Best: {'fx': 505.344} (0.051):   8%|▊         | 4/50 [00:00<00:23,  1.93it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.051 | Best: {'fx': 505.344} (0.051):  10%|█         | 5/50 [00:00<00:04,  9.47it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.053 | Best: {'fx': 506.365} (0.053):  10%|█         | 5/50 [00:00<00:04,  9.47it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.058 | Best: {'fx': 509.426} (0.058):  12%|█▏        | 6/50 [00:00<00:04,  9.47it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.058 | Best: {'fx': 509.426} (0.058):  14%|█▍        | 7/50 [00:00<00:03, 11.34it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.060 | Best: {'fx': 510.446} (0.060):  14%|█▍        | 7/50 [00:00<00:03, 11.34it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.054 | Best: {'fx': 510.446} (0.060):  16%|█▌        | 8/50 [00:00<00:03, 11.34it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.056 | Best: {'fx': 510.446} (0.060):  18%|█▊        | 9/50 [00:00<00:03, 11.34it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.056 | Best: {'fx': 510.446} (0.060):  20%|██        | 10/50 [00:00<00:02, 15.52it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.064 | Best: {'fx': 512.487} (0.064):  20%|██        | 10/50 [00:00<00:02, 15.52it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.073 | Best: {'fx': 515.548} (0.073):  22%|██▏       | 11/50 [00:00<00:02, 15.52it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.067 | Best: {'fx': 515.548} (0.073):  24%|██▍       | 12/50 [00:00<00:02, 15.52it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.067 | Best: {'fx': 515.548} (0.073):  26%|██▌       | 13/50 [00:00<00:02, 18.46it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.079 | Best: {'fx': 517.589} (0.079):  26%|██▌       | 13/50 [00:01<00:02, 18.46it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.062 | Best: {'fx': 517.589} (0.079):  28%|██▊       | 14/50 [00:01<00:01, 18.46it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.069 | Best: {'fx': 517.589} (0.079):  30%|███       | 15/50 [00:01<00:01, 18.46it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.083 | Best: {'fx': 518.61} (0.083):  32%|███▏      | 16/50 [00:01<00:01, 18.46it/s] 
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.083 | Best: {'fx': 518.61} (0.083):  34%|███▍      | 17/50 [00:01<00:01, 23.20it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.076 | Best: {'fx': 518.61} (0.083):  34%|███▍      | 17/50 [00:01<00:01, 23.20it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.090 | Best: {'fx': 520.65} (0.090):  36%|███▌      | 18/50 [00:01<00:01, 23.20it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.088 | Best: {'fx': 520.65} (0.090):  38%|███▊      | 19/50 [00:01<00:01, 23.20it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.098 | Best: {'fx': 522.691} (0.098):  40%|████      | 20/50 [00:01<00:01, 23.20it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.098 | Best: {'fx': 522.691} (0.098):  42%|████▏     | 21/50 [00:01<00:01, 25.28it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.096 | Best: {'fx': 522.691} (0.098):  42%|████▏     | 21/50 [00:01<00:01, 25.28it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.101 | Best: {'fx': 523.712} (0.101):  44%|████▍     | 22/50 [00:01<00:01, 25.28it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.107 | Best: {'fx': 525.752} (0.107):  46%|████▌     | 23/50 [00:01<00:01, 25.28it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.107 | Best: {'fx': 525.752} (0.107):  48%|████▊     | 24/50 [00:01<00:01, 24.75it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.106 | Best: {'fx': 525.752} (0.107):  48%|████▊     | 24/50 [00:01<00:01, 24.75it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.105 | Best: {'fx': 525.752} (0.107):  50%|█████     | 25/50 [00:01<00:01, 24.75it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.111 | Best: {'fx': 528.814} (0.111):  52%|█████▏    | 26/50 [00:01<00:00, 24.75it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.111 | Best: {'fx': 528.814} (0.111):  54%|█████▍    | 27/50 [00:01<00:00, 24.08it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.101 | Best: {'fx': 528.814} (0.111):  54%|█████▍    | 27/50 [00:01<00:00, 24.08it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.096 | Best: {'fx': 528.814} (0.111):  56%|█████▌    | 28/50 [00:01<00:00, 24.08it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.108 | Best: {'fx': 528.814} (0.111):  58%|█████▊    | 29/50 [00:01<00:00, 24.08it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.110 | Best: {'fx': 528.814} (0.111):  60%|██████    | 30/50 [00:01<00:00, 24.08it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.113 | Best: {'fx': 527.793} (0.113):  62%|██████▏   | 31/50 [00:01<00:00, 24.08it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.103 | Best: {'fx': 527.793} (0.113):  64%|██████▍   | 32/50 [00:01<00:00, 24.08it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.111 | Best: {'fx': 527.793} (0.113):  66%|██████▌   | 33/50 [00:01<00:00, 24.08it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.111 | Best: {'fx': 527.793} (0.113):  68%|██████▊   | 34/50 [00:01<00:00, 33.43it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.092 | Best: {'fx': 527.793} (0.113):  68%|██████▊   | 34/50 [00:01<00:00, 33.43it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.090 | Best: {'fx': 527.793} (0.113):  70%|███████   | 35/50 [00:01<00:00, 33.43it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.112 | Best: {'fx': 527.793} (0.113):  72%|███████▏  | 36/50 [00:01<00:00, 33.43it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.082 | Best: {'fx': 527.793} (0.113):  74%|███████▍  | 37/50 [00:01<00:00, 33.43it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.086 | Best: {'fx': 527.793} (0.113):  76%|███████▌  | 38/50 [00:01<00:00, 33.43it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.110 | Best: {'fx': 527.793} (0.113):  78%|███████▊  | 39/50 [00:01<00:00, 33.43it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.080 | Best: {'fx': 527.793} (0.113):  80%|████████  | 40/50 [00:01<00:00, 33.43it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.080 | Best: {'fx': 527.793} (0.113):  82%|████████▏ | 41/50 [00:01<00:00, 41.23it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.070 | Best: {'fx': 527.793} (0.113):  82%|████████▏ | 41/50 [00:01<00:00, 41.23it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.077 | Best: {'fx': 527.793} (0.113):  84%|████████▍ | 42/50 [00:01<00:00, 41.23it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.074 | Best: {'fx': 527.793} (0.113):  86%|████████▌ | 43/50 [00:01<00:00, 41.23it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.072 | Best: {'fx': 527.793} (0.113):  88%|████████▊ | 44/50 [00:01<00:00, 41.23it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.065 | Best: {'fx': 527.793} (0.113):  90%|█████████ | 45/50 [00:01<00:00, 41.23it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.065 | Best: {'fx': 527.793} (0.113):  92%|█████████▏| 46/50 [00:01<00:00, 41.82it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.064 | Best: {'fx': 527.793} (0.113):  92%|█████████▏| 46/50 [00:01<00:00, 41.82it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.069 | Best: {'fx': 527.793} (0.113):  94%|█████████▍| 47/50 [00:01<00:00, 41.82it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.066 | Best: {'fx': 527.793} (0.113):  96%|█████████▌| 48/50 [00:01<00:00, 41.82it/s]
Brute | Start: {'fx': 526.263} (0.109) | Current: 0.062 | Best: {'fx': 527.793} (0.113):  98%|█████████▊| 49/50 [00:01<00:00, 41.82it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 527.7932385075243
    px: 996.0
    py: 737.0
    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: 1000(1000mm):20/20, 2000L(2000mm):20/20, 2000R(2000mm):20/20, 1500(1500mm):20/20
  Total: 80/80 frames used for optimization

Initial score: 4.8498: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 4.8498, picklable_objective(x0) = 4.8530

Best score: 4.8530: : 0iter [00:01, ?iter/s] 
Best score: 4.8530: : 1iter [00:01,  1.98s/iter]
Best score: 4.8530: : 1iter [00:02,  1.98s/iter]
Best score: 4.8530: : 2iter [00:02,  1.98s/iter]
Best score: 4.8530: : 3iter [00:02,  1.73iter/s]
Best score: 4.8530: : 3iter [00:02,  1.73iter/s]
Best score: 4.8530: : 4iter [00:02,  1.73iter/s]
Best score: 4.8530: : 5iter [00:02,  3.08iter/s]
Best score: 4.8530: : 5iter [00:02,  3.08iter/s]
Best score: 4.8530: : 6iter [00:02,  3.08iter/s]
Best score: 4.8530: : 7iter [00:02,  4.48iter/s]
Best score: 4.8530: : 7iter [00:02,  4.48iter/s]
Best score: 4.8530: : 8iter [00:02,  4.48iter/s]
Best score: 4.8530: : 9iter [00:02,  5.82iter/s]
Best score: 4.8530: : 9iter [00:02,  5.82iter/s]
Best score: 4.8530: : 10iter [00:02,  5.82iter/s]
Best score: 4.8530: : 11iter [00:02,  6.99iter/s]
Best score: 4.8530: : 11iter [00:02,  6.99iter/s]
Best score: 4.8530: : 12iter [00:03,  6.99iter/s]
Best score: 4.8530: : 13iter [00:03,  8.06iter/s]
Best score: 4.8530: : 13iter [00:03,  8.06iter/s]
Best score: 4.8530: : 14iter [00:03,  8.06iter/s]
Best score: 4.8530: : 15iter [00:03,  8.93iter/s]
Best score: 4.8530: : 15iter [00:03,  8.93iter/s]
Best score: 4.8530: : 16iter [00:03,  8.93iter/s]
Best score: 4.8530: : 17iter [00:03,  9.66iter/s]
Best score: 4.8530: : 17iter [00:03,  9.66iter/s]
Best score: 4.8530: : 18iter [00:03,  9.66iter/s]
Best score: 4.8530: : 19iter [00:03, 10.18iter/s]
Best score: 4.8530: : 19iter [00:03, 10.18iter/s]
Best score: 4.8530: : 20iter [00:03, 10.18iter/s]
Best score: 4.8530: : 21iter [00:03, 10.49iter/s]
Best score: 4.8530: : 21iter [00:03, 10.49iter/s]
Best score: 4.8530: : 22iter [00:03, 10.49iter/s]
Best score: 4.8530: : 23iter [00:03, 10.81iter/s]
Best score: 4.8530: : 23iter [00:03, 10.81iter/s]
Best score: 4.8530: : 24iter [00:04, 10.81iter/s]
Best score: 4.8530: : 25iter [00:04, 11.06iter/s]
Best score: 4.8530: : 25iter [00:04, 11.06iter/s]
Best score: 4.8530: : 26iter [00:04, 11.06iter/s]
Best score: 4.8530: : 27iter [00:04, 11.23iter/s]
Best score: 4.8530: : 27iter [00:04, 11.23iter/s]
Best score: 4.8530: : 28iter [00:04, 11.23iter/s]
Best score: 4.8530: : 29iter [00:04, 11.38iter/s]
Best score: 4.8530: : 29iter [00:04, 11.38iter/s]
Best score: 4.8530: : 30iter [00:04, 11.38iter/s]
Best score: 4.8530: : 31iter [00:04, 11.32iter/s]
Best score: 4.8530: : 31iter [00:04, 11.32iter/s]
Best score: 4.8530: : 32iter [00:04, 11.32iter/s]
Best score: 4.8530: : 33iter [00:04, 11.43iter/s]
Best score: 4.8530: : 33iter [00:04, 11.43iter/s]
Best score: 4.8530: : 34iter [00:04, 11.43iter/s]
Best score: 4.8530: : 35iter [00:04, 11.46iter/s]
Best score: 4.8530: : 35iter [00:05, 11.46iter/s]
Best score: 4.8530: : 36iter [00:05, 11.46iter/s]
Best score: 4.8530: : 37iter [00:05, 11.54iter/s]
Best score: 4.8530: : 37iter [00:05, 11.54iter/s]
Best score: 4.8530: : 38iter [00:05, 11.54iter/s]
Best score: 4.8530: : 39iter [00:05, 11.58iter/s]
Best score: 4.8530: : 39iter [00:05, 11.58iter/s]
Best score: 4.8530: : 40iter [00:05, 11.58iter/s]
Best score: 4.8530: : 41iter [00:05, 11.44iter/s]
Best score: 4.8530: : 41iter [00:05, 11.44iter/s]
Best score: 4.8530: : 42iter [00:05, 11.44iter/s]
Best score: 4.8530: : 43iter [00:05, 11.50iter/s]
Best score: 4.8530: : 43iter [00:05, 11.50iter/s]
Best score: 4.8530: : 44iter [00:05, 11.50iter/s]
Best score: 4.8530: : 45iter [00:05, 11.60iter/s]
Best score: 4.8530: : 45iter [00:05, 11.60iter/s]
Best score: 4.8530: : 46iter [00:05, 11.60iter/s]
Best score: 4.8530: : 47iter [00:05, 11.67iter/s]
Best score: 4.8530: : 47iter [00:06, 11.67iter/s]
Best score: 4.8530: : 48iter [00:06, 11.67iter/s]
Best score: 4.8530: : 49iter [00:06, 11.67iter/s]
[ITER 50] Best: 4.8530
[PARAMS] Current best parameters:
  fx: 527.7932
  fy: 527.7932
  px: 996.0000
  py: 737.0000
  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: 4.8530: : 49iter [00:06, 11.67iter/s]
Best score: 4.8530: : 50iter [00:06, 11.67iter/s]
Best score: 4.8530: : 51iter [00:06, 11.50iter/s]
Best score: 4.8530: : 51iter [00:06, 11.50iter/s]
Best score: 4.8530: : 52iter [00:06, 11.50iter/s]
Best score: 4.8530: : 53iter [00:06, 11.52iter/s]
Best score: 4.8530: : 53iter [00:06, 11.52iter/s]
Best score: 4.8530: : 54iter [00:06, 11.52iter/s]
Best score: 4.8530: : 55iter [00:06, 11.61iter/s]
Best score: 4.8530: : 55iter [00:06, 11.61iter/s]
Best score: 4.8530: : 56iter [00:06, 11.61iter/s]
Best score: 4.8530: : 57iter [00:06, 11.66iter/s]
Best score: 4.8530: : 57iter [00:06, 11.66iter/s]
Best score: 4.8530: : 58iter [00:06, 11.66iter/s]
Best score: 4.8530: : 59iter [00:06, 11.71iter/s]
Best score: 4.8530: : 59iter [00:07, 11.71iter/s]
Best score: 4.8530: : 60iter [00:07, 11.71iter/s]
Best score: 4.8530: : 61iter [00:07, 10.61iter/s]
Best score: 4.8530: : 61iter [00:07, 10.61iter/s]
Best score: 4.8530: : 62iter [00:07, 10.61iter/s]
Best score: 4.8530: : 63iter [00:07, 10.88iter/s]
Best score: 4.8530: : 63iter [00:07, 10.88iter/s]
Best score: 4.8530: : 64iter [00:07, 10.88iter/s]
Best score: 4.8530: : 65iter [00:07, 11.17iter/s]
Best score: 4.8530: : 65iter [00:07, 11.17iter/s]
Best score: 4.8530: : 66iter [00:07, 11.17iter/s]
Best score: 4.8530: : 67iter [00:07, 11.37iter/s]
Best score: 4.8530: : 67iter [00:07, 11.37iter/s]
Best score: 4.8530: : 68iter [00:07, 11.37iter/s]
Best score: 4.8530: : 69iter [00:07, 11.57iter/s]
Best score: 4.8530: : 69iter [00:07, 11.57iter/s]
Best score: 4.8530: : 70iter [00:08, 11.57iter/s]
Best score: 4.8530: : 71iter [00:08, 11.54iter/s]
Best score: 4.8530: : 71iter [00:08, 11.54iter/s]
Best score: 4.8530: : 72iter [00:08, 11.54iter/s]
Best score: 4.8530: : 73iter [00:08, 11.64iter/s]
Best score: 4.8530: : 73iter [00:08, 11.64iter/s]
Best score: 4.8530: : 74iter [00:08, 11.64iter/s]
Best score: 4.8530: : 75iter [00:08, 11.74iter/s]
Best score: 4.8530: : 75iter [00:08, 11.74iter/s]
Best score: 4.8530: : 76iter [00:08, 11.74iter/s]
Best score: 4.8530: : 77iter [00:08, 11.76iter/s]
Best score: 4.8530: : 77iter [00:08, 11.76iter/s]
Best score: 4.8530: : 78iter [00:08, 11.76iter/s]
Best score: 4.8530: : 79iter [00:08, 11.77iter/s]
Best score: 4.1050: : 79iter [00:08, 11.77iter/s]
Best score: 4.1050: : 80iter [00:08, 11.77iter/s]
Best score: 4.1050: : 81iter [00:08, 11.55iter/s]
Best score: 4.1050: : 81iter [00:09, 11.55iter/s]
Best score: 4.1050: : 82iter [00:09, 11.55iter/s]
Best score: 4.1050: : 83iter [00:09, 11.65iter/s]
Best score: 4.1050: : 83iter [00:09, 11.65iter/s]
Best score: 4.1050: : 84iter [00:09, 11.65iter/s]
Best score: 4.1050: : 85iter [00:09, 11.73iter/s]
Best score: 4.1050: : 85iter [00:09, 11.73iter/s]
Best score: 4.1050: : 86iter [00:09, 11.73iter/s]
Best score: 4.1050: : 87iter [00:09, 11.80iter/s]
Best score: 4.1050: : 87iter [00:09, 11.80iter/s]
Best score: 4.1050: : 88iter [00:09, 11.80iter/s]
Best score: 4.1050: : 89iter [00:09, 11.85iter/s]
Best score: 4.1050: : 89iter [00:09, 11.85iter/s]
Best score: 4.1050: : 90iter [00:09, 11.85iter/s]
Best score: 4.1050: : 91iter [00:09, 11.69iter/s]
Best score: 4.1050: : 91iter [00:09, 11.69iter/s]
Best score: 4.1050: : 92iter [00:09, 11.69iter/s]
Best score: 4.1050: : 93iter [00:09, 11.73iter/s]
Best score: 4.1050: : 93iter [00:10, 11.73iter/s]
Best score: 4.1050: : 94iter [00:10, 11.73iter/s]
Best score: 4.1050: : 95iter [00:10, 11.72iter/s]
Best score: 4.1050: : 95iter [00:10, 11.72iter/s]
Best score: 4.1050: : 96iter [00:10, 11.72iter/s]
Best score: 4.1050: : 97iter [00:10, 11.79iter/s]
Best score: 4.1050: : 97iter [00:10, 11.79iter/s]
Best score: 4.1050: : 98iter [00:10, 11.79iter/s]
Best score: 4.1050: : 99iter [00:10, 11.75iter/s]
[ITER 100] Best: 4.1050
[PARAMS] Current best parameters:
  fx: 518.6047
  fy: 519.6835
  px: 991.6755
  py: 734.4287
  k1: 0.01518391
  k2: 0.00670705
  k3: -0.00543022
  k4: -0.00053164
  p1: -0.00350977
  p2: -0.00421555
  p3: 0.00219744
  p4: -0.00144394
  s1: -0.0130
  s2: -0.0013
  s3: -0.0008
  s4: -0.0043
  tilt_x: -0.0062
  tilt_y: 0.0020
  scale: 2.9476
  rotation: 0.4203

Best score: 4.1050: : 99iter [00:10, 11.75iter/s]
Best score: 4.1050: : 100iter [00:10, 11.75iter/s]
Best score: 4.1050: : 101iter [00:10, 10.02iter/s]
Best score: 4.1050: : 101iter [00:10, 10.02iter/s]
Best score: 4.1050: : 102iter [00:10, 10.02iter/s]
Best score: 4.1050: : 103iter [00:10, 10.41iter/s]
Best score: 4.1050: : 103iter [00:10, 10.41iter/s]
Best score: 4.1050: : 104iter [00:11, 10.41iter/s]
Best score: 4.1050: : 105iter [00:11, 10.72iter/s]
Best score: 4.1050: : 105iter [00:11, 10.72iter/s]
Best score: 4.1050: : 106iter [00:11, 10.72iter/s]
Best score: 4.1050: : 107iter [00:11, 10.95iter/s]
Best score: 4.1050: : 107iter [00:11, 10.95iter/s]
Best score: 4.1050: : 108iter [00:11, 10.95iter/s]
Best score: 4.1050: : 109iter [00:11, 11.15iter/s]
Best score: 4.1050: : 109iter [00:11, 11.15iter/s]
Best score: 4.1050: : 110iter [00:11, 11.15iter/s]
Best score: 4.1050: : 111iter [00:11, 11.04iter/s]
Best score: 4.1050: : 111iter [00:11, 11.04iter/s]
Best score: 4.1050: : 112iter [00:11, 11.04iter/s]
Best score: 4.1050: : 113iter [00:11, 11.10iter/s]
Best score: 4.1050: : 113iter [00:11, 11.10iter/s]
Best score: 4.1050: : 114iter [00:11, 11.10iter/s]
Best score: 4.1050: : 115iter [00:11, 11.23iter/s]
Best score: 4.1050: : 115iter [00:12, 11.23iter/s]
Best score: 4.1050: : 116iter [00:12, 11.23iter/s]
Best score: 4.1050: : 117iter [00:12, 11.14iter/s]
Best score: 4.1050: : 117iter [00:12, 11.14iter/s]
Best score: 4.1050: : 118iter [00:12, 11.14iter/s]
Best score: 4.1050: : 119iter [00:12, 10.88iter/s]
Best score: 4.1050: : 119iter [00:12, 10.88iter/s]
Best score: 4.1050: : 120iter [00:12, 10.88iter/s]
Best score: 4.1050: : 121iter [00:12, 10.88iter/s]
Best score: 4.1050: : 121iter [00:12, 10.88iter/s]
Best score: 4.1050: : 122iter [00:12, 10.88iter/s]
Best score: 4.1050: : 123iter [00:12, 11.07iter/s]
Best score: 4.1050: : 123iter [00:12, 11.07iter/s]
Best score: 4.1050: : 124iter [00:12, 11.07iter/s]
Best score: 4.1050: : 125iter [00:12, 11.20iter/s]
Best score: 4.1050: : 125iter [00:12, 11.20iter/s]
Best score: 4.1050: : 126iter [00:13, 11.20iter/s]
Best score: 4.1050: : 127iter [00:13, 11.31iter/s]
Best score: 4.1050: : 127iter [00:13, 11.31iter/s]
Best score: 4.1050: : 128iter [00:13, 11.31iter/s]
Best score: 4.1050: : 129iter [00:13, 10.93iter/s]
Best score: 4.1050: : 129iter [00:13, 10.93iter/s]
Best score: 4.1050: : 130iter [00:13, 10.93iter/s]
Best score: 4.1050: : 131iter [00:13, 10.95iter/s]
Best score: 4.1050: : 131iter [00:13, 10.95iter/s]
Best score: 4.1050: : 132iter [00:13, 10.95iter/s]
Best score: 4.1050: : 133iter [00:13, 11.12iter/s]
Best score: 4.1050: : 133iter [00:13, 11.12iter/s]
Best score: 4.1050: : 134iter [00:13, 11.12iter/s]
Best score: 4.1050: : 135iter [00:13, 11.23iter/s]
Best score: 4.1050: : 135iter [00:13, 11.23iter/s]
Best score: 4.1050: : 136iter [00:13, 11.23iter/s]
Best score: 4.1050: : 137iter [00:13, 11.37iter/s]
Best score: 4.1050: : 137iter [00:14, 11.37iter/s]
Best score: 4.1050: : 138iter [00:14, 11.37iter/s]
Best score: 4.1050: : 139iter [00:14, 11.44iter/s]
Best score: 4.1050: : 139iter [00:14, 11.44iter/s]
Best score: 4.1050: : 140iter [00:14, 11.44iter/s]
Best score: 4.1050: : 141iter [00:14, 11.37iter/s]
Best score: 4.1050: : 141iter [00:14, 11.37iter/s]
Best score: 4.1050: : 142iter [00:14, 11.37iter/s]
Best score: 4.1050: : 143iter [00:14, 11.47iter/s]
Best score: 4.1050: : 143iter [00:14, 11.47iter/s]
Best score: 4.1050: : 144iter [00:14, 11.47iter/s]
Best score: 4.1050: : 145iter [00:14, 11.59iter/s]
Best score: 4.1050: : 145iter [00:14, 11.59iter/s]
Best score: 4.1050: : 146iter [00:14, 11.59iter/s]
Best score: 4.1050: : 147iter [00:14, 11.61iter/s]
Best score: 4.1050: : 147iter [00:14, 11.61iter/s]
Best score: 4.1050: : 148iter [00:14, 11.61iter/s]
Best score: 4.1050: : 149iter [00:14, 11.67iter/s]
[ITER 150] Best: 4.1050
[PARAMS] Current best parameters:
  fx: 518.6047
  fy: 519.6835
  px: 991.6755
  py: 734.4287
  k1: 0.01518391
  k2: 0.00670705
  k3: -0.00543022
  k4: -0.00053164
  p1: -0.00350977
  p2: -0.00421555
  p3: 0.00219744
  p4: -0.00144394
  s1: -0.0130
  s2: -0.0013
  s3: -0.0008
  s4: -0.0043
  tilt_x: -0.0062
  tilt_y: 0.0020
  scale: 2.9476
  rotation: 0.4203

Best score: 4.1050: : 149iter [00:15, 11.67iter/s]
Best score: 4.1050: : 150iter [00:15, 11.67iter/s]
Best score: 4.1050: : 151iter [00:15,  7.52iter/s]
Best score: 4.1050: : 151iter [00:15,  7.52iter/s]
Best score: 4.1050: : 152iter [00:15,  7.52iter/s]
Best score: 4.1050: : 153iter [00:15,  8.42iter/s]
Best score: 4.1050: : 153iter [00:15,  8.42iter/s]
Best score: 4.1050: : 154iter [00:15,  8.42iter/s]
Best score: 4.1050: : 155iter [00:15,  9.21iter/s]
Best score: 4.1050: : 155iter [00:15,  9.21iter/s]
Best score: 4.1050: : 156iter [00:15,  9.21iter/s]
Best score: 4.1050: : 157iter [00:15,  9.90iter/s]
Best score: 4.1050: : 157iter [00:16,  9.90iter/s]
Best score: 4.1050: : 158iter [00:16,  9.90iter/s]
Best score: 4.1050: : 159iter [00:16, 10.42iter/s]
Best score: 4.1050: : 159iter [00:16, 10.42iter/s]
Best score: 4.1050: : 160iter [00:16, 10.42iter/s]
Best score: 4.1050: : 161iter [00:16, 10.65iter/s]
Best score: 4.1050: : 161iter [00:16, 10.65iter/s]
Best score: 4.1050: : 162iter [00:16, 10.65iter/s]
Best score: 4.1050: : 163iter [00:16, 10.98iter/s]
Best score: 4.1050: : 163iter [00:16, 10.98iter/s]
Best score: 4.1050: : 164iter [00:16, 10.98iter/s]
Best score: 4.1050: : 165iter [00:16, 11.23iter/s]
Best score: 4.1050: : 165iter [00:16, 11.23iter/s]
Best score: 4.1050: : 166iter [00:16, 11.23iter/s]
Best score: 4.1050: : 167iter [00:16, 11.39iter/s]
Best score: 4.1050: : 167iter [00:16, 11.39iter/s]
Best score: 4.1050: : 168iter [00:16, 11.39iter/s]
Best score: 4.1050: : 169iter [00:16, 11.53iter/s]
Best score: 4.1050: : 169iter [00:17, 11.53iter/s]
Best score: 4.1050: : 170iter [00:17, 11.53iter/s]
Best score: 4.1050: : 171iter [00:17, 11.41iter/s]
Best score: 4.1050: : 171iter [00:17, 11.41iter/s]
Best score: 4.1050: : 172iter [00:17, 11.41iter/s]
Best score: 4.1050: : 173iter [00:17, 11.57iter/s]
Best score: 4.1050: : 173iter [00:17, 11.57iter/s]
Best score: 4.1050: : 174iter [00:17, 11.57iter/s]
Best score: 4.1050: : 175iter [00:17, 11.62iter/s]
Best score: 4.1050: : 175iter [00:17, 11.62iter/s]
Best score: 4.1050: : 176iter [00:17, 11.62iter/s]
Best score: 4.1050: : 177iter [00:17, 11.70iter/s]
Best score: 4.1050: : 177iter [00:17, 11.70iter/s]
Best score: 4.1050: : 178iter [00:17, 11.70iter/s]
Best score: 4.1050: : 179iter [00:17, 11.70iter/s]
Best score: 4.1050: : 179iter [00:17, 11.70iter/s]
Best score: 4.1050: : 180iter [00:18, 11.70iter/s]
Best score: 4.1050: : 181iter [00:18, 11.50iter/s]
Best score: 4.1050: : 181iter [00:18, 11.50iter/s]
Best score: 4.1050: : 182iter [00:18, 11.50iter/s]
Best score: 4.1050: : 183iter [00:18, 11.55iter/s]
Best score: 4.1050: : 183iter [00:18, 11.55iter/s]
Best score: 4.1050: : 184iter [00:18, 11.55iter/s]
Best score: 4.1050: : 185iter [00:18, 11.68iter/s]
Best score: 4.1050: : 185iter [00:18, 11.68iter/s]
Best score: 4.1050: : 186iter [00:18, 11.68iter/s]
Best score: 4.1050: : 187iter [00:18, 11.78iter/s]
Best score: 4.1050: : 187iter [00:18, 11.78iter/s]
Best score: 4.1050: : 188iter [00:18, 11.78iter/s]
Best score: 4.1050: : 189iter [00:18, 11.79iter/s]
Best score: 4.1050: : 189iter [00:18, 11.79iter/s]
Best score: 4.1050: : 190iter [00:18, 11.79iter/s]
Best score: 4.1050: : 191iter [00:18, 11.65iter/s]
Best score: 4.1050: : 191iter [00:18, 11.65iter/s]
Best score: 4.1050: : 192iter [00:19, 11.65iter/s]
Best score: 4.1050: : 193iter [00:19, 11.78iter/s]
Best score: 4.1050: : 193iter [00:19, 11.78iter/s]
Best score: 4.1050: : 194iter [00:19, 11.78iter/s]
Best score: 4.1050: : 195iter [00:19, 11.86iter/s]
Best score: 4.1050: : 195iter [00:19, 11.86iter/s]
Best score: 4.1050: : 196iter [00:19, 11.86iter/s]
Best score: 4.1050: : 197iter [00:19, 11.89iter/s]
Best score: 4.1050: : 197iter [00:19, 11.89iter/s]
Best score: 4.1050: : 198iter [00:19, 11.89iter/s]
Best score: 4.1050: : 199iter [00:19, 11.90iter/s]
[ITER 200] Best: 4.1050
[PARAMS] Current best parameters:
  fx: 518.6047
  fy: 519.6835
  px: 991.6755
  py: 734.4287
  k1: 0.01518391
  k2: 0.00670705
  k3: -0.00543022
  k4: -0.00053164
  p1: -0.00350977
  p2: -0.00421555
  p3: 0.00219744
  p4: -0.00144394
  s1: -0.0130
  s2: -0.0013
  s3: -0.0008
  s4: -0.0043
  tilt_x: -0.0062
  tilt_y: 0.0020
  scale: 2.9476
  rotation: 0.4203

Best score: 4.1050: : 199iter [00:19, 11.90iter/s]
Best score: 4.1050: : 200iter [00:19, 11.90iter/s]
Best score: 4.1050: : 201iter [00:19,  7.71iter/s]
Best score: 4.1050: : 201iter [00:20,  7.71iter/s]
Best score: 4.1050: : 202iter [00:20,  7.71iter/s]
Best score: 4.1050: : 203iter [00:20,  8.62iter/s]
Best score: 4.1050: : 203iter [00:20,  8.62iter/s]
Best score: 4.1050: : 204iter [00:20,  8.62iter/s]
Best score: 4.1050: : 205iter [00:20,  9.39iter/s]
Best score: 4.1050: : 205iter [00:20,  9.39iter/s]
Best score: 4.1050: : 206iter [00:20,  9.39iter/s]
Best score: 4.1050: : 207iter [00:20,  9.98iter/s]
Best score: 4.1050: : 207iter [00:20,  9.98iter/s]
Best score: 4.1050: : 208iter [00:20,  9.98iter/s]
Best score: 4.1050: : 209iter [00:20, 10.49iter/s]
Best score: 2.2512: : 209iter [00:20, 10.49iter/s]
Best score: 2.2512: : 210iter [00:20, 10.49iter/s]
Best score: 2.2512: : 211iter [00:20, 10.74iter/s]
Best score: 2.2512: : 211iter [00:20, 10.74iter/s]
Best score: 2.2512: : 212iter [00:21, 10.74iter/s]
Best score: 2.2512: : 213iter [00:21, 11.08iter/s]
Best score: 2.2512: : 213iter [00:21, 11.08iter/s]
Best score: 2.2512: : 214iter [00:21, 11.08iter/s]
Best score: 2.2512: : 215iter [00:21, 11.33iter/s]
Best score: 2.2512: : 215iter [00:21, 11.33iter/s]
Best score: 2.2512: : 216iter [00:21, 11.33iter/s]
Best score: 2.2512: : 217iter [00:21, 11.53iter/s]
Best score: 2.2512: : 217iter [00:21, 11.53iter/s]
Best score: 2.2512: : 218iter [00:21, 11.53iter/s]
Best score: 2.2512: : 219iter [00:21, 11.61iter/s]
Best score: 2.2512: : 219iter [00:21, 11.61iter/s]
Best score: 2.2512: : 220iter [00:21, 11.61iter/s]
Best score: 2.2512: : 221iter [00:21, 11.49iter/s]
Best score: 2.2512: : 221iter [00:21, 11.49iter/s]
Best score: 2.2512: : 222iter [00:21, 11.49iter/s]
Best score: 2.2512: : 223iter [00:21, 11.65iter/s]
Best score: 2.2512: : 223iter [00:21, 11.65iter/s]
Best score: 2.2512: : 224iter [00:22, 11.65iter/s]
Best score: 2.2512: : 225iter [00:22, 11.74iter/s]
Best score: 2.2512: : 225iter [00:22, 11.74iter/s]
Best score: 2.2512: : 226iter [00:22, 11.74iter/s]
Best score: 2.2512: : 227iter [00:22, 11.79iter/s]
Best score: 2.2512: : 227iter [00:22, 11.79iter/s]
Best score: 2.2512: : 228iter [00:22, 11.79iter/s]
Best score: 2.2512: : 229iter [00:22, 11.86iter/s]
Best score: 2.2512: : 229iter [00:22, 11.86iter/s]
Best score: 2.2512: : 230iter [00:22, 11.86iter/s]
Best score: 2.2512: : 231iter [00:22, 11.71iter/s]
Best score: 2.2512: : 231iter [00:22, 11.71iter/s]
Best score: 2.2512: : 232iter [00:22, 11.71iter/s]
Best score: 2.2512: : 233iter [00:22, 11.79iter/s]
Best score: 2.2512: : 233iter [00:22, 11.79iter/s]
Best score: 2.2512: : 234iter [00:22, 11.79iter/s]
Best score: 2.2512: : 235iter [00:22, 11.81iter/s]
Best score: 2.2512: : 235iter [00:22, 11.81iter/s]
Best score: 2.2512: : 236iter [00:23, 11.81iter/s]
Best score: 2.2512: : 237iter [00:23, 11.90iter/s]
Best score: 2.2512: : 237iter [00:23, 11.90iter/s]
Best score: 2.2512: : 238iter [00:23, 11.90iter/s]
Best score: 2.2512: : 239iter [00:23, 11.92iter/s]
Best score: 2.2512: : 239iter [00:23, 11.92iter/s]
Best score: 2.2512: : 240iter [00:23, 11.92iter/s]
Best score: 2.2512: : 241iter [00:23, 11.73iter/s]
Best score: 2.2512: : 241iter [00:23, 11.73iter/s]
Best score: 2.2512: : 242iter [00:23, 11.73iter/s]
Best score: 2.2512: : 243iter [00:23, 11.81iter/s]
Best score: 2.2512: : 243iter [00:23, 11.81iter/s]
Best score: 2.2512: : 244iter [00:23, 11.81iter/s]
Best score: 2.2512: : 245iter [00:23, 11.89iter/s]
Best score: 2.2512: : 245iter [00:23, 11.89iter/s]
Best score: 2.2512: : 246iter [00:23, 11.89iter/s]
Best score: 2.2512: : 247iter [00:23, 11.92iter/s]
Best score: 2.2512: : 247iter [00:23, 11.92iter/s]
Best score: 2.2512: : 248iter [00:24, 11.92iter/s]
Best score: 2.2512: : 249iter [00:24, 11.93iter/s]
[ITER 250] Best: 2.2512
[PARAMS] Current best parameters:
  fx: 517.5497
  fy: 516.3940
  px: 990.1766
  py: 732.4715
  k1: 0.01970412
  k2: 0.00516655
  k3: -0.01078389
  k4: 0.00235772
  p1: 0.00123370
  p2: -0.01230245
  p3: 0.00562632
  p4: 0.01792753
  s1: -0.0144
  s2: -0.0090
  s3: -0.0051
  s4: -0.0290
  tilt_x: -0.0312
  tilt_y: -0.0073
  scale: 2.9774
  rotation: 0.1155

Best score: 2.2512: : 249iter [00:24, 11.93iter/s]
Best score: 2.2512: : 250iter [00:24, 11.93iter/s]
Best score: 2.2512: : 251iter [00:24,  7.71iter/s]
Best score: 2.2512: : 251iter [00:24,  7.71iter/s]
Best score: 2.2512: : 252iter [00:24,  7.71iter/s]
Best score: 2.2512: : 253iter [00:24,  8.62iter/s]
Best score: 2.2512: : 253iter [00:24,  8.62iter/s]
Best score: 2.2512: : 254iter [00:24,  8.62iter/s]
Best score: 2.2512: : 255iter [00:24,  9.41iter/s]
Best score: 2.2512: : 255iter [00:24,  9.41iter/s]
Best score: 2.2512: : 256iter [00:25,  9.41iter/s]
Best score: 2.2512: : 257iter [00:25, 10.08iter/s]
Best score: 2.2512: : 257iter [00:25, 10.08iter/s]
Best score: 2.2512: : 258iter [00:25, 10.08iter/s]
Best score: 2.2512: : 259iter [00:25, 10.56iter/s]
Best score: 2.0425: : 259iter [00:25, 10.56iter/s]
Best score: 2.0425: : 260iter [00:25, 10.56iter/s]
Best score: 2.0425: : 261iter [00:25,  8.79iter/s]
Best score: 2.0425: : 261iter [00:25,  8.79iter/s]
Best score: 2.0425: : 262iter [00:25,  8.79iter/s]
Best score: 2.0425: : 263iter [00:25,  9.55iter/s]
Best score: 2.0425: : 263iter [00:25,  9.55iter/s]
Best score: 2.0425: : 264iter [00:25,  9.55iter/s]
Best score: 2.0425: : 265iter [00:25, 10.13iter/s]
Best score: 2.0425: : 265iter [00:25, 10.13iter/s]
Best score: 2.0425: : 266iter [00:26, 10.13iter/s]
Best score: 2.0425: : 267iter [00:26, 10.64iter/s]
Best score: 2.0425: : 267iter [00:26, 10.64iter/s]
Best score: 2.0425: : 268iter [00:26, 10.64iter/s]
Best score: 2.0425: : 269iter [00:26, 10.98iter/s]
Best score: 1.5647: : 269iter [00:26, 10.98iter/s]
Best score: 1.5647: : 270iter [00:26, 10.98iter/s]
Best score: 1.5647: : 271iter [00:26, 11.03iter/s]
Best score: 1.5647: : 271iter [00:26, 11.03iter/s]
Best score: 1.5647: : 272iter [00:26, 11.03iter/s]
Best score: 1.5647: : 273iter [00:26, 11.26iter/s]
Best score: 1.5647: : 273iter [00:26, 11.26iter/s]
Best score: 1.5647: : 274iter [00:26, 11.26iter/s]
Best score: 1.5647: : 275iter [00:26, 11.46iter/s]
Best score: 1.5647: : 275iter [00:26, 11.46iter/s]
Best score: 1.5647: : 276iter [00:26, 11.46iter/s]
Best score: 1.5647: : 277iter [00:26, 11.63iter/s]
Best score: 1.5647: : 277iter [00:26, 11.63iter/s]
Best score: 1.5647: : 278iter [00:27, 11.63iter/s]
Best score: 1.5647: : 279iter [00:27, 11.75iter/s]
Best score: 1.2032: : 279iter [00:27, 11.75iter/s]
Best score: 1.2032: : 280iter [00:27, 11.75iter/s]
Best score: 1.2032: : 281iter [00:27, 11.58iter/s]
Best score: 1.2032: : 281iter [00:27, 11.58iter/s]
Best score: 1.2032: : 282iter [00:27, 11.58iter/s]
Best score: 1.2032: : 283iter [00:27, 11.71iter/s]
Best score: 1.2032: : 283iter [00:27, 11.71iter/s]
Best score: 1.2032: : 284iter [00:27, 11.71iter/s]
Best score: 1.2032: : 285iter [00:27, 11.78iter/s]
Best score: 1.2032: : 285iter [00:27, 11.78iter/s]
Best score: 1.2032: : 286iter [00:27, 11.78iter/s]
Best score: 1.2032: : 287iter [00:27, 11.79iter/s]
Best score: 1.2032: : 287iter [00:27, 11.79iter/s]
Best score: 1.2032: : 288iter [00:27, 11.79iter/s]
Best score: 1.2032: : 289iter [00:27, 11.77iter/s]
Best score: 0.9681: : 289iter [00:27, 11.77iter/s]
Best score: 0.9681: : 290iter [00:28, 11.77iter/s]
Best score: 0.9681: : 291iter [00:28, 11.63iter/s]
Best score: 0.9681: : 291iter [00:28, 11.63iter/s]
Best score: 0.9681: : 292iter [00:28, 11.63iter/s]
Best score: 0.9681: : 293iter [00:28,  8.90iter/s]
Best score: 0.9681: : 293iter [00:28,  8.90iter/s]
Best score: 0.9681: : 294iter [00:28,  8.90iter/s]
Best score: 0.9681: : 295iter [00:28,  9.58iter/s]
Best score: 0.9681: : 295iter [00:28,  9.58iter/s]
Best score: 0.9681: : 296iter [00:28,  9.58iter/s]
Best score: 0.9681: : 297iter [00:28, 10.12iter/s]
Best score: 0.9681: : 297iter [00:28, 10.12iter/s]
Best score: 0.9681: : 298iter [00:28, 10.12iter/s]
Best score: 0.9681: : 299iter [00:28, 10.61iter/s]
Best score: 0.9681: : 299iter [00:29, 10.61iter/s]
[ITER 300] Best: 0.9681
[PARAMS] Current best parameters:
  fx: 517.6913
  fy: 518.8337
  px: 992.5095
  py: 734.7371
  k1: -0.06922154
  k2: 0.11659843
  k3: -0.06047297
  k4: 0.01021696
  p1: -0.00337195
  p2: 0.00712736
  p3: 0.01391785
  p4: -0.00762399
  s1: -0.0356
  s2: 0.0092
  s3: -0.0116
  s4: 0.0075
  tilt_x: -0.0201
  tilt_y: 0.0209
  scale: 3.0769
  rotation: 0.1555

Best score: 0.9681: : 300iter [00:29, 10.61iter/s]
Best score: 0.9681: : 301iter [00:29,  7.26iter/s]
Best score: 0.9681: : 301iter [00:29,  7.26iter/s]
Best score: 0.9681: : 302iter [00:29,  7.26iter/s]
Best score: 0.9681: : 303iter [00:29,  8.22iter/s]
Best score: 0.9681: : 303iter [00:29,  8.22iter/s]
Best score: 0.9681: : 304iter [00:29,  8.22iter/s]
Best score: 0.9681: : 305iter [00:29,  9.06iter/s]
Best score: 0.9681: : 305iter [00:29,  9.06iter/s]
Best score: 0.9681: : 306iter [00:29,  9.06iter/s]
Best score: 0.9681: : 307iter [00:29,  9.78iter/s]
Best score: 0.9681: : 307iter [00:29,  9.78iter/s]
Best score: 0.9681: : 308iter [00:30,  9.78iter/s]
Best score: 0.9681: : 309iter [00:30, 10.37iter/s]
Best score: 0.6763: : 309iter [00:30, 10.37iter/s]
Best score: 0.6763: : 310iter [00:30, 10.37iter/s]
Best score: 0.6763: : 311iter [00:30, 10.61iter/s]
Best score: 0.6763: : 311iter [00:30, 10.61iter/s]
Best score: 0.6763: : 312iter [00:30, 10.61iter/s]
Best score: 0.6763: : 313iter [00:30, 10.95iter/s]
Best score: 0.6763: : 313iter [00:30, 10.95iter/s]
Best score: 0.6763: : 314iter [00:30, 10.95iter/s]
Best score: 0.6763: : 315iter [00:30, 11.20iter/s]
Best score: 0.6763: : 315iter [00:30, 11.20iter/s]
Best score: 0.6763: : 316iter [00:30, 11.20iter/s]
Best score: 0.6763: : 317iter [00:30, 11.42iter/s]
Best score: 0.6763: : 317iter [00:30, 11.42iter/s]
Best score: 0.6763: : 318iter [00:30, 11.42iter/s]
Best score: 0.6763: : 319iter [00:30, 11.56iter/s]
Best score: 0.6763: : 319iter [00:31, 11.56iter/s]
Best score: 0.6763: : 320iter [00:31, 11.56iter/s]
Best score: 0.6763: : 321iter [00:31, 11.45iter/s]
Best score: 0.6763: : 321iter [00:31, 11.45iter/s]
Best score: 0.6763: : 322iter [00:31, 11.45iter/s]
Best score: 0.6763: : 323iter [00:31, 11.60iter/s]
Best score: 0.6763: : 323iter [00:31, 11.60iter/s]
Best score: 0.6763: : 324iter [00:31, 11.60iter/s]
Best score: 0.6763: : 325iter [00:31, 11.72iter/s]
Best score: 0.6763: : 325iter [00:31, 11.72iter/s]
Best score: 0.6763: : 326iter [00:31, 11.72iter/s]
Best score: 0.6763: : 327iter [00:31, 11.80iter/s]
Best score: 0.6763: : 327iter [00:31, 11.80iter/s]
Best score: 0.6763: : 328iter [00:31, 11.80iter/s]
Best score: 0.6763: : 329iter [00:31, 11.88iter/s]
Best score: 0.6763: : 329iter [00:31, 11.88iter/s]
Best score: 0.6763: : 330iter [00:31, 11.88iter/s]
Best score: 0.6763: : 331iter [00:31, 11.73iter/s]
Best score: 0.6763: : 331iter [00:32, 11.73iter/s]
Best score: 0.6763: : 332iter [00:32, 11.73iter/s]
Best score: 0.6763: : 333iter [00:32, 11.78iter/s]
Best score: 0.6763: : 333iter [00:32, 11.78iter/s]
Best score: 0.6763: : 334iter [00:32, 11.78iter/s]
Best score: 0.6763: : 335iter [00:32, 11.83iter/s]
Best score: 0.6763: : 335iter [00:32, 11.83iter/s]
Best score: 0.6763: : 336iter [00:32, 11.83iter/s]
Best score: 0.6763: : 337iter [00:32, 11.85iter/s]
Best score: 0.6763: : 337iter [00:32, 11.85iter/s]
Best score: 0.6763: : 338iter [00:32, 11.85iter/s]
Best score: 0.6763: : 339iter [00:32, 11.89iter/s]
Best score: 0.6763: : 339iter [00:32, 11.89iter/s]
Best score: 0.6763: : 340iter [00:32, 11.89iter/s]
Best score: 0.6763: : 341iter [00:32, 11.73iter/s]
Best score: 0.6763: : 341iter [00:32, 11.73iter/s]
Best score: 0.6763: : 342iter [00:32, 11.73iter/s]
Best score: 0.6763: : 343iter [00:32, 11.79iter/s]
Best score: 0.6763: : 343iter [00:33, 11.79iter/s]
Best score: 0.6763: : 344iter [00:33, 11.79iter/s]
Best score: 0.6763: : 345iter [00:33, 11.79iter/s]
Best score: 0.6763: : 345iter [00:33, 11.79iter/s]
Best score: 0.6763: : 346iter [00:33, 11.79iter/s]
Best score: 0.6763: : 347iter [00:33, 11.82iter/s]
Best score: 0.6763: : 347iter [00:33, 11.82iter/s]
Best score: 0.6763: : 348iter [00:33, 11.82iter/s]
Best score: 0.6763: : 349iter [00:33, 11.88iter/s]
[ITER 350] Best: 0.5476
[PARAMS] Current best parameters:
  fx: 519.8587
  fy: 519.9976
  px: 991.7616
  py: 729.1708
  k1: -0.05228662
  k2: 0.10743534
  k3: -0.06745418
  k4: 0.01400246
  p1: -0.00608737
  p2: 0.00573239
  p3: 0.01230689
  p4: -0.00265303
  s1: -0.0273
  s2: 0.0082
  s3: -0.0160
  s4: 0.0027
  tilt_x: -0.0403
  tilt_y: 0.0263
  scale: 3.0441
  rotation: 0.1539

Best score: 0.5476: : 349iter [00:33, 11.88iter/s]
Best score: 0.5476: : 350iter [00:33, 11.88iter/s]
Best score: 0.5476: : 351iter [00:33,  7.68iter/s]
Best score: 0.5476: : 351iter [00:34,  7.68iter/s]
Best score: 0.5476: : 352iter [00:34,  7.68iter/s]
Best score: 0.5476: : 353iter [00:34,  8.59iter/s]
Best score: 0.5476: : 353iter [00:34,  8.59iter/s]
Best score: 0.5476: : 354iter [00:34,  8.59iter/s]
Best score: 0.5476: : 355iter [00:34,  9.40iter/s]
Best score: 0.5476: : 355iter [00:34,  9.40iter/s]
Best score: 0.5476: : 356iter [00:34,  9.40iter/s]
Best score: 0.5476: : 357iter [00:34, 10.03iter/s]
Best score: 0.5476: : 357iter [00:34, 10.03iter/s]
Best score: 0.5476: : 358iter [00:34, 10.03iter/s]
Best score: 0.5476: : 359iter [00:34, 10.56iter/s]
Best score: 0.5476: : 359iter [00:34, 10.56iter/s]
Best score: 0.5476: : 360iter [00:34, 10.56iter/s]
Best score: 0.5476: : 361iter [00:34, 10.75iter/s]
Best score: 0.5476: : 361iter [00:34, 10.75iter/s]
Best score: 0.5476: : 362iter [00:34, 10.75iter/s]
Best score: 0.5476: : 363iter [00:34, 11.03iter/s]
Best score: 0.5476: : 363iter [00:35, 11.03iter/s]
Best score: 0.5476: : 364iter [00:35, 11.03iter/s]
Best score: 0.5476: : 365iter [00:35, 11.26iter/s]
Best score: 0.5476: : 365iter [00:35, 11.26iter/s]
Best score: 0.5476: : 366iter [00:35, 11.26iter/s]
Best score: 0.5476: : 367iter [00:35, 11.48iter/s]
Best score: 0.5476: : 367iter [00:35, 11.48iter/s]
Best score: 0.5476: : 368iter [00:35, 11.48iter/s]
Best score: 0.5476: : 369iter [00:35, 11.59iter/s]
Best score: 0.5476: : 369iter [00:35, 11.59iter/s]
Best score: 0.5476: : 370iter [00:35, 11.59iter/s]
Best score: 0.5476: : 371iter [00:35, 11.49iter/s]
Best score: 0.5476: : 371iter [00:35, 11.49iter/s]
Best score: 0.5476: : 372iter [00:35, 11.49iter/s]
Best score: 0.5476: : 373iter [00:35, 11.67iter/s]
Best score: 0.5476: : 373iter [00:35, 11.67iter/s]
Best score: 0.5476: : 374iter [00:35, 11.67iter/s]
Best score: 0.5476: : 375iter [00:35, 11.77iter/s]
Best score: 0.5476: : 375iter [00:36, 11.77iter/s]
Best score: 0.5476: : 376iter [00:36, 11.77iter/s]
Best score: 0.5476: : 377iter [00:36, 11.84iter/s]
Best score: 0.5476: : 377iter [00:36, 11.84iter/s]
Best score: 0.5476: : 378iter [00:36, 11.84iter/s]
Best score: 0.5476: : 379iter [00:36, 11.85iter/s]
Best score: 0.5476: : 379iter [00:36, 11.85iter/s]
Best score: 0.5476: : 380iter [00:36, 11.85iter/s]
Best score: 0.5476: : 381iter [00:36, 11.64iter/s]
Best score: 0.5476: : 381iter [00:36, 11.64iter/s]
Best score: 0.5476: : 382iter [00:36, 11.64iter/s]
Best score: 0.5476: : 383iter [00:36, 11.75iter/s]
Best score: 0.5476: : 383iter [00:36, 11.75iter/s]
Best score: 0.5476: : 384iter [00:36, 11.75iter/s]
Best score: 0.5476: : 385iter [00:36, 11.81iter/s]
Best score: 0.5476: : 385iter [00:36, 11.81iter/s]
Best score: 0.5476: : 386iter [00:36, 11.81iter/s]
Best score: 0.5476: : 387iter [00:36, 11.87iter/s]
Best score: 0.5476: : 387iter [00:37, 11.87iter/s]
Best score: 0.5476: : 388iter [00:37, 11.87iter/s]
Best score: 0.5476: : 389iter [00:37, 11.90iter/s]
Best score: 0.5476: : 389iter [00:37, 11.90iter/s]
Best score: 0.5476: : 390iter [00:37, 11.90iter/s]
Best score: 0.5476: : 391iter [00:37, 11.67iter/s]
Best score: 0.5476: : 391iter [00:37, 11.67iter/s]
Best score: 0.5476: : 392iter [00:37, 11.67iter/s]
Best score: 0.5476: : 393iter [00:37, 11.74iter/s]
Best score: 0.5476: : 393iter [00:37, 11.74iter/s]
Best score: 0.5476: : 394iter [00:37, 11.74iter/s]
Best score: 0.5476: : 395iter [00:37, 11.79iter/s]
Best score: 0.5476: : 395iter [00:37, 11.79iter/s]
Best score: 0.5476: : 396iter [00:37, 11.79iter/s]
Best score: 0.5476: : 397iter [00:37, 11.84iter/s]
Best score: 0.5476: : 397iter [00:37, 11.84iter/s]
Best score: 0.5476: : 398iter [00:37, 11.84iter/s]
Best score: 0.5476: : 399iter [00:37, 11.85iter/s]
[ITER 400] Best: 0.5307
[PARAMS] Current best parameters:
  fx: 532.2889
  fy: 533.2666
  px: 991.4765
  py: 730.8731
  k1: -0.05782062
  k2: 0.09335474
  k3: -0.05534838
  k4: 0.01060053
  p1: -0.00008330
  p2: 0.00663421
  p3: 0.01730131
  p4: -0.01153172
  s1: -0.0358
  s2: 0.0167
  s3: -0.0181
  s4: 0.0078
  tilt_x: -0.0472
  tilt_y: 0.0285
  scale: 3.0281
  rotation: 0.1739

Best score: 0.5307: : 399iter [00:38, 11.85iter/s]
Best score: 0.5307: : 400iter [00:38, 11.85iter/s]
Best score: 0.5307: : 401iter [00:38,  7.66iter/s]
Best score: 0.5307: : 401iter [00:38,  7.66iter/s]
Best score: 0.5307: : 402iter [00:38,  7.66iter/s]
Best score: 0.5307: : 403iter [00:38,  8.58iter/s]
Best score: 0.5307: : 403iter [00:38,  8.58iter/s]
Best score: 0.5307: : 404iter [00:38,  8.58iter/s]
Best score: 0.5307: : 405iter [00:38,  9.40iter/s]
Best score: 0.5307: : 405iter [00:38,  9.40iter/s]
Best score: 0.5307: : 406iter [00:38,  9.40iter/s]
Best score: 0.5307: : 407iter [00:38, 10.06iter/s]
Best score: 0.5307: : 407iter [00:39, 10.06iter/s]
Best score: 0.5307: : 408iter [00:39, 10.06iter/s]
Best score: 0.5307: : 409iter [00:39, 10.59iter/s]
Best score: 0.4508: : 409iter [00:39, 10.59iter/s]
Best score: 0.4508: : 410iter [00:39, 10.59iter/s]
Best score: 0.4508: : 411iter [00:39, 10.80iter/s]
Best score: 0.4508: : 411iter [00:39, 10.80iter/s]
Best score: 0.4508: : 412iter [00:39, 10.80iter/s]
Best score: 0.4508: : 413iter [00:39, 11.16iter/s]
Best score: 0.4508: : 413iter [00:39, 11.16iter/s]
Best score: 0.4508: : 414iter [00:39, 11.16iter/s]
Best score: 0.4508: : 415iter [00:39, 11.41iter/s]
Best score: 0.4508: : 415iter [00:39, 11.41iter/s]
Best score: 0.4508: : 416iter [00:39, 11.41iter/s]
Best score: 0.4508: : 417iter [00:39, 11.61iter/s]
Best score: 0.4508: : 417iter [00:39, 11.61iter/s]
Best score: 0.4508: : 418iter [00:39, 11.61iter/s]
Best score: 0.4508: : 419iter [00:39, 11.74iter/s]
Best score: 0.4351: : 419iter [00:40, 11.74iter/s]
Best score: 0.4351: : 420iter [00:40, 11.74iter/s]
Best score: 0.4351: : 421iter [00:40, 11.59iter/s]
Best score: 0.4351: : 421iter [00:40, 11.59iter/s]
Best score: 0.4351: : 422iter [00:40, 11.59iter/s]
Best score: 0.4351: : 423iter [00:40, 11.70iter/s]
Best score: 0.4351: : 423iter [00:40, 11.70iter/s]
Best score: 0.4351: : 424iter [00:40, 11.70iter/s]
Best score: 0.4351: : 425iter [00:40, 11.78iter/s]
Best score: 0.4351: : 425iter [00:40, 11.78iter/s]
Best score: 0.4351: : 426iter [00:40, 11.78iter/s]
Best score: 0.4351: : 427iter [00:40, 11.80iter/s]
Best score: 0.4351: : 427iter [00:40, 11.80iter/s]
Best score: 0.4351: : 428iter [00:40, 11.80iter/s]
Best score: 0.4351: : 429iter [00:40, 11.85iter/s]
Best score: 0.4179: : 429iter [00:40, 11.85iter/s]
Best score: 0.4179: : 430iter [00:40, 11.85iter/s]
Best score: 0.4179: : 431iter [00:40, 11.69iter/s]
Best score: 0.4179: : 431iter [00:41, 11.69iter/s]
Best score: 0.4179: : 432iter [00:41, 11.69iter/s]
Best score: 0.4179: : 433iter [00:41, 11.75iter/s]
Best score: 0.4179: : 433iter [00:41, 11.75iter/s]
Best score: 0.4179: : 434iter [00:41, 11.75iter/s]
Best score: 0.4179: : 435iter [00:41, 11.80iter/s]
Best score: 0.4179: : 435iter [00:41, 11.80iter/s]
Best score: 0.4179: : 436iter [00:41, 11.80iter/s]
Best score: 0.4179: : 437iter [00:41, 11.87iter/s]
Best score: 0.4179: : 437iter [00:41, 11.87iter/s]
Best score: 0.4179: : 438iter [00:41, 11.87iter/s]
Best score: 0.4179: : 439iter [00:41, 11.92iter/s]
Best score: 0.3818: : 439iter [00:41, 11.92iter/s]
Best score: 0.3818: : 440iter [00:41, 11.92iter/s]
Best score: 0.3818: : 441iter [00:41, 11.74iter/s]
Best score: 0.3818: : 441iter [00:41, 11.74iter/s]
Best score: 0.3818: : 442iter [00:42, 11.74iter/s]
Best score: 0.3818: : 443iter [00:42, 11.80iter/s]
Best score: 0.3818: : 443iter [00:42, 11.80iter/s]
Best score: 0.3818: : 444iter [00:42, 11.80iter/s]
Best score: 0.3818: : 445iter [00:42, 11.88iter/s]
Best score: 0.3818: : 445iter [00:42, 11.88iter/s]
Best score: 0.3818: : 446iter [00:42, 11.88iter/s]
Best score: 0.3818: : 447iter [00:42, 11.94iter/s]
Best score: 0.3818: : 447iter [00:42, 11.94iter/s]
Best score: 0.3818: : 448iter [00:42, 11.94iter/s]
Best score: 0.3818: : 449iter [00:42, 11.86iter/s]
[ITER 450] Best: 0.3787
[PARAMS] Current best parameters:
  fx: 532.0669
  fy: 533.0736
  px: 991.5955
  py: 731.3895
  k1: -0.05343896
  k2: 0.09035016
  k3: -0.05762417
  k4: 0.01217397
  p1: -0.00236535
  p2: 0.00386034
  p3: 0.01611799
  p4: -0.00710521
  s1: -0.0263
  s2: 0.0083
  s3: -0.0188
  s4: 0.0048
  tilt_x: -0.0382
  tilt_y: 0.0232
  scale: 3.0272
  rotation: 0.0846

Best score: 0.3787: : 449iter [00:42, 11.86iter/s]
Best score: 0.3787: : 450iter [00:42, 11.86iter/s]
Best score: 0.3787: : 451iter [00:42,  7.66iter/s]
Best score: 0.3787: : 451iter [00:43,  7.66iter/s]
Best score: 0.3787: : 452iter [00:43,  7.66iter/s]
Best score: 0.3787: : 453iter [00:43,  8.58iter/s]
Best score: 0.3787: : 453iter [00:43,  8.58iter/s]
Best score: 0.3787: : 454iter [00:43,  8.58iter/s]
Best score: 0.3787: : 455iter [00:43,  9.35iter/s]
Best score: 0.3787: : 455iter [00:43,  9.35iter/s]
Best score: 0.3787: : 456iter [00:43,  9.35iter/s]
Best score: 0.3787: : 457iter [00:43,  9.98iter/s]
Best score: 0.3787: : 457iter [00:43,  9.98iter/s]
Best score: 0.3787: : 458iter [00:43,  9.98iter/s]
Best score: 0.3787: : 459iter [00:43, 10.46iter/s]
Best score: 0.3787: : 459iter [00:43, 10.46iter/s]
Best score: 0.3787: : 460iter [00:43, 10.46iter/s]
Best score: 0.3787: : 461iter [00:43, 10.72iter/s]
Best score: 0.3787: : 461iter [00:43, 10.72iter/s]
Best score: 0.3787: : 462iter [00:44, 10.72iter/s]
Best score: 0.3787: : 463iter [00:44, 11.08iter/s]
Best score: 0.3787: : 463iter [00:44, 11.08iter/s]
Best score: 0.3787: : 464iter [00:44, 11.08iter/s]
Best score: 0.3787: : 465iter [00:44, 11.37iter/s]
Best score: 0.3787: : 465iter [00:44, 11.37iter/s]
Best score: 0.3787: : 466iter [00:44, 11.37iter/s]
Best score: 0.3787: : 467iter [00:44, 11.56iter/s]
Best score: 0.3787: : 467iter [00:44, 11.56iter/s]
Best score: 0.3787: : 468iter [00:44, 11.56iter/s]
Best score: 0.3787: : 469iter [00:44, 11.70iter/s]
Best score: 0.3787: : 469iter [00:44, 11.70iter/s]
Best score: 0.3787: : 470iter [00:44, 11.70iter/s]
Best score: 0.3787: : 471iter [00:44, 11.62iter/s]
Best score: 0.3787: : 471iter [00:44, 11.62iter/s]
Best score: 0.3787: : 472iter [00:44, 11.62iter/s]
Best score: 0.3787: : 473iter [00:44, 11.75iter/s]
Best score: 0.3787: : 473iter [00:44, 11.75iter/s]
Best score: 0.3787: : 474iter [00:45, 11.75iter/s]
Best score: 0.3787: : 475iter [00:45, 11.84iter/s]
Best score: 0.3787: : 475iter [00:45, 11.84iter/s]
Best score: 0.3787: : 476iter [00:45, 11.84iter/s]
Best score: 0.3787: : 477iter [00:45, 11.89iter/s]
Best score: 0.3787: : 477iter [00:45, 11.89iter/s]
Best score: 0.3787: : 478iter [00:45, 11.89iter/s]
Best score: 0.3787: : 479iter [00:45, 11.81iter/s]
Best score: 0.3630: : 479iter [00:45, 11.81iter/s]
Best score: 0.3630: : 480iter [00:45, 11.81iter/s]
Best score: 0.3630: : 481iter [00:45, 11.66iter/s]
Best score: 0.3630: : 481iter [00:45, 11.66iter/s]
Best score: 0.3630: : 482iter [00:45, 11.66iter/s]
Best score: 0.3630: : 483iter [00:45, 11.77iter/s]
Best score: 0.3630: : 483iter [00:45, 11.77iter/s]
Best score: 0.3630: : 484iter [00:45, 11.77iter/s]
Best score: 0.3630: : 485iter [00:45, 11.84iter/s]
Best score: 0.3630: : 485iter [00:45, 11.84iter/s]
Best score: 0.3630: : 486iter [00:46, 11.84iter/s]
Best score: 0.3630: : 487iter [00:46, 11.91iter/s]
Best score: 0.3630: : 487iter [00:46, 11.91iter/s]
Best score: 0.3630: : 488iter [00:46, 11.91iter/s]
Best score: 0.3630: : 489iter [00:46, 11.95iter/s]
Best score: 0.3505: : 489iter [00:46, 11.95iter/s]
Best score: 0.3505: : 490iter [00:46, 11.95iter/s]
Best score: 0.3505: : 491iter [00:46, 11.80iter/s]
Best score: 0.3505: : 491iter [00:46, 11.80iter/s]
Best score: 0.3505: : 492iter [00:46, 11.80iter/s]
Best score: 0.3505: : 493iter [00:46, 11.87iter/s]
Best score: 0.3505: : 493iter [00:46, 11.87iter/s]
Best score: 0.3505: : 494iter [00:46, 11.87iter/s]
Best score: 0.3505: : 495iter [00:46, 11.89iter/s]
Best score: 0.3505: : 495iter [00:46, 11.89iter/s]
Best score: 0.3505: : 496iter [00:46, 11.89iter/s]
Best score: 0.3505: : 497iter [00:46, 11.95iter/s]
Best score: 0.3505: : 497iter [00:46, 11.95iter/s]
Best score: 0.3505: : 498iter [00:47, 11.95iter/s]
Best score: 0.3505: : 499iter [00:47, 11.95iter/s]
[ITER 500] Best: 0.3427
[PARAMS] Current best parameters:
  fx: 531.1689
  fy: 532.0068
  px: 990.8672
  py: 733.2570
  k1: -0.03846396
  k2: 0.06169809
  k3: -0.03704131
  k4: 0.00717752
  p1: -0.00181785
  p2: 0.00250196
  p3: 0.01097580
  p4: -0.00671664
  s1: -0.0216
  s2: 0.0082
  s3: -0.0153
  s4: 0.0067
  tilt_x: -0.0294
  tilt_y: 0.0237
  scale: 3.0187
  rotation: 0.1206

Best score: 0.3427: : 499iter [00:47, 11.95iter/s]
Best score: 0.3427: : 500iter [00:47, 11.95iter/s]
Best score: 0.3427: : 501iter [00:47,  7.71iter/s]
Best score: 0.3427: : 501iter [00:47,  7.71iter/s]
Best score: 0.3427: : 502iter [00:47,  7.71iter/s]
Best score: 0.3427: : 503iter [00:47,  8.64iter/s]
Best score: 0.3427: : 503iter [00:47,  8.64iter/s]
Best score: 0.3427: : 504iter [00:47,  8.64iter/s]
Best score: 0.3427: : 505iter [00:47,  9.42iter/s]
Best score: 0.3427: : 505iter [00:47,  9.42iter/s]
Best score: 0.3427: : 506iter [00:48,  9.42iter/s]
Best score: 0.3427: : 507iter [00:48, 10.08iter/s]
Best score: 0.3427: : 507iter [00:48, 10.08iter/s]
Best score: 0.3427: : 508iter [00:48, 10.08iter/s]
Best score: 0.3427: : 509iter [00:48, 10.56iter/s]
Best score: 0.3393: : 509iter [00:48, 10.56iter/s]
Best score: 0.3393: : 510iter [00:48, 10.56iter/s]
Best score: 0.3393: : 511iter [00:48, 10.77iter/s]
Best score: 0.3393: : 511iter [00:48, 10.77iter/s]
Best score: 0.3393: : 512iter [00:48, 10.77iter/s]
Best score: 0.3393: : 513iter [00:48, 11.06iter/s]
Best score: 0.3393: : 513iter [00:48, 11.06iter/s]
Best score: 0.3393: : 514iter [00:48, 11.06iter/s]
Best score: 0.3393: : 515iter [00:48, 11.32iter/s]
Best score: 0.3393: : 515iter [00:48, 11.32iter/s]
Best score: 0.3393: : 516iter [00:48, 11.32iter/s]
Best score: 0.3393: : 517iter [00:48, 11.55iter/s]
Best score: 0.3393: : 517iter [00:48, 11.55iter/s]
Best score: 0.3393: : 518iter [00:49, 11.55iter/s]
Best score: 0.3393: : 519iter [00:49, 11.69iter/s]
Best score: 0.3393: : 519iter [00:49, 11.69iter/s]
Best score: 0.3393: : 520iter [00:49, 11.69iter/s]
Best score: 0.3393: : 521iter [00:49, 11.60iter/s]
Best score: 0.3393: : 521iter [00:49, 11.60iter/s]
Best score: 0.3393: : 522iter [00:49, 11.60iter/s]
Best score: 0.3393: : 523iter [00:49, 11.74iter/s]
Best score: 0.3393: : 523iter [00:49, 11.74iter/s]
Best score: 0.3393: : 524iter [00:49, 11.74iter/s]
Best score: 0.3393: : 525iter [00:49, 11.78iter/s]
Best score: 0.3393: : 525iter [00:49, 11.78iter/s]
Best score: 0.3393: : 526iter [00:49, 11.78iter/s]
Best score: 0.3393: : 527iter [00:49, 11.84iter/s]
Best score: 0.3393: : 527iter [00:49, 11.84iter/s]
Best score: 0.3393: : 528iter [00:49, 11.84iter/s]
Best score: 0.3393: : 529iter [00:49, 11.91iter/s]
Best score: 0.3393: : 529iter [00:49, 11.91iter/s]
Best score: 0.3393: : 530iter [00:50, 11.91iter/s]
Best score: 0.3393: : 531iter [00:50, 11.76iter/s]
Best score: 0.3393: : 531iter [00:50, 11.76iter/s]
Best score: 0.3393: : 532iter [00:50, 11.76iter/s]
Best score: 0.3393: : 533iter [00:50, 11.85iter/s]
Best score: 0.3393: : 533iter [00:50, 11.85iter/s]
Best score: 0.3393: : 534iter [00:50, 11.85iter/s]
Best score: 0.3393: : 535iter [00:50, 11.93iter/s]
Best score: 0.3393: : 535iter [00:50, 11.93iter/s]
Best score: 0.3393: : 536iter [00:50, 11.93iter/s]
Best score: 0.3393: : 537iter [00:50, 11.97iter/s]
Best score: 0.3393: : 537iter [00:50, 11.97iter/s]
Best score: 0.3393: : 538iter [00:50, 11.97iter/s]
Best score: 0.3393: : 539iter [00:50, 11.99iter/s]
Best score: 0.3379: : 539iter [00:50, 11.99iter/s]
Best score: 0.3379: : 540iter [00:50, 11.99iter/s]
Best score: 0.3379: : 541iter [00:50, 11.81iter/s]
Best score: 0.3379: : 541iter [00:50, 11.81iter/s]
Best score: 0.3379: : 542iter [00:51, 11.81iter/s]
Best score: 0.3379: : 543iter [00:51, 11.89iter/s]
Best score: 0.3379: : 543iter [00:51, 11.89iter/s]
Best score: 0.3379: : 544iter [00:51, 11.89iter/s]
Best score: 0.3379: : 545iter [00:51, 11.95iter/s]
Best score: 0.3379: : 545iter [00:51, 11.95iter/s]
Best score: 0.3379: : 546iter [00:51, 11.95iter/s]
Best score: 0.3379: : 547iter [00:51, 11.94iter/s]
Best score: 0.3379: : 547iter [00:51, 11.94iter/s]
Best score: 0.3379: : 548iter [00:51, 11.94iter/s]
Best score: 0.3379: : 549iter [00:51, 11.97iter/s]
[ITER 550] Best: 0.3335
[PARAMS] Current best parameters:
  fx: 531.1419
  fy: 531.8857
  px: 993.2671
  py: 732.3348
  k1: -0.02751471
  k2: 0.04123188
  k3: -0.02338951
  k4: 0.00404872
  p1: -0.00006645
  p2: 0.00384391
  p3: 0.01374648
  p4: -0.00599050
  s1: -0.0221
  s2: 0.0065
  s3: -0.0193
  s4: 0.0052
  tilt_x: -0.0374
  tilt_y: 0.0149
  scale: 3.0124
  rotation: 0.1746

Best score: 0.3335: : 549iter [00:51, 11.97iter/s]
Best score: 0.3335: : 550iter [00:52, 11.97iter/s]
Best score: 0.3335: : 551iter [00:52,  7.71iter/s]
Best score: 0.3335: : 551iter [00:52,  7.71iter/s]
Best score: 0.3335: : 552iter [00:52,  7.71iter/s]
Best score: 0.3335: : 553iter [00:52,  8.65iter/s]
Best score: 0.3335: : 553iter [00:52,  8.65iter/s]
Best score: 0.3335: : 554iter [00:52,  8.65iter/s]
Best score: 0.3335: : 555iter [00:52,  9.44iter/s]
Best score: 0.3335: : 555iter [00:52,  9.44iter/s]
Best score: 0.3335: : 556iter [00:52,  9.44iter/s]
Best score: 0.3335: : 557iter [00:52, 10.09iter/s]
Best score: 0.3335: : 557iter [00:52, 10.09iter/s]
Best score: 0.3335: : 558iter [00:52, 10.09iter/s]
Best score: 0.3335: : 559iter [00:52, 10.57iter/s]
Best score: 0.3254: : 559iter [00:52, 10.57iter/s]
Best score: 0.3254: : 560iter [00:52, 10.57iter/s]
Best score: 0.3254: : 561iter [00:52, 10.80iter/s]
Best score: 0.3254: : 561iter [00:52, 10.80iter/s]
Best score: 0.3254: : 562iter [00:53, 10.80iter/s]
Best score: 0.3254: : 563iter [00:53, 11.16iter/s]
Best score: 0.3254: : 563iter [00:53, 11.16iter/s]
Best score: 0.3254: : 564iter [00:53, 11.16iter/s]
Best score: 0.3254: : 565iter [00:53, 11.36iter/s]
Best score: 0.3254: : 565iter [00:53, 11.36iter/s]
Best score: 0.3254: : 566iter [00:53, 11.36iter/s]
Best score: 0.3254: : 567iter [00:53, 11.53iter/s]
Best score: 0.3254: : 567iter [00:53, 11.53iter/s]
Best score: 0.3254: : 568iter [00:53, 11.53iter/s]
Best score: 0.3254: : 569iter [00:53, 11.69iter/s]
Best score: 0.3254: : 569iter [00:53, 11.69iter/s]
Best score: 0.3254: : 570iter [00:53, 11.69iter/s]
Best score: 0.3254: : 571iter [00:53, 11.58iter/s]
Best score: 0.3254: : 571iter [00:53, 11.58iter/s]
Best score: 0.3254: : 572iter [00:53, 11.58iter/s]
Best score: 0.3254: : 573iter [00:53, 11.63iter/s]
Best score: 0.3254: : 573iter [00:53, 11.63iter/s]
Best score: 0.3254: : 574iter [00:54, 11.63iter/s]
Best score: 0.3254: : 575iter [00:54, 11.71iter/s]
Best score: 0.3254: : 575iter [00:54, 11.71iter/s]
Best score: 0.3254: : 576iter [00:54, 11.71iter/s]
Best score: 0.3254: : 577iter [00:54, 11.81iter/s]
Best score: 0.3254: : 577iter [00:54, 11.81iter/s]
Best score: 0.3254: : 578iter [00:54, 11.81iter/s]
Best score: 0.3254: : 579iter [00:54, 11.87iter/s]
Best score: 0.3254: : 579iter [00:54, 11.87iter/s]
Best score: 0.3254: : 580iter [00:54, 11.87iter/s]
Best score: 0.3254: : 581iter [00:54, 11.70iter/s]
Best score: 0.3254: : 581iter [00:54, 11.70iter/s]
Best score: 0.3254: : 582iter [00:54, 11.70iter/s]
Best score: 0.3254: : 583iter [00:54, 11.81iter/s]
Best score: 0.3254: : 583iter [00:54, 11.81iter/s]
Best score: 0.3254: : 584iter [00:54, 11.81iter/s]
Best score: 0.3254: : 585iter [00:54, 11.86iter/s]
Best score: 0.3254: : 585iter [00:54, 11.86iter/s]
Best score: 0.3254: : 586iter [00:55, 11.86iter/s]
Best score: 0.3254: : 587iter [00:55, 11.88iter/s]
Best score: 0.3254: : 587iter [00:55, 11.88iter/s]
Best score: 0.3254: : 588iter [00:55, 11.88iter/s]
Best score: 0.3254: : 589iter [00:55, 11.94iter/s]
Best score: 0.3254: : 589iter [00:55, 11.94iter/s]
Best score: 0.3254: : 590iter [00:55, 11.94iter/s]
Best score: 0.3254: : 591iter [00:55, 11.77iter/s]
Best score: 0.3254: : 591iter [00:55, 11.77iter/s]
Best score: 0.3254: : 592iter [00:55, 11.77iter/s]
Best score: 0.3254: : 593iter [00:55, 11.82iter/s]
Best score: 0.3254: : 593iter [00:55, 11.82iter/s]
Best score: 0.3254: : 594iter [00:55, 11.82iter/s]
Best score: 0.3254: : 595iter [00:55, 11.88iter/s]
Best score: 0.3254: : 595iter [00:55, 11.88iter/s]
Best score: 0.3254: : 596iter [00:55, 11.88iter/s]
Best score: 0.3254: : 597iter [00:55, 11.94iter/s]
Best score: 0.3254: : 597iter [00:55, 11.94iter/s]
Best score: 0.3254: : 598iter [00:56, 11.94iter/s]
Best score: 0.3254: : 599iter [00:56, 11.94iter/s]
[ITER 600] Best: 0.3247
[PARAMS] Current best parameters:
  fx: 536.1087
  fy: 536.8867
  px: 992.8142
  py: 734.3339
  k1: -0.02603001
  k2: 0.03413659
  k3: -0.02120929
  k4: 0.00409707
  p1: 0.00439353
  p2: 0.00590069
  p3: 0.00755914
  p4: -0.00807565
  s1: -0.0188
  s2: 0.0089
  s3: -0.0152
  s4: 0.0067
  tilt_x: -0.0370
  tilt_y: 0.0212
  scale: 3.0038
  rotation: 0.1423

Best score: 0.3247: : 599iter [00:56, 11.94iter/s]
Best score: 0.3247: : 600iter [00:56, 11.94iter/s]
Best score: 0.3247: : 601iter [00:56,  7.69iter/s]
Best score: 0.3247: : 601iter [00:56,  7.69iter/s]
Best score: 0.3247: : 602iter [00:56,  7.69iter/s]
Best score: 0.3247: : 603iter [00:56,  8.63iter/s]
Best score: 0.3247: : 603iter [00:56,  8.63iter/s]
Best score: 0.3247: : 604iter [00:56,  8.63iter/s]
Best score: 0.3247: : 605iter [00:56,  9.42iter/s]
Best score: 0.3247: : 605iter [00:56,  9.42iter/s]
Best score: 0.3247: : 606iter [00:57,  9.42iter/s]
Best score: 0.3247: : 607iter [00:57, 10.08iter/s]
Best score: 0.3247: : 607iter [00:57, 10.08iter/s]
Best score: 0.3247: : 608iter [00:57, 10.08iter/s]
Best score: 0.3247: : 609iter [00:57, 10.61iter/s]
Best score: 0.3247: : 609iter [00:57, 10.61iter/s]
Best score: 0.3247: : 610iter [00:57, 10.61iter/s]
Best score: 0.3247: : 611iter [00:57, 10.84iter/s]
Best score: 0.3247: : 611iter [00:57, 10.84iter/s]
Best score: 0.3247: : 612iter [00:57, 10.84iter/s]
Best score: 0.3247: : 613iter [00:57, 11.20iter/s]
Best score: 0.3247: : 613iter [00:57, 11.20iter/s]
Best score: 0.3247: : 614iter [00:57, 11.20iter/s]
Best score: 0.3247: : 615iter [00:57, 11.45iter/s]
Best score: 0.3247: : 615iter [00:57, 11.45iter/s]
Best score: 0.3247: : 616iter [00:57, 11.45iter/s]
Best score: 0.3247: : 617iter [00:57, 11.64iter/s]
Best score: 0.3247: : 617iter [00:57, 11.64iter/s]
Best score: 0.3247: : 618iter [00:58, 11.64iter/s]
Best score: 0.3247: : 619iter [00:58, 11.77iter/s]
Best score: 0.3247: : 619iter [00:58, 11.77iter/s]
Best score: 0.3247: : 620iter [00:58, 11.77iter/s]
Best score: 0.3247: : 621iter [00:58, 11.67iter/s]
Best score: 0.3247: : 621iter [00:58, 11.67iter/s]
Best score: 0.3247: : 622iter [00:58, 11.67iter/s]
Best score: 0.3247: : 623iter [00:58, 11.74iter/s]
Best score: 0.3247: : 623iter [00:58, 11.74iter/s]
Best score: 0.3247: : 624iter [00:58, 11.74iter/s]
Best score: 0.3247: : 625iter [00:58, 11.74iter/s]
Best score: 0.3247: : 625iter [00:58, 11.74iter/s]
Best score: 0.3247: : 626iter [00:58, 11.74iter/s]
Best score: 0.3247: : 627iter [00:58, 11.81iter/s]
Best score: 0.3247: : 627iter [00:58, 11.81iter/s]
Best score: 0.3247: : 628iter [00:58, 11.81iter/s]
Best score: 0.3247: : 629iter [00:58, 11.89iter/s]
Best score: 0.3194: : 629iter [00:58, 11.89iter/s]
Best score: 0.3194: : 630iter [00:59, 11.89iter/s]
Best score: 0.3194: : 631iter [00:59, 11.74iter/s]
Best score: 0.3194: : 631iter [00:59, 11.74iter/s]
Best score: 0.3194: : 632iter [00:59, 11.74iter/s]
Best score: 0.3194: : 633iter [00:59, 11.84iter/s]
Best score: 0.3194: : 633iter [00:59, 11.84iter/s]
Best score: 0.3194: : 634iter [00:59, 11.84iter/s]
Best score: 0.3194: : 635iter [00:59, 11.91iter/s]
Best score: 0.3194: : 635iter [00:59, 11.91iter/s]
Best score: 0.3194: : 636iter [00:59, 11.91iter/s]
Best score: 0.3194: : 637iter [00:59, 11.96iter/s]
Best score: 0.3194: : 637iter [00:59, 11.96iter/s]
Best score: 0.3194: : 638iter [00:59, 11.96iter/s]
Best score: 0.3194: : 639iter [00:59, 12.00iter/s]
Best score: 0.3194: : 639iter [00:59, 12.00iter/s]
Best score: 0.3194: : 640iter [00:59, 12.00iter/s]
Best score: 0.3194: : 641iter [00:59, 11.83iter/s]
Best score: 0.3194: : 641iter [00:59, 11.83iter/s]
Best score: 0.3194: : 642iter [01:00, 11.83iter/s]
Best score: 0.3194: : 643iter [01:00, 11.86iter/s]
Best score: 0.3194: : 643iter [01:00, 11.86iter/s]
Best score: 0.3194: : 644iter [01:00, 11.86iter/s]
Best score: 0.3194: : 645iter [01:00, 11.94iter/s]
Best score: 0.3194: : 645iter [01:00, 11.94iter/s]
Best score: 0.3194: : 646iter [01:00, 11.94iter/s]
Best score: 0.3194: : 647iter [01:00, 11.90iter/s]
Best score: 0.3194: : 647iter [01:00, 11.90iter/s]
Best score: 0.3194: : 648iter [01:00, 11.90iter/s]
Best score: 0.3194: : 649iter [01:00, 11.92iter/s]
[ITER 650] Best: 0.3172
[PARAMS] Current best parameters:
  fx: 531.9961
  fy: 532.7733
  px: 991.9150
  py: 735.2879
  k1: -0.01841320
  k2: 0.02653457
  k3: -0.01554660
  k4: 0.00258857
  p1: 0.00240928
  p2: 0.00017025
  p3: 0.00893614
  p4: -0.00545981
  s1: -0.0158
  s2: 0.0069
  s3: -0.0138
  s4: 0.0040
  tilt_x: -0.0281
  tilt_y: 0.0142
  scale: 3.0011
  rotation: 0.1726

Best score: 0.3172: : 649iter [01:00, 11.92iter/s]
Best score: 0.3172: : 650iter [01:01, 11.92iter/s]
Best score: 0.3172: : 651iter [01:01,  7.72iter/s]
Best score: 0.3172: : 651iter [01:01,  7.72iter/s]
Best score: 0.3172: : 652iter [01:01,  7.72iter/s]
Best score: 0.3172: : 653iter [01:01,  8.66iter/s]
Best score: 0.3172: : 653iter [01:01,  8.66iter/s]
Best score: 0.3172: : 654iter [01:01,  8.66iter/s]
Best score: 0.3172: : 655iter [01:01,  9.48iter/s]
Best score: 0.3172: : 655iter [01:01,  9.48iter/s]
Best score: 0.3172: : 656iter [01:01,  9.48iter/s]
Best score: 0.3172: : 657iter [01:01, 10.12iter/s]
Best score: 0.3172: : 657iter [01:01, 10.12iter/s]
Best score: 0.3172: : 658iter [01:01, 10.12iter/s]
Best score: 0.3172: : 659iter [01:01, 10.59iter/s]
Best score: 0.3172: : 659iter [01:01, 10.59iter/s]
Best score: 0.3172: : 660iter [01:01, 10.59iter/s]
Best score: 0.3172: : 661iter [01:01, 10.84iter/s]
Best score: 0.3172: : 661iter [01:01, 10.84iter/s]
Best score: 0.3172: : 662iter [01:02, 10.84iter/s]
Best score: 0.3172: : 663iter [01:02, 11.20iter/s]
Best score: 0.3172: : 663iter [01:02, 11.20iter/s]
Best score: 0.3172: : 664iter [01:02, 11.20iter/s]
Best score: 0.3172: : 665iter [01:02, 11.46iter/s]
Best score: 0.3172: : 665iter [01:02, 11.46iter/s]
Best score: 0.3172: : 666iter [01:02, 11.46iter/s]
Best score: 0.3172: : 667iter [01:02, 11.64iter/s]
Best score: 0.3172: : 667iter [01:02, 11.64iter/s]
Best score: 0.3172: : 668iter [01:02, 11.64iter/s]
Best score: 0.3172: : 669iter [01:02, 11.77iter/s]
Best score: 0.3172: : 669iter [01:02, 11.77iter/s]
Best score: 0.3172: : 670iter [01:02, 11.77iter/s]
Best score: 0.3172: : 671iter [01:02, 11.67iter/s]
Best score: 0.3172: : 671iter [01:02, 11.67iter/s]
Best score: 0.3172: : 672iter [01:02, 11.67iter/s]
Best score: 0.3172: : 673iter [01:02, 11.76iter/s]
Best score: 0.3172: : 673iter [01:02, 11.76iter/s]
Best score: 0.3172: : 674iter [01:03, 11.76iter/s]
Best score: 0.3172: : 675iter [01:03, 11.86iter/s]
Best score: 0.3172: : 675iter [01:03, 11.86iter/s]
Best score: 0.3172: : 676iter [01:03, 11.86iter/s]
Best score: 0.3172: : 677iter [01:03, 11.91iter/s]
Best score: 0.3172: : 677iter [01:03, 11.91iter/s]
Best score: 0.3172: : 678iter [01:03, 11.91iter/s]
Best score: 0.3172: : 679iter [01:03, 11.89iter/s]
Best score: 0.3151: : 679iter [01:03, 11.89iter/s]
Best score: 0.3151: : 680iter [01:03, 11.89iter/s]
Best score: 0.3151: : 681iter [01:03, 11.76iter/s]
Best score: 0.3151: : 681iter [01:03, 11.76iter/s]
Best score: 0.3151: : 682iter [01:03, 11.76iter/s]
Best score: 0.3151: : 683iter [01:03, 11.83iter/s]
Best score: 0.3151: : 683iter [01:03, 11.83iter/s]
Best score: 0.3151: : 684iter [01:03, 11.83iter/s]
Best score: 0.3151: : 685iter [01:03, 11.91iter/s]
Best score: 0.3151: : 685iter [01:03, 11.91iter/s]
Best score: 0.3151: : 686iter [01:04, 11.91iter/s]
Best score: 0.3151: : 687iter [01:04, 11.96iter/s]
Best score: 0.3151: : 687iter [01:04, 11.96iter/s]
Best score: 0.3151: : 688iter [01:04, 11.96iter/s]
Best score: 0.3151: : 689iter [01:04, 11.98iter/s]
Best score: 0.3138: : 689iter [01:04, 11.98iter/s]
Best score: 0.3138: : 690iter [01:04, 11.98iter/s]
Best score: 0.3138: : 691iter [01:04, 11.81iter/s]
Best score: 0.3138: : 691iter [01:04, 11.81iter/s]
Best score: 0.3138: : 692iter [01:04, 11.81iter/s]
Best score: 0.3138: : 693iter [01:04, 11.90iter/s]
Best score: 0.3138: : 693iter [01:04, 11.90iter/s]
Best score: 0.3138: : 694iter [01:04, 11.90iter/s]
Best score: 0.3138: : 695iter [01:04, 11.96iter/s]
Best score: 0.3138: : 695iter [01:04, 11.96iter/s]
Best score: 0.3138: : 696iter [01:04, 11.96iter/s]
Best score: 0.3138: : 697iter [01:04, 11.99iter/s]
Best score: 0.3138: : 697iter [01:04, 11.99iter/s]
Best score: 0.3138: : 698iter [01:05, 11.99iter/s]
Best score: 0.3138: : 699iter [01:05, 12.01iter/s]
[ITER 700] Best: 0.3122
[PARAMS] Current best parameters:
  fx: 527.6454
  fy: 528.3452
  px: 990.6294
  py: 737.4139
  k1: -0.01086048
  k2: 0.02695921
  k3: -0.01914921
  k4: 0.00389173
  p1: 0.00231116
  p2: -0.00120886
  p3: 0.00100494
  p4: -0.00507189
  s1: -0.0079
  s2: 0.0067
  s3: -0.0034
  s4: 0.0040
  tilt_x: -0.0180
  tilt_y: 0.0176
  scale: 2.9934
  rotation: 0.1801

Best score: 0.3122: : 699iter [01:05, 12.01iter/s]
Best score: 0.3122: : 700iter [01:05, 12.01iter/s]
Best score: 0.3122: : 701iter [01:05,  6.69iter/s]
Best score: 0.3122: : 701iter [01:05,  6.69iter/s]
Best score: 0.3122: : 702iter [01:05,  6.69iter/s]
Best score: 0.3122: : 703iter [01:05,  7.72iter/s]
Best score: 0.3122: : 703iter [01:05,  7.72iter/s]
Best score: 0.3122: : 704iter [01:05,  7.72iter/s]
Best score: 0.3122: : 705iter [01:05,  8.66iter/s]
Best score: 0.3122: : 705iter [01:06,  8.66iter/s]
Best score: 0.3122: : 706iter [01:06,  8.66iter/s]
Best score: 0.3122: : 707iter [01:06,  9.47iter/s]
Best score: 0.3122: : 707iter [01:06,  9.47iter/s]
Best score: 0.3122: : 708iter [01:06,  9.47iter/s]
Best score: 0.3122: : 709iter [01:06, 10.09iter/s]
Best score: 0.3122: : 709iter [01:06, 10.09iter/s]
Best score: 0.3122: : 710iter [01:06, 10.09iter/s]
Best score: 0.3122: : 711iter [01:06, 10.44iter/s]
Best score: 0.3122: : 711iter [01:06, 10.44iter/s]
Best score: 0.3122: : 712iter [01:06, 10.44iter/s]
Best score: 0.3122: : 713iter [01:06, 10.84iter/s]
Best score: 0.3122: : 713iter [01:06, 10.84iter/s]
Best score: 0.3122: : 714iter [01:06, 10.84iter/s]
Best score: 0.3122: : 715iter [01:06, 11.18iter/s]
Best score: 0.3122: : 715iter [01:06, 11.18iter/s]
Best score: 0.3122: : 716iter [01:06, 11.18iter/s]
Best score: 0.3122: : 717iter [01:06, 11.44iter/s]
Best score: 0.3122: : 717iter [01:07, 11.44iter/s]
Best score: 0.3122: : 718iter [01:07, 11.44iter/s]
Best score: 0.3122: : 719iter [01:07, 11.64iter/s]
Best score: 0.3122: : 719iter [01:07, 11.64iter/s]
Best score: 0.3122: : 720iter [01:07, 11.64iter/s]
Best score: 0.3122: : 721iter [01:07, 11.58iter/s]
Best score: 0.3122: : 721iter [01:07, 11.58iter/s]
Best score: 0.3122: : 722iter [01:07, 11.58iter/s]
Best score: 0.3122: : 723iter [01:07, 11.73iter/s]
Best score: 0.3122: : 723iter [01:07, 11.73iter/s]
Best score: 0.3122: : 724iter [01:07, 11.73iter/s]
Best score: 0.3122: : 725iter [01:07, 11.81iter/s]
Best score: 0.3122: : 725iter [01:07, 11.81iter/s]
Best score: 0.3122: : 726iter [01:07, 11.81iter/s]
Best score: 0.3122: : 727iter [01:07, 11.88iter/s]
Best score: 0.3122: : 727iter [01:07, 11.88iter/s]
Best score: 0.3122: : 728iter [01:07, 11.88iter/s]
Best score: 0.3122: : 729iter [01:07, 11.95iter/s]
Best score: 0.3122: : 729iter [01:08, 11.95iter/s]
Best score: 0.3122: : 730iter [01:08, 11.95iter/s]
Best score: 0.3122: : 731iter [01:08, 11.79iter/s]
Best score: 0.3122: : 731iter [01:08, 11.79iter/s]
Best score: 0.3122: : 732iter [01:08, 11.79iter/s]
Best score: 0.3122: : 733iter [01:08, 11.88iter/s]
Best score: 0.3122: : 733iter [01:08, 11.88iter/s]
Best score: 0.3122: : 734iter [01:08, 11.88iter/s]
Best score: 0.3122: : 735iter [01:08, 11.93iter/s]
Best score: 0.3122: : 735iter [01:08, 11.93iter/s]
Best score: 0.3122: : 736iter [01:08, 11.93iter/s]
Best score: 0.3122: : 737iter [01:08, 11.99iter/s]
Best score: 0.3122: : 737iter [01:08, 11.99iter/s]
Best score: 0.3122: : 738iter [01:08, 11.99iter/s]
Best score: 0.3122: : 739iter [01:08, 12.02iter/s]
Best score: 0.3122: : 739iter [01:08, 12.02iter/s]
Best score: 0.3122: : 740iter [01:09, 12.02iter/s]
Best score: 0.3122: : 741iter [01:09, 11.83iter/s]
Best score: 0.3122: : 741iter [01:09, 11.83iter/s]
Best score: 0.3122: : 742iter [01:09, 11.83iter/s]
Best score: 0.3122: : 743iter [01:09, 11.91iter/s]
Best score: 0.3122: : 743iter [01:09, 11.91iter/s]
Best score: 0.3122: : 744iter [01:09, 11.91iter/s]
Best score: 0.3122: : 745iter [01:09, 11.97iter/s]
Best score: 0.3122: : 745iter [01:09, 11.97iter/s]
Best score: 0.3122: : 746iter [01:09, 11.97iter/s]
Best score: 0.3122: : 747iter [01:09, 12.02iter/s]
Best score: 0.3122: : 747iter [01:09, 12.02iter/s]
Best score: 0.3122: : 748iter [01:09, 12.02iter/s]
Best score: 0.3122: : 749iter [01:09, 12.01iter/s]
[ITER 750] Best: 0.3114
[PARAMS] Current best parameters:
  fx: 534.1085
  fy: 534.8373
  px: 990.6580
  py: 736.6314
  k1: -0.01651248
  k2: 0.02228926
  k3: -0.01433072
  k4: 0.00262981
  p1: 0.00381326
  p2: -0.00244398
  p3: 0.00614180
  p4: -0.00461160
  s1: -0.0118
  s2: 0.0061
  s3: -0.0110
  s4: 0.0034
  tilt_x: -0.0247
  tilt_y: 0.0150
  scale: 2.9942
  rotation: 0.1742

Best score: 0.3114: : 749iter [01:09, 12.01iter/s]
Best score: 0.3114: : 750iter [01:10, 12.01iter/s]
Best score: 0.3114: : 751iter [01:10,  7.72iter/s]
Best score: 0.3114: : 751iter [01:10,  7.72iter/s]
Best score: 0.3114: : 752iter [01:10,  7.72iter/s]
Best score: 0.3114: : 753iter [01:10,  8.66iter/s]
Best score: 0.3114: : 753iter [01:10,  8.66iter/s]
Best score: 0.3114: : 754iter [01:10,  8.66iter/s]
Best score: 0.3114: : 755iter [01:10,  9.45iter/s]
Best score: 0.3114: : 755iter [01:10,  9.45iter/s]
Best score: 0.3114: : 756iter [01:10,  9.45iter/s]
Best score: 0.3114: : 757iter [01:10, 10.12iter/s]
Best score: 0.3114: : 757iter [01:10, 10.12iter/s]
Best score: 0.3114: : 758iter [01:10, 10.12iter/s]
Best score: 0.3114: : 759iter [01:10, 10.64iter/s]
Best score: 0.3108: : 759iter [01:10, 10.64iter/s]
Best score: 0.3108: : 760iter [01:10, 10.64iter/s]
Best score: 0.3108: : 761iter [01:10, 10.87iter/s]
Best score: 0.3108: : 761iter [01:11, 10.87iter/s]
Best score: 0.3108: : 762iter [01:11, 10.87iter/s]
Best score: 0.3108: : 763iter [01:11, 11.23iter/s]
Best score: 0.3108: : 763iter [01:11, 11.23iter/s]
Best score: 0.3108: : 764iter [01:11, 11.23iter/s]
Best score: 0.3108: : 765iter [01:11, 11.48iter/s]
Best score: 0.3108: : 765iter [01:11, 11.48iter/s]
Best score: 0.3108: : 766iter [01:11, 11.48iter/s]
Best score: 0.3108: : 767iter [01:11, 11.61iter/s]
Best score: 0.3108: : 767iter [01:11, 11.61iter/s]
Best score: 0.3108: : 768iter [01:11, 11.61iter/s]
Best score: 0.3108: : 769iter [01:11, 11.75iter/s]
Best score: 0.3101: : 769iter [01:11, 11.75iter/s]
Best score: 0.3101: : 770iter [01:11, 11.75iter/s]
Best score: 0.3101: : 771iter [01:11, 11.66iter/s]
Best score: 0.3101: : 771iter [01:11, 11.66iter/s]
Best score: 0.3101: : 772iter [01:11, 11.66iter/s]
Best score: 0.3101: : 773iter [01:11, 11.79iter/s]
Best score: 0.3101: : 773iter [01:12, 11.79iter/s]
Best score: 0.3101: : 774iter [01:12, 11.79iter/s]
Best score: 0.3101: : 775iter [01:12, 11.89iter/s]
Best score: 0.3101: : 775iter [01:12, 11.89iter/s]
Best score: 0.3101: : 776iter [01:12, 11.89iter/s]
Best score: 0.3101: : 777iter [01:12, 11.96iter/s]
Best score: 0.3101: : 777iter [01:12, 11.96iter/s]
Best score: 0.3101: : 778iter [01:12, 11.96iter/s]
Best score: 0.3101: : 779iter [01:12, 12.02iter/s]
Best score: 0.3101: : 779iter [01:12, 12.02iter/s]
Best score: 0.3101: : 780iter [01:12, 12.02iter/s]
Best score: 0.3101: : 781iter [01:12, 11.85iter/s]
Best score: 0.3101: : 781iter [01:12, 11.85iter/s]
Best score: 0.3101: : 782iter [01:12, 11.85iter/s]
Best score: 0.3101: : 783iter [01:12, 11.93iter/s]
Best score: 0.3101: : 783iter [01:12, 11.93iter/s]
Best score: 0.3101: : 784iter [01:12, 11.93iter/s]
Best score: 0.3101: : 785iter [01:12, 11.96iter/s]
Best score: 0.3101: : 785iter [01:13, 11.96iter/s]
Best score: 0.3101: : 786iter [01:13, 11.96iter/s]
Best score: 0.3101: : 787iter [01:13, 11.99iter/s]
Best score: 0.3101: : 787iter [01:13, 11.99iter/s]
Best score: 0.3101: : 788iter [01:13, 11.99iter/s]
Best score: 0.3101: : 789iter [01:13, 12.00iter/s]
Best score: 0.3096: : 789iter [01:13, 12.00iter/s]
Best score: 0.3096: : 790iter [01:13, 12.00iter/s]
Best score: 0.3096: : 791iter [01:13, 11.75iter/s]
Best score: 0.3096: : 791iter [01:13, 11.75iter/s]
Best score: 0.3096: : 792iter [01:13, 11.75iter/s]
Best score: 0.3096: : 793iter [01:13, 11.82iter/s]
Best score: 0.3096: : 793iter [01:13, 11.82iter/s]
Best score: 0.3096: : 794iter [01:13, 11.82iter/s]
Best score: 0.3096: : 795iter [01:13, 11.88iter/s]
Best score: 0.3096: : 795iter [01:13, 11.88iter/s]
Best score: 0.3096: : 796iter [01:13, 11.88iter/s]
Best score: 0.3096: : 797iter [01:13, 11.86iter/s]
Best score: 0.3096: : 797iter [01:14, 11.86iter/s]
Best score: 0.3096: : 798iter [01:14, 11.86iter/s]
Best score: 0.3096: : 799iter [01:14, 11.90iter/s]
[ITER 800] Best: 0.3096
[PARAMS] Current best parameters:
  fx: 530.1530
  fy: 530.8877
  px: 989.7637
  py: 736.7536
  k1: -0.01406331
  k2: 0.02650621
  k3: -0.01802712
  k4: 0.00356406
  p1: 0.00042334
  p2: -0.00479042
  p3: 0.00699898
  p4: -0.00268663
  s1: -0.0109
  s2: 0.0042
  s3: -0.0080
  s4: 0.0015
  tilt_x: -0.0172
  tilt_y: 0.0147
  scale: 2.9945
  rotation: 0.1843

Best score: 0.3096: : 799iter [01:14, 11.90iter/s]
Best score: 0.3096: : 800iter [01:14, 11.90iter/s]
Best score: 0.3096: : 801iter [01:14,  7.71iter/s]
Best score: 0.3096: : 801iter [01:14,  7.71iter/s]
Best score: 0.3096: : 802iter [01:14,  7.71iter/s]
Best score: 0.3096: : 803iter [01:14,  8.65iter/s]
Best score: 0.3096: : 803iter [01:14,  8.65iter/s]
Best score: 0.3096: : 804iter [01:14,  8.65iter/s]
Best score: 0.3096: : 805iter [01:14,  9.45iter/s]
Best score: 0.3096: : 805iter [01:15,  9.45iter/s]
Best score: 0.3096: : 806iter [01:15,  9.45iter/s]
Best score: 0.3096: : 807iter [01:15, 10.08iter/s]
Best score: 0.3096: : 807iter [01:15, 10.08iter/s]
Best score: 0.3096: : 808iter [01:15, 10.08iter/s]
Best score: 0.3096: : 809iter [01:15, 10.59iter/s]
Best score: 0.3096: : 809iter [01:15, 10.59iter/s]
Best score: 0.3096: : 810iter [01:15, 10.59iter/s]
Best score: 0.3096: : 811iter [01:15, 10.82iter/s]
Best score: 0.3096: : 811iter [01:15, 10.82iter/s]
Best score: 0.3096: : 812iter [01:15, 10.82iter/s]
Best score: 0.3096: : 813iter [01:15, 11.18iter/s]
Best score: 0.3096: : 813iter [01:15, 11.18iter/s]
Best score: 0.3096: : 814iter [01:15, 11.18iter/s]
Best score: 0.3096: : 815iter [01:15, 11.43iter/s]
Best score: 0.3096: : 815iter [01:15, 11.43iter/s]
Best score: 0.3096: : 816iter [01:15, 11.43iter/s]
Best score: 0.3096: : 817iter [01:15, 11.62iter/s]
Best score: 0.3096: : 817iter [01:16, 11.62iter/s]
Best score: 0.3096: : 818iter [01:16, 11.62iter/s]
Best score: 0.3096: : 819iter [01:16, 11.76iter/s]
Best score: 0.3092: : 819iter [01:16, 11.76iter/s]
Best score: 0.3092: : 820iter [01:16, 11.76iter/s]
Best score: 0.3092: : 821iter [01:16, 11.67iter/s]
Best score: 0.3092: : 821iter [01:16, 11.67iter/s]
Best score: 0.3092: : 822iter [01:16, 11.67iter/s]
Best score: 0.3092: : 823iter [01:16, 11.79iter/s]
Best score: 0.3092: : 823iter [01:16, 11.79iter/s]
Best score: 0.3092: : 824iter [01:16, 11.79iter/s]
Best score: 0.3092: : 825iter [01:16, 11.88iter/s]
Best score: 0.3092: : 825iter [01:16, 11.88iter/s]
Best score: 0.3092: : 826iter [01:16, 11.88iter/s]
Best score: 0.3092: : 827iter [01:16, 11.96iter/s]
Best score: 0.3092: : 827iter [01:16, 11.96iter/s]
Best score: 0.3092: : 828iter [01:16, 11.96iter/s]
Best score: 0.3092: : 829iter [01:16, 12.02iter/s]
Best score: 0.3091: : 829iter [01:17, 12.02iter/s]
Best score: 0.3091: : 830iter [01:17, 12.02iter/s]
Best score: 0.3091: : 831iter [01:17, 11.80iter/s]
Best score: 0.3091: : 831iter [01:17, 11.80iter/s]
Best score: 0.3091: : 832iter [01:17, 11.80iter/s]
Best score: 0.3091: : 833iter [01:17, 11.90iter/s]
Best score: 0.3091: : 833iter [01:17, 11.90iter/s]
Best score: 0.3091: : 834iter [01:17, 11.90iter/s]
Best score: 0.3091: : 835iter [01:17, 11.97iter/s]
Best score: 0.3091: : 835iter [01:17, 11.97iter/s]
Best score: 0.3091: : 836iter [01:17, 11.97iter/s]
Best score: 0.3091: : 837iter [01:17, 12.02iter/s]
Best score: 0.3091: : 837iter [01:17, 12.02iter/s]
Best score: 0.3091: : 838iter [01:17, 12.02iter/s]
Best score: 0.3091: : 839iter [01:17, 12.05iter/s]
Best score: 0.3079: : 839iter [01:17, 12.05iter/s]
Best score: 0.3079: : 840iter [01:17, 12.05iter/s]
Best score: 0.3079: : 841iter [01:17, 11.86iter/s]
Best score: 0.3079: : 841iter [01:18, 11.86iter/s]
Best score: 0.3079: : 842iter [01:18, 11.86iter/s]
Best score: 0.3079: : 843iter [01:18, 11.94iter/s]
Best score: 0.3079: : 843iter [01:18, 11.94iter/s]
Best score: 0.3079: : 844iter [01:18, 11.94iter/s]
Best score: 0.3079: : 845iter [01:18, 11.99iter/s]
Best score: 0.3079: : 845iter [01:18, 11.99iter/s]
Best score: 0.3079: : 846iter [01:18, 11.99iter/s]
Best score: 0.3079: : 847iter [01:18, 12.03iter/s]
Best score: 0.3079: : 847iter [01:18, 12.03iter/s]
Best score: 0.3079: : 848iter [01:18, 12.03iter/s]
Best score: 0.3079: : 849iter [01:18, 12.06iter/s]
[ITER 850] Best: 0.3065
[PARAMS] Current best parameters:
  fx: 527.4317
  fy: 528.3077
  px: 987.1268
  py: 737.3353
  k1: -0.01041694
  k2: 0.02582432
  k3: -0.01836651
  k4: 0.00373902
  p1: -0.00434784
  p2: -0.01137558
  p3: 0.00874978
  p4: -0.00050234
  s1: -0.0086
  s2: 0.0021
  s3: -0.0046
  s4: -0.0007
  tilt_x: -0.0048
  tilt_y: 0.0139
  scale: 2.9933
  rotation: 0.1951

Best score: 0.3065: : 849iter [01:18, 12.06iter/s]
Best score: 0.3065: : 850iter [01:19, 12.06iter/s]
Best score: 0.3065: : 851iter [01:19,  7.78iter/s]
Best score: 0.3065: : 851iter [01:19,  7.78iter/s]
Best score: 0.3065: : 852iter [01:19,  7.78iter/s]
Best score: 0.3065: : 853iter [01:19,  8.72iter/s]
Best score: 0.3065: : 853iter [01:19,  8.72iter/s]
Best score: 0.3065: : 854iter [01:19,  8.72iter/s]
Best score: 0.3065: : 855iter [01:19,  9.53iter/s]
Best score: 0.3065: : 855iter [01:19,  9.53iter/s]
Best score: 0.3065: : 856iter [01:19,  9.53iter/s]
Best score: 0.3065: : 857iter [01:19, 10.18iter/s]
Best score: 0.3065: : 857iter [01:19, 10.18iter/s]
Best score: 0.3065: : 858iter [01:19, 10.18iter/s]
Best score: 0.3065: : 859iter [01:19, 10.69iter/s]
Best score: 0.3065: : 859iter [01:19, 10.69iter/s]
Best score: 0.3065: : 860iter [01:19, 10.69iter/s]
Best score: 0.3065: : 861iter [01:19, 10.92iter/s]
Best score: 0.3065: : 861iter [01:20, 10.92iter/s]
Best score: 0.3065: : 862iter [01:20, 10.92iter/s]
Best score: 0.3065: : 863iter [01:20, 11.26iter/s]
Best score: 0.3065: : 863iter [01:20, 11.26iter/s]
Best score: 0.3065: : 864iter [01:20, 11.26iter/s]
Best score: 0.3065: : 865iter [01:20, 11.51iter/s]
Best score: 0.3065: : 865iter [01:20, 11.51iter/s]
Best score: 0.3065: : 866iter [01:20, 11.51iter/s]
Best score: 0.3065: : 867iter [01:20, 11.70iter/s]
Best score: 0.3065: : 867iter [01:20, 11.70iter/s]
Best score: 0.3065: : 868iter [01:20, 11.70iter/s]
Best score: 0.3065: : 869iter [01:20, 11.81iter/s]
Best score: 0.3058: : 869iter [01:20, 11.81iter/s]
Best score: 0.3058: : 870iter [01:20, 11.81iter/s]
Best score: 0.3058: : 871iter [01:20, 11.70iter/s]
Best score: 0.3058: : 871iter [01:20, 11.70iter/s]
Best score: 0.3058: : 872iter [01:20, 11.70iter/s]
Best score: 0.3058: : 873iter [01:20, 11.81iter/s]
Best score: 0.3058: : 873iter [01:21, 11.81iter/s]
Best score: 0.3058: : 874iter [01:21, 11.81iter/s]
Best score: 0.3058: : 875iter [01:21, 11.91iter/s]
Best score: 0.3058: : 875iter [01:21, 11.91iter/s]
Best score: 0.3058: : 876iter [01:21, 11.91iter/s]
Best score: 0.3058: : 877iter [01:21, 11.96iter/s]
Best score: 0.3058: : 877iter [01:21, 11.96iter/s]
Best score: 0.3058: : 878iter [01:21, 11.96iter/s]
Best score: 0.3058: : 879iter [01:21, 12.00iter/s]
Best score: 0.3058: : 879iter [01:21, 12.00iter/s]
Best score: 0.3058: : 880iter [01:21, 12.00iter/s]
Best score: 0.3058: : 881iter [01:21, 11.83iter/s]
Best score: 0.3058: : 881iter [01:21, 11.83iter/s]
Best score: 0.3058: : 882iter [01:21, 11.83iter/s]
Best score: 0.3058: : 883iter [01:21, 11.92iter/s]
Best score: 0.3058: : 883iter [01:21, 11.92iter/s]
Best score: 0.3058: : 884iter [01:21, 11.92iter/s]
Best score: 0.3058: : 885iter [01:21, 11.92iter/s]
Best score: 0.3058: : 885iter [01:22, 11.92iter/s]
Best score: 0.3058: : 886iter [01:22, 11.92iter/s]
Best score: 0.3058: : 887iter [01:22, 11.98iter/s]
Best score: 0.3058: : 887iter [01:22, 11.98iter/s]
Best score: 0.3058: : 888iter [01:22, 11.98iter/s]
Best score: 0.3058: : 889iter [01:22, 12.02iter/s]
Best score: 0.3057: : 889iter [01:22, 12.02iter/s]
Best score: 0.3057: : 890iter [01:22, 12.02iter/s]
Best score: 0.3057: : 891iter [01:22, 11.81iter/s]
Best score: 0.3057: : 891iter [01:22, 11.81iter/s]
Best score: 0.3057: : 892iter [01:22, 11.81iter/s]
Best score: 0.3057: : 893iter [01:22, 11.91iter/s]
Best score: 0.3057: : 893iter [01:22, 11.91iter/s]
Best score: 0.3057: : 894iter [01:22, 11.91iter/s]
Best score: 0.3057: : 895iter [01:22, 11.92iter/s]
Best score: 0.3057: : 895iter [01:22, 11.92iter/s]
Best score: 0.3057: : 896iter [01:22, 11.92iter/s]
Best score: 0.3057: : 897iter [01:22, 11.98iter/s]
Best score: 0.3057: : 897iter [01:23, 11.98iter/s]
Best score: 0.3057: : 898iter [01:23, 11.98iter/s]
Best score: 0.3057: : 899iter [01:23, 12.02iter/s]
[ITER 900] Best: 0.3052
[PARAMS] Current best parameters:
  fx: 523.6029
  fy: 524.5587
  px: 986.8921
  py: 738.1233
  k1: -0.00497812
  k2: 0.02377215
  k3: -0.01746400
  k4: 0.00350774
  p1: -0.00476461
  p2: -0.01374519
  p3: 0.00682394
  p4: -0.00017586
  s1: -0.0050
  s2: 0.0019
  s3: -0.0019
  s4: -0.0007
  tilt_x: -0.0001
  tilt_y: 0.0098
  scale: 2.9919
  rotation: 0.1992

Best score: 0.3052: : 899iter [01:23, 12.02iter/s]
Best score: 0.3052: : 900iter [01:23, 12.02iter/s]
Best score: 0.3052: : 901iter [01:23,  7.73iter/s]
Best score: 0.3052: : 901iter [01:23,  7.73iter/s]
Best score: 0.3052: : 902iter [01:23,  7.73iter/s]
Best score: 0.3052: : 903iter [01:23,  8.66iter/s]
Best score: 0.3052: : 903iter [01:23,  8.66iter/s]
Best score: 0.3052: : 904iter [01:23,  8.66iter/s]
Best score: 0.3052: : 905iter [01:23,  9.47iter/s]
Best score: 0.3052: : 905iter [01:24,  9.47iter/s]
Best score: 0.3052: : 906iter [01:24,  9.47iter/s]
Best score: 0.3052: : 907iter [01:24, 10.06iter/s]
Best score: 0.3052: : 907iter [01:24, 10.06iter/s]
Best score: 0.3052: : 908iter [01:24, 10.06iter/s]
Best score: 0.3052: : 909iter [01:24, 10.54iter/s]
Best score: 0.3051: : 909iter [01:24, 10.54iter/s]
Best score: 0.3051: : 910iter [01:24, 10.54iter/s]
Best score: 0.3051: : 911iter [01:24, 10.75iter/s]
Best score: 0.3051: : 911iter [01:24, 10.75iter/s]
Best score: 0.3051: : 912iter [01:24, 10.75iter/s]
Best score: 0.3051: : 913iter [01:24, 11.13iter/s]
Best score: 0.3051: : 913iter [01:24, 11.13iter/s]
Best score: 0.3051: : 914iter [01:24, 11.13iter/s]
Best score: 0.3051: : 915iter [01:24, 11.41iter/s]
Best score: 0.3051: : 915iter [01:24, 11.41iter/s]
Best score: 0.3051: : 916iter [01:24, 11.41iter/s]
Best score: 0.3051: : 917iter [01:24, 11.59iter/s]
Best score: 0.3051: : 917iter [01:25, 11.59iter/s]
Best score: 0.3051: : 918iter [01:25, 11.59iter/s]
Best score: 0.3051: : 919iter [01:25, 11.74iter/s]
Best score: 0.3050: : 919iter [01:25, 11.74iter/s]
Best score: 0.3050: : 920iter [01:25, 11.74iter/s]
Best score: 0.3050: : 921iter [01:25, 11.66iter/s]
Best score: 0.3050: : 921iter [01:25, 11.66iter/s]
Best score: 0.3050: : 922iter [01:25, 11.66iter/s]
Best score: 0.3050: : 923iter [01:25, 11.80iter/s]
Best score: 0.3050: : 923iter [01:25, 11.80iter/s]
Best score: 0.3050: : 924iter [01:25, 11.80iter/s]
Best score: 0.3050: : 925iter [01:25, 11.90iter/s]
Best score: 0.3050: : 925iter [01:25, 11.90iter/s]
Best score: 0.3050: : 926iter [01:25, 11.90iter/s]
Best score: 0.3050: : 927iter [01:25, 11.97iter/s]
Best score: 0.3050: : 927iter [01:25, 11.97iter/s]
Best score: 0.3050: : 928iter [01:25, 11.97iter/s]
Best score: 0.3050: : 929iter [01:25, 12.03iter/s]
Best score: 0.3050: : 929iter [01:26, 12.03iter/s]
Best score: 0.3050: : 930iter [01:26, 12.03iter/s]
Best score: 0.3050: : 931iter [01:26, 11.87iter/s]
Best score: 0.3050: : 931iter [01:26, 11.87iter/s]
Best score: 0.3050: : 932iter [01:26, 11.87iter/s]
Best score: 0.3050: : 933iter [01:26, 11.91iter/s]
Best score: 0.3050: : 933iter [01:26, 11.91iter/s]
Best score: 0.3050: : 934iter [01:26, 11.91iter/s]
Best score: 0.3050: : 935iter [01:26, 11.98iter/s]
Best score: 0.3050: : 935iter [01:26, 11.98iter/s]
Best score: 0.3050: : 936iter [01:26, 11.98iter/s]
Best score: 0.3050: : 937iter [01:26, 12.02iter/s]
Best score: 0.3050: : 937iter [01:26, 12.02iter/s]
Best score: 0.3050: : 938iter [01:26, 12.02iter/s]
Best score: 0.3050: : 939iter [01:26, 12.04iter/s]
Best score: 0.3048: : 939iter [01:26, 12.04iter/s]
Best score: 0.3048: : 940iter [01:26, 12.04iter/s]
Best score: 0.3048: : 941iter [01:26, 11.86iter/s]
Best score: 0.3048: : 941iter [01:27, 11.86iter/s]
Best score: 0.3048: : 942iter [01:27, 11.86iter/s]
Best score: 0.3048: : 943iter [01:27, 11.95iter/s]
Best score: 0.3048: : 943iter [01:27, 11.95iter/s]
Best score: 0.3048: : 944iter [01:27, 11.95iter/s]
Best score: 0.3048: : 945iter [01:27, 12.02iter/s]
Best score: 0.3048: : 945iter [01:27, 12.02iter/s]
Best score: 0.3048: : 946iter [01:27, 12.02iter/s]
Best score: 0.3048: : 947iter [01:27, 12.06iter/s]
Best score: 0.3048: : 947iter [01:27, 12.06iter/s]
Best score: 0.3048: : 948iter [01:27, 12.06iter/s]
Best score: 0.3048: : 949iter [01:27, 11.98iter/s]
[ITER 950] Best: 0.3048
[PARAMS] Current best parameters:
  fx: 523.5104
  fy: 524.4626
  px: 986.7993
  py: 738.1395
  k1: -0.00517317
  k2: 0.02437936
  k3: -0.01800695
  k4: 0.00367408
  p1: -0.00568066
  p2: -0.01405142
  p3: 0.00723048
  p4: -0.00021695
  s1: -0.0050
  s2: 0.0019
  s3: -0.0011
  s4: -0.0009
  tilt_x: 0.0020
  tilt_y: 0.0097
  scale: 2.9924
  rotation: 0.1960

Best score: 0.3048: : 949iter [01:27, 11.98iter/s]
Best score: 0.3048: : 950iter [01:28, 11.98iter/s]
Best score: 0.3048: : 951iter [01:28,  7.69iter/s]
Best score: 0.3048: : 951iter [01:28,  7.69iter/s]
Best score: 0.3048: : 952iter [01:28,  7.69iter/s]
Best score: 0.3048: : 953iter [01:28,  8.64iter/s]
Best score: 0.3048: : 953iter [01:28,  8.64iter/s]
Best score: 0.3048: : 954iter [01:28,  8.64iter/s]
Best score: 0.3048: : 955iter [01:28,  9.40iter/s]
Best score: 0.3048: : 955iter [01:28,  9.40iter/s]
Best score: 0.3048: : 956iter [01:28,  9.40iter/s]
Best score: 0.3048: : 957iter [01:28, 10.04iter/s]
Best score: 0.3048: : 957iter [01:28, 10.04iter/s]
Best score: 0.3048: : 958iter [01:28, 10.04iter/s]
Best score: 0.3048: : 959iter [01:28, 10.53iter/s]
Best score: 0.3046: : 959iter [01:28, 10.53iter/s]
Best score: 0.3046: : 960iter [01:28, 10.53iter/s]
Best score: 0.3046: : 961iter [01:28, 10.72iter/s]
Best score: 0.3046: : 961iter [01:29, 10.72iter/s]
Best score: 0.3046: : 962iter [01:29, 10.72iter/s]
Best score: 0.3046: : 963iter [01:29, 11.11iter/s]
Best score: 0.3046: : 963iter [01:29, 11.11iter/s]
Best score: 0.3046: : 964iter [01:29, 11.11iter/s]
Best score: 0.3046: : 965iter [01:29, 11.40iter/s]
Best score: 0.3046: : 965iter [01:29, 11.40iter/s]
Best score: 0.3046: : 966iter [01:29, 11.40iter/s]
Best score: 0.3046: : 967iter [01:29, 11.51iter/s]
Best score: 0.3046: : 967iter [01:29, 11.51iter/s]
Best score: 0.3046: : 968iter [01:29, 11.51iter/s]
Best score: 0.3046: : 969iter [01:29, 11.59iter/s]
Best score: 0.3046: : 969iter [01:29, 11.59iter/s]
Best score: 0.3046: : 970iter [01:29, 11.59iter/s]
Best score: 0.3046: : 971iter [01:29, 11.47iter/s]
Best score: 0.3046: : 971iter [01:29, 11.47iter/s]
Best score: 0.3046: : 972iter [01:29, 11.47iter/s]
Best score: 0.3046: : 973iter [01:29, 11.65iter/s]
Best score: 0.3046: : 973iter [01:30, 11.65iter/s]
Best score: 0.3046: : 974iter [01:30, 11.65iter/s]
Best score: 0.3046: : 975iter [01:30, 11.70iter/s]
Best score: 0.3046: : 975iter [01:30, 11.70iter/s]
Best score: 0.3046: : 976iter [01:30, 11.70iter/s]
Best score: 0.3046: : 977iter [01:30, 11.73iter/s]
Best score: 0.3046: : 977iter [01:30, 11.73iter/s]
Best score: 0.3046: : 978iter [01:30, 11.73iter/s]
Best score: 0.3046: : 979iter [01:30, 11.81iter/s]
Best score: 0.3046: : 979iter [01:30, 11.81iter/s]
Best score: 0.3046: : 980iter [01:30, 11.81iter/s]
Best score: 0.3046: : 981iter [01:30, 11.71iter/s]
Best score: 0.3046: : 981iter [01:30, 11.71iter/s]
Best score: 0.3046: : 982iter [01:30, 11.71iter/s]
Best score: 0.3046: : 983iter [01:30, 11.84iter/s]
Best score: 0.3046: : 983iter [01:30, 11.84iter/s]
Best score: 0.3046: : 984iter [01:30, 11.84iter/s]
Best score: 0.3046: : 985iter [01:30, 11.89iter/s]
Best score: 0.3046: : 985iter [01:31, 11.89iter/s]
Best score: 0.3046: : 986iter [01:31, 11.89iter/s]
Best score: 0.3046: : 987iter [01:31, 11.96iter/s]
Best score: 0.3046: : 987iter [01:31, 11.96iter/s]
Best score: 0.3046: : 988iter [01:31, 11.96iter/s]
Best score: 0.3046: : 989iter [01:31, 12.01iter/s]
Best score: 0.3046: : 989iter [01:31, 12.01iter/s]
Best score: 0.3046: : 990iter [01:31, 12.01iter/s]
Best score: 0.3046: : 991iter [01:31, 11.83iter/s]
Best score: 0.3046: : 991iter [01:31, 11.83iter/s]
Best score: 0.3046: : 992iter [01:31, 11.83iter/s]
Best score: 0.3046: : 993iter [01:31, 11.93iter/s]
Best score: 0.3046: : 993iter [01:31, 11.93iter/s]
Best score: 0.3046: : 994iter [01:31, 11.93iter/s]
Best score: 0.3046: : 995iter [01:31, 12.00iter/s]
Best score: 0.3046: : 995iter [01:31, 12.00iter/s]
Best score: 0.3046: : 996iter [01:31, 12.00iter/s]
Best score: 0.3046: : 997iter [01:31, 12.04iter/s]
Best score: 0.3046: : 997iter [01:32, 12.04iter/s]
Best score: 0.3046: : 998iter [01:32, 12.04iter/s]
Best score: 0.3046: : 999iter [01:32, 12.08iter/s]
[ITER 1000] Best: 0.3045
[PARAMS] Current best parameters:
  fx: 522.8554
  fy: 523.8066
  px: 986.7230
  py: 738.0531
  k1: -0.00528732
  k2: 0.02553137
  k3: -0.01858987
  k4: 0.00375224
  p1: -0.00671642
  p2: -0.01482840
  p3: 0.00858386
  p4: 0.00008949
  s1: -0.0058
  s2: 0.0017
  s3: -0.0014
  s4: -0.0013
  tilt_x: 0.0036
  tilt_y: 0.0084
  scale: 2.9931
  rotation: 0.1978

Best score: 0.3045: : 999iter [01:32, 12.08iter/s]
Best score: 0.3045: : 1000iter [01:32, 12.08iter/s]
Best score: 0.3045: : 1001iter [01:32,  7.75iter/s]
Best score: 0.3045: : 1001iter [01:32,  7.75iter/s]
Best score: 0.3045: : 1002iter [01:32,  7.75iter/s]
Best score: 0.3045: : 1003iter [01:32,  8.69iter/s]
Best score: 0.3045: : 1003iter [01:32,  8.69iter/s]
Best score: 0.3045: : 1004iter [01:32,  8.69iter/s]
Best score: 0.3045: : 1005iter [01:32,  9.47iter/s]
Best score: 0.3045: : 1005iter [01:33,  9.47iter/s]
Best score: 0.3045: : 1006iter [01:33,  9.47iter/s]
Best score: 0.3045: : 1007iter [01:33, 10.09iter/s]
Best score: 0.3045: : 1007iter [01:33, 10.09iter/s]
Best score: 0.3045: : 1008iter [01:33, 10.09iter/s]
Best score: 0.3045: : 1009iter [01:33, 10.58iter/s]
Best score: 0.3045: : 1009iter [01:33, 10.58iter/s]
Best score: 0.3045: : 1010iter [01:33, 10.58iter/s]
Best score: 0.3045: : 1011iter [01:33, 10.75iter/s]
Best score: 0.3045: : 1011iter [01:33, 10.75iter/s]
Best score: 0.3045: : 1012iter [01:33, 10.75iter/s]
Best score: 0.3045: : 1013iter [01:33, 11.12iter/s]
Best score: 0.3045: : 1013iter [01:33, 11.12iter/s]
Best score: 0.3045: : 1014iter [01:33, 11.12iter/s]
Best score: 0.3045: : 1015iter [01:33, 11.36iter/s]
Best score: 0.3045: : 1015iter [01:33, 11.36iter/s]
Best score: 0.3045: : 1016iter [01:33, 11.36iter/s]
Best score: 0.3045: : 1017iter [01:33, 11.56iter/s]
Best score: 0.3045: : 1017iter [01:34, 11.56iter/s]
Best score: 0.3045: : 1018iter [01:34, 11.56iter/s]
Best score: 0.3045: : 1019iter [01:34, 11.74iter/s]
Best score: 0.3045: : 1019iter [01:34, 11.74iter/s]
Best score: 0.3045: : 1020iter [01:34, 11.74iter/s]
Best score: 0.3045: : 1021iter [01:34, 11.67iter/s]
Best score: 0.3045: : 1021iter [01:34, 11.67iter/s]
Best score: 0.3045: : 1022iter [01:34, 11.67iter/s]
Best score: 0.3045: : 1023iter [01:34, 11.82iter/s]
Best score: 0.3045: : 1023iter [01:34, 11.82iter/s]
Best score: 0.3045: : 1024iter [01:34, 11.82iter/s]
Best score: 0.3045: : 1025iter [01:34, 11.87iter/s]
Best score: 0.3045: : 1025iter [01:34, 11.87iter/s]
Best score: 0.3045: : 1026iter [01:34, 11.87iter/s]
Best score: 0.3045: : 1027iter [01:34, 11.95iter/s]
Best score: 0.3045: : 1027iter [01:34, 11.95iter/s]
Best score: 0.3045: : 1028iter [01:34, 11.95iter/s]
Best score: 0.3045: : 1029iter [01:34, 12.01iter/s]
Best score: 0.3045: : 1029iter [01:35, 12.01iter/s]
Best score: 0.3045: : 1030iter [01:35, 12.01iter/s]
Best score: 0.3045: : 1031iter [01:35, 11.86iter/s]
Best score: 0.3045: : 1031iter [01:35, 11.86iter/s]
Best score: 0.3045: : 1032iter [01:35, 11.86iter/s]
Best score: 0.3045: : 1033iter [01:35, 11.96iter/s]
Best score: 0.3045: : 1033iter [01:35, 11.96iter/s]
Best score: 0.3045: : 1034iter [01:35, 11.96iter/s]
Best score: 0.3045: : 1035iter [01:35, 11.91iter/s]
Best score: 0.3045: : 1035iter [01:35, 11.91iter/s]
Best score: 0.3045: : 1036iter [01:35, 11.91iter/s]
Best score: 0.3045: : 1037iter [01:35, 11.93iter/s]
Best score: 0.3045: : 1037iter [01:35, 11.93iter/s]
Best score: 0.3045: : 1038iter [01:35, 11.93iter/s]
Best score: 0.3045: : 1039iter [01:35, 11.95iter/s]
Best score: 0.3045: : 1039iter [01:35, 11.95iter/s]
Best score: 0.3045: : 1040iter [01:35, 11.95iter/s]
Best score: 0.3045: : 1041iter [01:35, 11.76iter/s]
Best score: 0.3045: : 1041iter [01:36, 11.76iter/s]
Best score: 0.3045: : 1042iter [01:36, 11.76iter/s]
Best score: 0.3045: : 1043iter [01:36, 11.86iter/s]
Best score: 0.3045: : 1043iter [01:36, 11.86iter/s]
Best score: 0.3045: : 1044iter [01:36, 11.86iter/s]
Best score: 0.3045: : 1045iter [01:36, 11.90iter/s]
Best score: 0.3045: : 1045iter [01:36, 11.90iter/s]
Best score: 0.3045: : 1046iter [01:36, 11.90iter/s]
Best score: 0.3045: : 1047iter [01:36, 11.95iter/s]
Best score: 0.3045: : 1047iter [01:36, 11.95iter/s]
Best score: 0.3045: : 1048iter [01:36, 11.95iter/s]
Best score: 0.3045: : 1049iter [01:36, 12.00iter/s]
[ITER 1050] Best: 0.3045
[PARAMS] Current best parameters:
  fx: 523.0197
  fy: 523.9684
  px: 986.7687
  py: 738.0480
  k1: -0.00530626
  k2: 0.02534196
  k3: -0.01851017
  k4: 0.00374748
  p1: -0.00636249
  p2: -0.01456581
  p3: 0.00801889
  p4: 0.00007305
  s1: -0.0055
  s2: 0.0017
  s3: -0.0012
  s4: -0.0012
  tilt_x: 0.0029
  tilt_y: 0.0087
  scale: 2.9930
  rotation: 0.1973

Best score: 0.3045: : 1049iter [01:36, 12.00iter/s]
Best score: 0.3045: : 1050iter [01:37, 12.00iter/s]
Best score: 0.3045: : 1051iter [01:37,  7.71iter/s]
Best score: 0.3045: : 1051iter [01:37,  7.71iter/s]
Best score: 0.3045: : 1052iter [01:37,  7.71iter/s]
Best score: 0.3045: : 1053iter [01:37,  8.66iter/s]
Best score: 0.3045: : 1053iter [01:37,  8.66iter/s]
Best score: 0.3045: : 1054iter [01:37,  8.66iter/s]
Best score: 0.3045: : 1055iter [01:37,  9.44iter/s]
Best score: 0.3045: : 1055iter [01:37,  9.44iter/s]
Best score: 0.3045: : 1056iter [01:37,  9.44iter/s]
Best score: 0.3045: : 1057iter [01:37, 10.11iter/s]
Best score: 0.3045: : 1057iter [01:37, 10.11iter/s]
Best score: 0.3045: : 1058iter [01:37, 10.11iter/s]
Best score: 0.3045: : 1059iter [01:37, 10.60iter/s]
Best score: 0.3045: : 1059iter [01:37, 10.60iter/s]
Best score: 0.3045: : 1060iter [01:37, 10.60iter/s]
Best score: 0.3045: : 1061iter [01:37, 10.78iter/s]
Best score: 0.3045: : 1061iter [01:38, 10.78iter/s]
Best score: 0.3045: : 1062iter [01:38, 10.78iter/s]
Best score: 0.3045: : 1063iter [01:38, 11.08iter/s]
Best score: 0.3045: : 1063iter [01:38, 11.08iter/s]
Best score: 0.3045: : 1064iter [01:38, 11.08iter/s]
Best score: 0.3045: : 1065iter [01:38, 11.28iter/s]
Best score: 0.3045: : 1065iter [01:38, 11.28iter/s]
Best score: 0.3045: : 1066iter [01:38, 11.28iter/s]
Best score: 0.3045: : 1067iter [01:38, 11.46iter/s]
Best score: 0.3045: : 1067iter [01:38, 11.46iter/s]
Best score: 0.3045: : 1068iter [01:38, 11.46iter/s]
Best score: 0.3045: : 1069iter [01:38, 11.59iter/s]
Best score: 0.3044: : 1069iter [01:38, 11.59iter/s]
Best score: 0.3044: : 1070iter [01:38, 11.59iter/s]
Best score: 0.3044: : 1071iter [01:38, 11.47iter/s]
Best score: 0.3044: : 1071iter [01:38, 11.47iter/s]
Best score: 0.3044: : 1072iter [01:38, 11.47iter/s]
Best score: 0.3044: : 1073iter [01:38, 11.67iter/s]
Best score: 0.3044: : 1073iter [01:39, 11.67iter/s]
Best score: 0.3044: : 1074iter [01:39, 11.67iter/s]
Best score: 0.3044: : 1075iter [01:39, 11.73iter/s]
Best score: 0.3044: : 1075iter [01:39, 11.73iter/s]
Best score: 0.3044: : 1076iter [01:39, 11.73iter/s]
Best score: 0.3044: : 1077iter [01:39, 11.74iter/s]
Best score: 0.3044: : 1077iter [01:39, 11.74iter/s]
Best score: 0.3044: : 1078iter [01:39, 11.74iter/s]
Best score: 0.3044: : 1079iter [01:39, 11.83iter/s]
Best score: 0.3044: : 1079iter [01:39, 11.83iter/s]
Best score: 0.3044: : 1080iter [01:39, 11.83iter/s]
Best score: 0.3044: : 1081iter [01:39, 11.70iter/s]
Best score: 0.3044: : 1081iter [01:39, 11.70iter/s]
Best score: 0.3044: : 1082iter [01:39, 11.70iter/s]
Best score: 0.3044: : 1083iter [01:39, 11.74iter/s]
Best score: 0.3044: : 1083iter [01:39, 11.74iter/s]
Best score: 0.3044: : 1084iter [01:39, 11.74iter/s]
Best score: 0.3044: : 1085iter [01:39, 11.76iter/s]
Best score: 0.3044: : 1085iter [01:40, 11.76iter/s]
Best score: 0.3044: : 1086iter [01:40, 11.76iter/s]
Best score: 0.3044: : 1087iter [01:40, 11.77iter/s]
Best score: 0.3044: : 1087iter [01:40, 11.77iter/s]
Best score: 0.3044: : 1088iter [01:40, 11.77iter/s]
Best score: 0.3044: : 1089iter [01:40, 11.78iter/s]
Best score: 0.3044: : 1089iter [01:40, 11.78iter/s]
Best score: 0.3044: : 1090iter [01:40, 11.78iter/s]
Best score: 0.3044: : 1091iter [01:40, 11.59iter/s]
Best score: 0.3044: : 1091iter [01:40, 11.59iter/s]
Best score: 0.3044: : 1092iter [01:40, 11.59iter/s]
Best score: 0.3044: : 1093iter [01:40, 11.72iter/s]
Best score: 0.3044: : 1093iter [01:40, 11.72iter/s]
Best score: 0.3044: : 1094iter [01:40, 11.72iter/s]
Best score: 0.3044: : 1095iter [01:40, 11.84iter/s]
Best score: 0.3044: : 1095iter [01:40, 11.84iter/s]
Best score: 0.3044: : 1096iter [01:40, 11.84iter/s]
Best score: 0.3044: : 1097iter [01:40, 11.94iter/s]
Best score: 0.3044: : 1097iter [01:41, 11.94iter/s]
Best score: 0.3044: : 1098iter [01:41, 11.94iter/s]
Best score: 0.3044: : 1099iter [01:41, 12.00iter/s]
[ITER 1100] Best: 0.3044
[PARAMS] Current best parameters:
  fx: 523.0185
  fy: 523.9542
  px: 987.0307
  py: 737.8426
  k1: -0.00438167
  k2: 0.02398177
  k3: -0.01776538
  k4: 0.00360306
  p1: -0.00601829
  p2: -0.01429348
  p3: 0.00746323
  p4: 0.00032987
  s1: -0.0049
  s2: 0.0015
  s3: -0.0013
  s4: -0.0014
  tilt_x: 0.0012
  tilt_y: 0.0080
  scale: 2.9919
  rotation: 0.1959

Best score: 0.3044: : 1099iter [01:41, 12.00iter/s]
Best score: 0.3044: : 1100iter [01:41, 10.83iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.304386 -> 0.304329

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 100,687 → 92,834 within 3500mm ring
  Ring polish did not improve score: 0.304329
  Success: False
  Tangential distortion: p1=-0.006021, p2=-0.014294, p3=0.007460, p4=0.000326
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.3043
[✅] Parameters copied to: /working/MDC050_W019(6)_2025-06-02/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 523.018510131721
    fy: 523.9542100342778
    px: 987.0307119440427
    py: 737.8426042539604
    k1: -0.004378239359027823
    k2: 0.023985081759661644
    k3: -0.01776393110048781
    k4: 0.0036011990663777776
    p1: -0.006020852002707725
    p2: -0.01429376668180324
    p3: 0.0074603711242811795
    p4: 0.00032607019433065793
    scale: 2.9918793539976427
    rotation: 0.19590552359994978
    mmpp: 3.424093595193793
    nmpp: 3424093.595193793

[🔄] Converting 908 frames to PTD, creating debug images for 400 calibration frames...

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📁 Rigs: 100%|██████████| 4/4 [00:09<00:00,  2.38s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:09<00:00,  2.26s/rig]
[✅] Saved PTDs: /working/MDC050_W019(6)_2025-06-02/calibration/debug/4_undistorted/output/ptd

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[✅] Saved PTDs: /working/MDC050_W019(6)_2025-06-02/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:  55%|█████▌    | 1705602/3080448 [00:01<00:01, 954220.72px/s]
📤 Writing LUT:  58%|█████▊    | 1801026/3080448 [00:01<00:01, 950631.00px/s]
📤 Writing LUT:  62%|██████▏   | 1897779/3080448 [00:02<00:01, 955687.80px/s]
📤 Writing LUT:  65%|██████▍   | 1994346/3080448 [00:02<00:01, 958676.88px/s]
📤 Writing LUT:  68%|██████▊   | 2090218/3080448 [00:02<00:01, 955479.19px/s]
📤 Writing LUT:  71%|███████   | 2185771/3080448 [00:02<00:00, 952049.82px/s]
📤 Writing LUT:  74%|███████▍  | 2281336/3080448 [00:02<00:00, 953122.97px/s]
📤 Writing LUT:  77%|███████▋  | 2376653/3080448 [00:02<00:00, 950735.36px/s]
📤 Writing LUT:  80%|████████  | 2473633/3080448 [00:02<00:00, 956429.52px/s]
📤 Writing LUT:  83%|████████▎ | 2569649/3080448 [00:02<00:00, 957542.31px/s]
📤 Writing LUT:  87%|████████▋ | 2667171/3080448 [00:02<00:00, 962833.13px/s]
📤 Writing LUT:  90%|████████▉ | 2763458/3080448 [00:02<00:00, 960266.97px/s]
📤 Writing LUT:  93%|█████████▎| 2862608/3080448 [00:03<00:00, 969608.93px/s]
📤 Writing LUT:  96%|█████████▌| 2959575/3080448 [00:03<00:00, 968781.74px/s]
📤 Writing LUT:  99%|█████████▉| 3056457/3080448 [00:03<00:00, 966282.80px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 952186.82px/s]
[✅] LUT written to: /working/MDC050_W019(6)_2025-06-02/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC050_W019(6)_2025-06-02' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC050_W019(6)_2025-06-02/calibration/MDC050_W019(6)_2025-06-02_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]

   🔥 1000:   0%|          | 0/202 [00:00<?, ?frame/s]

   🔥 1000:   4%|▍         | 9/202 [00:00<00:02, 84.72frame/s]

   🔥 1000:   9%|▉         | 19/202 [00:00<00:02, 88.76frame/s]

   🔥 1000:  14%|█▍        | 29/202 [00:00<00:01, 91.64frame/s]

   🔥 1000:  19%|█▉        | 39/202 [00:00<00:01, 93.18frame/s]

   🔥 1000:  24%|██▍       | 49/202 [00:00<00:01, 94.17frame/s]

   🔥 1000:  29%|██▉       | 59/202 [00:00<00:01, 92.92frame/s]

   🔥 1000:  34%|███▍      | 69/202 [00:00<00:01, 91.41frame/s]

   🔥 1000:  39%|███▉      | 79/202 [00:00<00:01, 90.90frame/s]

   🔥 1000:  44%|████▍     | 89/202 [00:00<00:01, 91.05frame/s]

   🔥 1000:  49%|████▉     | 99/202 [00:01<00:01, 93.19frame/s]

   🔥 1000:  54%|█████▍    | 109/202 [00:01<00:01, 92.49frame/s]

   🔥 1000:  59%|█████▉    | 119/202 [00:01<00:00, 90.70frame/s]

   🔥 1000:  64%|██████▍   | 129/202 [00:01<00:00, 88.72frame/s]

   🔥 1000:  68%|██████▊   | 138/202 [00:01<00:00, 87.71frame/s]

   🔥 1000:  73%|███████▎  | 147/202 [00:01<00:00, 87.56frame/s]

   🔥 1000:  77%|███████▋  | 156/202 [00:01<00:00, 87.03frame/s]

   🔥 1000:  82%|████████▏ | 166/202 [00:01<00:00, 88.52frame/s]

   🔥 1000:  87%|████████▋ | 176/202 [00:01<00:00, 90.31frame/s]

   🔥 1000:  92%|█████████▏| 186/202 [00:02<00:00, 90.46frame/s]

   🔥 1000:  97%|█████████▋| 196/202 [00:02<00:00, 89.65frame/s]

                                                                [✅] 1000: /working/MDC050_W019(6)_2025-06-02/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC050_W019(6)_2025-06-02/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:02<00:08,  2.93s/rig]

   🔥 2000L:   0%|          | 0/222 [00:00<?, ?frame/s]

   🔥 2000L:   4%|▎         | 8/222 [00:00<00:02, 78.43frame/s]

   🔥 2000L:   7%|▋         | 16/222 [00:00<00:02, 78.04frame/s]

   🔥 2000L:  11%|█         | 24/222 [00:00<00:02, 78.07frame/s]

   🔥 2000L:  14%|█▍        | 32/222 [00:00<00:02, 78.81frame/s]

   🔥 2000L:  18%|█▊        | 41/222 [00:00<00:02, 81.10frame/s]

   🔥 2000L:  23%|██▎       | 51/222 [00:00<00:02, 85.41frame/s]

   🔥 2000L:  28%|██▊       | 62/222 [00:00<00:01, 91.51frame/s]

   🔥 2000L:  33%|███▎      | 73/222 [00:00<00:01, 96.48frame/s]

   🔥 2000L:  38%|███▊      | 84/222 [00:00<00:01, 99.05frame/s]

   🔥 2000L:  42%|████▏     | 94/222 [00:01<00:01, 98.44frame/s]

   🔥 2000L:  47%|████▋     | 104/222 [00:01<00:01, 96.89frame/s]

   🔥 2000L:  51%|█████▏    | 114/222 [00:01<00:01, 96.44frame/s]

   🔥 2000L:  56%|█████▌    | 124/222 [00:01<00:01, 96.92frame/s]

   🔥 2000L:  61%|██████    | 135/222 [00:01<00:00, 98.15frame/s]

   🔥 2000L:  66%|██████▌   | 146/222 [00:01<00:00, 99.62frame/s]

   🔥 2000L:  71%|███████   | 157/222 [00:01<00:00, 100.95frame/s]

   🔥 2000L:  76%|███████▌  | 168/222 [00:01<00:00, 98.95frame/s] 

   🔥 2000L:  80%|████████  | 178/222 [00:01<00:00, 95.01frame/s]

   🔥 2000L:  85%|████████▍ | 188/222 [00:02<00:00, 91.36frame/s]

   🔥 2000L:  89%|████████▉ | 198/222 [00:02<00:00, 86.56frame/s]

   🔥 2000L:  93%|█████████▎| 207/222 [00:02<00:00, 83.69frame/s]

   🔥 2000L:  97%|█████████▋| 216/222 [00:02<00:00, 82.11frame/s]

                                                                 [✅] 2000L: /working/MDC050_W019(6)_2025-06-02/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC050_W019(6)_2025-06-02/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:06<00:07,  3.54s/rig]

   🔥 2000R:   0%|          | 0/196 [00:00<?, ?frame/s]

   🔥 2000R:   5%|▍         | 9/196 [00:00<00:02, 81.37frame/s]

   🔥 2000R:   9%|▉         | 18/196 [00:00<00:02, 79.67frame/s]

   🔥 2000R:  14%|█▍        | 27/196 [00:00<00:02, 80.80frame/s]

   🔥 2000R:  18%|█▊        | 36/196 [00:00<00:01, 80.79frame/s]

   🔥 2000R:  23%|██▎       | 45/196 [00:00<00:01, 81.96frame/s]

   🔥 2000R:  28%|██▊       | 54/196 [00:00<00:01, 84.12frame/s]

   🔥 2000R:  33%|███▎      | 65/196 [00:00<00:01, 91.23frame/s]

   🔥 2000R:  39%|███▉      | 76/196 [00:00<00:01, 94.29frame/s]

   🔥 2000R:  44%|████▍     | 86/196 [00:00<00:01, 95.04frame/s]

   🔥 2000R:  49%|████▉     | 96/196 [00:01<00:01, 95.19frame/s]

   🔥 2000R:  54%|█████▍    | 106/196 [00:01<00:00, 96.23frame/s]

   🔥 2000R:  60%|█████▉    | 117/196 [00:01<00:00, 98.06frame/s]

   🔥 2000R:  65%|██████▌   | 128/196 [00:01<00:00, 99.17frame/s]

   🔥 2000R:  71%|███████   | 139/196 [00:01<00:00, 99.04frame/s]

   🔥 2000R:  76%|███████▌  | 149/196 [00:01<00:00, 95.53frame/s]

   🔥 2000R:  81%|████████  | 159/196 [00:01<00:00, 92.52frame/s]

   🔥 2000R:  86%|████████▌ | 169/196 [00:01<00:00, 89.53frame/s]

   🔥 2000R:  91%|█████████ | 178/196 [00:01<00:00, 86.85frame/s]

   🔥 2000R:  95%|█████████▌| 187/196 [00:02<00:00, 85.40frame/s]

   🔥 2000R: 100%|██████████| 196/196 [00:02<00:00, 84.30frame/s]

                                                                 [✅] 2000R: /working/MDC050_W019(6)_2025-06-02/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC050_W019(6)_2025-06-02/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:10<00:03,  3.60s/rig]

   🔥 1500:   0%|          | 0/288 [00:00<?, ?frame/s]

   🔥 1500:   3%|▎         | 8/288 [00:00<00:03, 79.56frame/s]

   🔥 1500:   6%|▌         | 17/288 [00:00<00:03, 82.74frame/s]

   🔥 1500:   9%|▉         | 26/288 [00:00<00:03, 83.07frame/s]

   🔥 1500:  12%|█▏        | 35/288 [00:00<00:03, 83.12frame/s]

   🔥 1500:  15%|█▌        | 44/288 [00:00<00:02, 81.47frame/s]

   🔥 1500:  18%|█▊        | 53/288 [00:00<00:02, 80.34frame/s]

   🔥 1500:  22%|██▏       | 62/288 [00:00<00:02, 78.74frame/s]

   🔥 1500:  24%|██▍       | 70/288 [00:00<00:02, 78.06frame/s]

   🔥 1500:  27%|██▋       | 78/288 [00:00<00:02, 77.50frame/s]

   🔥 1500:  30%|██▉       | 86/288 [00:01<00:02, 77.96frame/s]

   🔥 1500:  33%|███▎      | 94/288 [00:01<00:02, 78.03frame/s]

   🔥 1500:  35%|███▌      | 102/288 [00:01<00:02, 78.41frame/s]

   🔥 1500:  38%|███▊      | 110/288 [00:01<00:02, 78.33frame/s]

   🔥 1500:  41%|████      | 118/288 [00:01<00:02, 78.61frame/s]

   🔥 1500:  44%|████▍     | 127/288 [00:01<00:02, 79.06frame/s]

   🔥 1500:  47%|████▋     | 135/288 [00:01<00:01, 79.03frame/s]

   🔥 1500:  50%|█████     | 144/288 [00:01<00:01, 80.43frame/s]

   🔥 1500:  53%|█████▎    | 153/288 [00:01<00:01, 82.85frame/s]

   🔥 1500:  57%|█████▋    | 163/288 [00:02<00:01, 86.70frame/s]

   🔥 1500:  60%|█████▉    | 172/288 [00:02<00:01, 87.10frame/s]

   🔥 1500:  63%|██████▎   | 181/288 [00:02<00:01, 85.83frame/s]

   🔥 1500:  66%|██████▌   | 190/288 [00:02<00:01, 85.76frame/s]

   🔥 1500:  69%|██████▉   | 199/288 [00:02<00:01, 84.75frame/s]

   🔥 1500:  72%|███████▏  | 208/288 [00:02<00:00, 84.94frame/s]

   🔥 1500:  75%|███████▌  | 217/288 [00:02<00:00, 86.18frame/s]

   🔥 1500:  79%|███████▉  | 227/288 [00:02<00:00, 88.53frame/s]

   🔥 1500:  82%|████████▏ | 237/288 [00:02<00:00, 89.84frame/s]

   🔥 1500:  85%|████████▌ | 246/288 [00:02<00:00, 89.32frame/s]

   🔥 1500:  89%|████████▊ | 255/288 [00:03<00:00, 87.10frame/s]

   🔥 1500:  92%|█████████▏| 264/288 [00:03<00:00, 85.52frame/s]

   🔥 1500:  95%|█████████▍| 273/288 [00:03<00:00, 85.05frame/s]

   🔥 1500:  98%|█████████▊| 282/288 [00:03<00:00, 84.54frame/s]

                                                                [✅] 1500: /working/MDC050_W019(6)_2025-06-02/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC050_W019(6)_2025-06-02/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:15<00:00,  4.09s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:15<00:00,  3.85s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC050_W019(6)_2025-06-02/calibration/debug/5_heatmap
[🏁] Finished processing MDC050_W019(6)_2025-06-02


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