🟢 Starting Calibration Pipeline

=== Processing MDC057_W002(6)_2025-07-24 ===

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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 1109 stationary frames, 225 remain


→ 2000R (225 images) Phase 1:   0%|          | 0/225 [00:00<?, ?it/s]

→ 2000R (225 images) Phase 1:   0%|          | 1/225 [00:00<01:32,  2.42it/s]

→ 2000R (225 images) Phase 1:   1%|          | 2/225 [00:00<00:56,  3.95it/s]

→ 2000R (225 images) Phase 1:  15%|█▍        | 33/225 [00:00<00:03, 58.12it/s]

→ 2000R (225 images) Phase 1:  17%|█▋        | 39/225 [00:00<00:03, 50.66it/s]

→ 2000R (225 images) Phase 1:  24%|██▍       | 55/225 [00:01<00:02, 72.66it/s]

→ 2000R (225 images) Phase 1:  29%|██▉       | 65/225 [00:01<00:02, 70.92it/s]

→ 2000R (225 images) Phase 1:  33%|███▎      | 74/225 [00:01<00:02, 54.38it/s]

→ 2000R (225 images) Phase 1:  40%|████      | 91/225 [00:01<00:01, 76.04it/s]

→ 2000R (225 images) Phase 1:  45%|████▍     | 101/225 [00:01<00:02, 55.00it/s]

→ 2000R (225 images) Phase 1:  53%|█████▎    | 119/225 [00:02<00:01, 76.19it/s]

→ 2000R (225 images) Phase 1:  58%|█████▊    | 130/225 [00:02<00:01, 58.21it/s]

→ 2000R (225 images) Phase 1:  64%|██████▍   | 144/225 [00:02<00:01, 71.45it/s]

→ 2000R (225 images) Phase 1:  72%|███████▏  | 161/225 [00:02<00:00, 83.88it/s]

→ 2000R (225 images) Phase 1:  76%|███████▋  | 172/225 [00:02<00:00, 66.52it/s]

→ 2000R (225 images) Phase 1:  85%|████████▌ | 192/225 [00:02<00:00, 89.47it/s]

→ 2000R (225 images) Phase 1:  91%|█████████ | 204/225 [00:03<00:00, 65.95it/s]

→ 2000R (225 images) Phase 1: 100%|██████████| 225/225 [00:03<00:00, 87.55it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/225 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/225 [00:00<00:24,  8.99it/s]

→ 2000R Phase 2: corners:   4%|▍         | 10/225 [00:00<00:03, 54.25it/s]

→ 2000R Phase 2: corners:  11%|█         | 24/225 [00:00<00:02, 92.08it/s]

→ 2000R Phase 2: corners:  16%|█▋        | 37/225 [00:00<00:01, 106.62it/s]

→ 2000R Phase 2: corners:  22%|██▏       | 50/225 [00:00<00:01, 114.76it/s]

→ 2000R Phase 2: corners:  28%|██▊       | 64/225 [00:00<00:01, 119.01it/s]

→ 2000R Phase 2: corners:  36%|███▌      | 81/225 [00:00<00:01, 134.99it/s]

→ 2000R Phase 2: corners:  45%|████▍     | 101/225 [00:00<00:00, 150.46it/s]

→ 2000R Phase 2: corners:  52%|█████▏    | 117/225 [00:00<00:00, 151.83it/s]

→ 2000R Phase 2: corners:  59%|█████▉    | 133/225 [00:01<00:00, 139.46it/s]

→ 2000R Phase 2: corners:  66%|██████▌   | 148/225 [00:01<00:00, 136.51it/s]

→ 2000R Phase 2: corners:  72%|███████▏  | 162/225 [00:01<00:00, 134.34it/s]

→ 2000R Phase 2: corners:  80%|███████▉  | 179/225 [00:01<00:00, 138.64it/s]

→ 2000R Phase 2: corners:  86%|████████▌ | 193/225 [00:01<00:00, 136.47it/s]

→ 2000R Phase 2: corners:  92%|█████████▏| 207/225 [00:01<00:00, 137.05it/s]

                                                                            [PASS2] Frame 0000229: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000230: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000231: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000232: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000439: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000684: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001149: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000231: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 5 frames fixed, 3 untrusted, 225 total


→ 2000R Phase 3: finalize:   0%|          | 0/225 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   2%|▏         | 5/225 [00:00<00:04, 49.22it/s]

→ 2000R Phase 3: finalize:   5%|▍         | 11/225 [00:00<00:04, 51.23it/s]

→ 2000R Phase 3: finalize:   8%|▊         | 17/225 [00:00<00:04, 51.53it/s]

→ 2000R Phase 3: finalize:  10%|█         | 23/225 [00:00<00:03, 52.28it/s]

→ 2000R Phase 3: finalize:  13%|█▎        | 29/225 [00:00<00:03, 53.02it/s]

→ 2000R Phase 3: finalize:  16%|█▌        | 35/225 [00:00<00:03, 53.93it/s]

→ 2000R Phase 3: finalize:  18%|█▊        | 41/225 [00:00<00:03, 54.08it/s]

→ 2000R Phase 3: finalize:  21%|██        | 47/225 [00:00<00:03, 53.74it/s]

→ 2000R Phase 3: finalize:  24%|██▎       | 53/225 [00:00<00:03, 54.26it/s]

→ 2000R Phase 3: finalize:  26%|██▌       | 59/225 [00:01<00:03, 53.92it/s]

→ 2000R Phase 3: finalize:  29%|██▉       | 65/225 [00:01<00:02, 53.77it/s]

→ 2000R Phase 3: finalize:  32%|███▏      | 71/225 [00:01<00:02, 53.25it/s]

→ 2000R Phase 3: finalize:  34%|███▍      | 77/225 [00:01<00:02, 52.62it/s]

→ 2000R Phase 3: finalize:  37%|███▋      | 83/225 [00:01<00:02, 52.85it/s]

→ 2000R Phase 3: finalize:  40%|███▉      | 89/225 [00:01<00:02, 52.86it/s]

→ 2000R Phase 3: finalize:  42%|████▏     | 95/225 [00:01<00:02, 52.97it/s]

→ 2000R Phase 3: finalize:  45%|████▍     | 101/225 [00:01<00:02, 53.17it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 107/225 [00:02<00:02, 53.19it/s]

→ 2000R Phase 3: finalize:  50%|█████     | 113/225 [00:02<00:02, 52.88it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 119/225 [00:02<00:02, 52.46it/s]

→ 2000R Phase 3: finalize:  56%|█████▌    | 125/225 [00:02<00:01, 52.23it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 131/225 [00:02<00:01, 51.88it/s]

→ 2000R Phase 3: finalize:  61%|██████    | 137/225 [00:02<00:01, 51.66it/s]

→ 2000R Phase 3: finalize:  64%|██████▎   | 143/225 [00:02<00:01, 51.50it/s]

→ 2000R Phase 3: finalize:  66%|██████▌   | 149/225 [00:02<00:01, 51.38it/s]

→ 2000R Phase 3: finalize:  69%|██████▉   | 155/225 [00:02<00:01, 51.33it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 161/225 [00:03<00:01, 51.33it/s]

→ 2000R Phase 3: finalize:  74%|███████▍  | 167/225 [00:03<00:01, 51.24it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 173/225 [00:03<00:01, 51.29it/s]

→ 2000R Phase 3: finalize:  80%|███████▉  | 179/225 [00:03<00:00, 51.23it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 185/225 [00:03<00:00, 51.24it/s]

→ 2000R Phase 3: finalize:  85%|████████▍ | 191/225 [00:03<00:00, 51.21it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 197/225 [00:03<00:00, 51.03it/s]

→ 2000R Phase 3: finalize:  90%|█████████ | 203/225 [00:03<00:00, 51.03it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 209/225 [00:04<00:00, 51.22it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 215/225 [00:04<00:00, 51.36it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 221/225 [00:04<00:00, 51.52it/s]

                                                                            
[TIMING] 2000R — 225 frames
  Phase 1  radial detect   (parallel)  :   3.47s  (15.4 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.70s  (7.6 ms/frame)
  Phase 2b corner fix      (sequential):   0.24s
  Phase 3  finalize        (sequential):   4.31s  (19.2 ms/frame)
    decode + undistort                 :   2.25s  (10.0 ms/frame)
    corner apply + refinement          :   0.99s  (4.4 ms/frame)
    segment                            :   0.87s  (3.9 ms/frame)
    smooth                             :   0.13s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   9.73s


Processing Rigs:  25%|██▌       | 1/4 [00:13<00:41, 13.98s/it][INFO] Filtered 1239 stationary frames, 231 remain


→ 2000L (231 images) Phase 1:   0%|          | 0/231 [00:00<?, ?it/s]

→ 2000L (231 images) Phase 1:   0%|          | 1/231 [00:00<02:39,  1.44it/s]

→ 2000L (231 images) Phase 1:  14%|█▍        | 33/231 [00:01<00:05, 36.47it/s]

→ 2000L (231 images) Phase 1:  28%|██▊       | 65/231 [00:01<00:03, 51.60it/s]

→ 2000L (231 images) Phase 1:  42%|████▏     | 96/231 [00:01<00:01, 82.15it/s]

→ 2000L (231 images) Phase 1:  48%|████▊     | 112/231 [00:02<00:01, 65.40it/s]

→ 2000L (231 images) Phase 1:  56%|█████▌    | 129/231 [00:02<00:01, 58.42it/s]

→ 2000L (231 images) Phase 1:  68%|██████▊   | 156/231 [00:02<00:00, 83.41it/s]

→ 2000L (231 images) Phase 1:  74%|███████▍  | 171/231 [00:02<00:00, 66.42it/s]

→ 2000L (231 images) Phase 1:  84%|████████▎ | 193/231 [00:03<00:00, 64.81it/s]

→ 2000L (231 images) Phase 1:  94%|█████████▍| 217/231 [00:03<00:00, 85.95it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/231 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/231 [00:00<01:11,  3.21it/s]

→ 2000L Phase 2: corners:   6%|▋         | 15/231 [00:00<00:04, 45.61it/s]

→ 2000L Phase 2: corners:  13%|█▎        | 29/231 [00:00<00:02, 73.91it/s]

→ 2000L Phase 2: corners:  18%|█▊        | 41/231 [00:00<00:02, 87.43it/s]

→ 2000L Phase 2: corners:  24%|██▍       | 55/231 [00:00<00:01, 100.95it/s]

→ 2000L Phase 2: corners:  30%|███       | 70/231 [00:00<00:01, 113.71it/s]

→ 2000L Phase 2: corners:  36%|███▌      | 83/231 [00:00<00:01, 113.28it/s]

→ 2000L Phase 2: corners:  42%|████▏     | 96/231 [00:01<00:01, 117.55it/s]

→ 2000L Phase 2: corners:  47%|████▋     | 109/231 [00:01<00:01, 119.04it/s]

→ 2000L Phase 2: corners:  53%|█████▎    | 123/231 [00:01<00:00, 118.90it/s]

→ 2000L Phase 2: corners:  60%|█████▉    | 138/231 [00:01<00:00, 124.37it/s]

→ 2000L Phase 2: corners:  66%|██████▌   | 152/231 [00:01<00:00, 124.42it/s]

→ 2000L Phase 2: corners:  72%|███████▏  | 167/231 [00:01<00:00, 129.33it/s]

→ 2000L Phase 2: corners:  78%|███████▊  | 181/231 [00:01<00:00, 128.76it/s]

→ 2000L Phase 2: corners:  84%|████████▍ | 194/231 [00:01<00:00, 121.18it/s]

→ 2000L Phase 2: corners: 100%|█████████▉| 230/231 [00:01<00:00, 182.75it/s]

                                                                            [PASS2] Frame 0001462: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 1 frames fixed, 0 untrusted, 231 total


→ 2000L Phase 3: finalize:   0%|          | 0/231 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 6/231 [00:00<00:04, 54.96it/s]

→ 2000L Phase 3: finalize:   5%|▌         | 12/231 [00:00<00:03, 57.48it/s]

→ 2000L Phase 3: finalize:   8%|▊         | 18/231 [00:00<00:03, 56.75it/s]

→ 2000L Phase 3: finalize:  10%|█         | 24/231 [00:00<00:03, 56.69it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 30/231 [00:00<00:03, 56.45it/s]

→ 2000L Phase 3: finalize:  16%|█▌        | 36/231 [00:00<00:03, 57.58it/s]

→ 2000L Phase 3: finalize:  18%|█▊        | 42/231 [00:00<00:03, 57.07it/s]

→ 2000L Phase 3: finalize:  21%|██        | 48/231 [00:00<00:03, 56.86it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 54/231 [00:00<00:03, 56.78it/s]

→ 2000L Phase 3: finalize:  26%|██▌       | 60/231 [00:01<00:03, 56.63it/s]

→ 2000L Phase 3: finalize:  29%|██▊       | 66/231 [00:01<00:02, 56.63it/s]

→ 2000L Phase 3: finalize:  31%|███       | 72/231 [00:01<00:02, 56.47it/s]

→ 2000L Phase 3: finalize:  34%|███▍      | 78/231 [00:01<00:02, 54.43it/s]

→ 2000L Phase 3: finalize:  36%|███▋      | 84/231 [00:01<00:02, 53.29it/s]

→ 2000L Phase 3: finalize:  39%|███▉      | 90/231 [00:01<00:02, 52.49it/s]

→ 2000L Phase 3: finalize:  42%|████▏     | 96/231 [00:01<00:02, 51.94it/s]

→ 2000L Phase 3: finalize:  44%|████▍     | 102/231 [00:01<00:02, 51.74it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 108/231 [00:01<00:02, 51.64it/s]

→ 2000L Phase 3: finalize:  49%|████▉     | 114/231 [00:02<00:02, 51.79it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 120/231 [00:02<00:02, 51.96it/s]

→ 2000L Phase 3: finalize:  55%|█████▍    | 126/231 [00:02<00:02, 52.25it/s]

→ 2000L Phase 3: finalize:  57%|█████▋    | 132/231 [00:02<00:01, 52.47it/s]

→ 2000L Phase 3: finalize:  60%|█████▉    | 138/231 [00:02<00:01, 52.77it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 144/231 [00:02<00:01, 52.97it/s]

→ 2000L Phase 3: finalize:  65%|██████▍   | 150/231 [00:02<00:01, 53.05it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 156/231 [00:02<00:01, 53.18it/s]

→ 2000L Phase 3: finalize:  70%|███████   | 162/231 [00:02<00:01, 53.22it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 168/231 [00:03<00:01, 53.36it/s]

→ 2000L Phase 3: finalize:  75%|███████▌  | 174/231 [00:03<00:01, 53.49it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 180/231 [00:03<00:00, 53.51it/s]

→ 2000L Phase 3: finalize:  81%|████████  | 186/231 [00:03<00:00, 53.66it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 192/231 [00:03<00:00, 53.76it/s]

→ 2000L Phase 3: finalize:  86%|████████▌ | 198/231 [00:03<00:00, 53.72it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 204/231 [00:03<00:00, 53.64it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 210/231 [00:03<00:00, 53.49it/s]

→ 2000L Phase 3: finalize:  94%|█████████▎| 216/231 [00:04<00:00, 53.28it/s]

→ 2000L Phase 3: finalize:  96%|█████████▌| 222/231 [00:04<00:00, 52.98it/s]

→ 2000L Phase 3: finalize:  99%|█████████▊| 228/231 [00:04<00:00, 52.62it/s]

                                                                            
[TIMING] 2000L — 231 frames
  Phase 1  radial detect   (parallel)  :   3.65s  (15.8 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.01s  (8.7 ms/frame)
  Phase 2b corner fix      (sequential):   0.10s
  Phase 3  finalize        (sequential):   4.29s  (18.6 ms/frame)
    decode + undistort                 :   2.15s  (9.3 ms/frame)
    corner apply + refinement          :   1.04s  (4.5 ms/frame)
    segment                            :   0.90s  (3.9 ms/frame)
    smooth                             :   0.13s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  10.06s


Processing Rigs:  50%|█████     | 2/4 [00:28<00:28, 14.38s/it][INFO] Filtered 1448 stationary frames, 289 remain


→ 1500 (289 images) Phase 1:   0%|          | 0/289 [00:00<?, ?it/s]

→ 1500 (289 images) Phase 1:   0%|          | 1/289 [00:00<02:44,  1.75it/s]

→ 1500 (289 images) Phase 1:   1%|          | 3/289 [00:00<00:57,  4.97it/s]

→ 1500 (289 images) Phase 1:  11%|█▏        | 33/289 [00:01<00:05, 47.05it/s]

→ 1500 (289 images) Phase 1:  13%|█▎        | 39/289 [00:01<00:05, 45.83it/s]

→ 1500 (289 images) Phase 1:  22%|██▏       | 65/289 [00:01<00:03, 63.47it/s]

→ 1500 (289 images) Phase 1:  25%|██▍       | 72/289 [00:01<00:03, 59.50it/s]

→ 1500 (289 images) Phase 1:  34%|███▎      | 97/289 [00:01<00:02, 68.06it/s]

→ 1500 (289 images) Phase 1:  36%|███▌      | 104/289 [00:02<00:02, 65.66it/s]

→ 1500 (289 images) Phase 1:  45%|████▍     | 129/289 [00:02<00:02, 72.25it/s]

→ 1500 (289 images) Phase 1:  47%|████▋     | 136/289 [00:02<00:02, 68.05it/s]

→ 1500 (289 images) Phase 1:  56%|█████▌    | 161/289 [00:02<00:01, 73.88it/s]

→ 1500 (289 images) Phase 1:  58%|█████▊    | 168/289 [00:02<00:01, 69.32it/s]

→ 1500 (289 images) Phase 1:  67%|██████▋   | 193/289 [00:03<00:01, 75.13it/s]

→ 1500 (289 images) Phase 1:  69%|██████▉   | 200/289 [00:03<00:01, 70.18it/s]

→ 1500 (289 images) Phase 1:  78%|███████▊  | 225/289 [00:03<00:00, 75.52it/s]

→ 1500 (289 images) Phase 1:  81%|████████  | 233/289 [00:03<00:00, 71.88it/s]

→ 1500 (289 images) Phase 1:  89%|████████▉ | 257/289 [00:04<00:00, 75.81it/s]

→ 1500 (289 images) Phase 1:  92%|█████████▏| 265/289 [00:04<00:00, 72.61it/s]

→ 1500 (289 images) Phase 1: 100%|██████████| 289/289 [00:04<00:00, 88.49it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/289 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/289 [00:00<01:22,  3.50it/s]

→ 1500 Phase 2: corners:   3%|▎         | 10/289 [00:00<00:08, 31.08it/s]

→ 1500 Phase 2: corners:   8%|▊         | 22/289 [00:00<00:04, 57.17it/s]

→ 1500 Phase 2: corners:  12%|█▏        | 36/289 [00:00<00:03, 79.75it/s]

→ 1500 Phase 2: corners:  17%|█▋        | 49/289 [00:00<00:02, 91.94it/s]

→ 1500 Phase 2: corners:  22%|██▏       | 64/289 [00:00<00:02, 107.03it/s]

→ 1500 Phase 2: corners:  26%|██▋       | 76/289 [00:00<00:01, 106.82it/s]

→ 1500 Phase 2: corners:  31%|███       | 89/289 [00:01<00:01, 113.15it/s]

→ 1500 Phase 2: corners:  35%|███▌      | 102/289 [00:01<00:01, 116.23it/s]

→ 1500 Phase 2: corners:  40%|███▉      | 115/289 [00:01<00:01, 116.68it/s]

→ 1500 Phase 2: corners:  44%|████▍     | 128/289 [00:01<00:01, 118.33it/s]

→ 1500 Phase 2: corners:  49%|████▉     | 143/289 [00:01<00:01, 126.58it/s]

→ 1500 Phase 2: corners:  54%|█████▍    | 157/289 [00:01<00:01, 129.62it/s]

→ 1500 Phase 2: corners:  59%|█████▉    | 171/289 [00:01<00:00, 126.97it/s]

→ 1500 Phase 2: corners:  64%|██████▍   | 186/289 [00:01<00:00, 132.70it/s]

→ 1500 Phase 2: corners:  70%|██████▉   | 202/289 [00:01<00:00, 139.58it/s]

→ 1500 Phase 2: corners:  75%|███████▌  | 217/289 [00:01<00:00, 141.21it/s]

→ 1500 Phase 2: corners:  81%|████████  | 233/289 [00:02<00:00, 146.18it/s]

→ 1500 Phase 2: corners:  87%|████████▋ | 251/289 [00:02<00:00, 154.82it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 3 untrusted, 289 total


→ 1500 Phase 3: finalize:   0%|          | 0/289 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   2%|▏         | 7/289 [00:00<00:04, 68.97it/s]

→ 1500 Phase 3: finalize:   5%|▍         | 14/289 [00:00<00:04, 65.90it/s]

→ 1500 Phase 3: finalize:   7%|▋         | 21/289 [00:00<00:04, 63.76it/s]

→ 1500 Phase 3: finalize:  10%|▉         | 28/289 [00:00<00:04, 62.79it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 35/289 [00:00<00:04, 63.45it/s]

→ 1500 Phase 3: finalize:  15%|█▍        | 42/289 [00:00<00:03, 63.05it/s]

→ 1500 Phase 3: finalize:  17%|█▋        | 49/289 [00:00<00:03, 62.21it/s]

→ 1500 Phase 3: finalize:  19%|█▉        | 56/289 [00:00<00:03, 61.41it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 63/289 [00:01<00:03, 60.56it/s]

→ 1500 Phase 3: finalize:  24%|██▍       | 70/289 [00:01<00:03, 59.59it/s]

→ 1500 Phase 3: finalize:  26%|██▋       | 76/289 [00:01<00:03, 58.16it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 82/289 [00:01<00:03, 56.41it/s]

→ 1500 Phase 3: finalize:  30%|███       | 88/289 [00:01<00:03, 55.24it/s]

→ 1500 Phase 3: finalize:  33%|███▎      | 94/289 [00:01<00:03, 54.16it/s]

→ 1500 Phase 3: finalize:  35%|███▍      | 100/289 [00:01<00:03, 53.45it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 106/289 [00:01<00:03, 53.44it/s]

→ 1500 Phase 3: finalize:  39%|███▉      | 112/289 [00:01<00:03, 53.69it/s]

→ 1500 Phase 3: finalize:  41%|████      | 118/289 [00:02<00:03, 53.83it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 124/289 [00:02<00:03, 53.93it/s]

→ 1500 Phase 3: finalize:  45%|████▍     | 130/289 [00:02<00:02, 53.85it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 136/289 [00:02<00:02, 53.92it/s]

→ 1500 Phase 3: finalize:  49%|████▉     | 142/289 [00:02<00:02, 53.98it/s]

→ 1500 Phase 3: finalize:  51%|█████     | 148/289 [00:02<00:02, 53.98it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 154/289 [00:02<00:02, 54.06it/s]

→ 1500 Phase 3: finalize:  55%|█████▌    | 160/289 [00:02<00:02, 54.02it/s]

→ 1500 Phase 3: finalize:  57%|█████▋    | 166/289 [00:02<00:02, 54.08it/s]

→ 1500 Phase 3: finalize:  60%|█████▉    | 172/289 [00:03<00:02, 54.14it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 178/289 [00:03<00:02, 54.10it/s]

→ 1500 Phase 3: finalize:  64%|██████▎   | 184/289 [00:03<00:01, 53.97it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 190/289 [00:03<00:01, 54.07it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 196/289 [00:03<00:01, 54.22it/s]

→ 1500 Phase 3: finalize:  70%|██████▉   | 202/289 [00:03<00:01, 54.47it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 208/289 [00:03<00:01, 54.55it/s]

→ 1500 Phase 3: finalize:  74%|███████▍  | 214/289 [00:03<00:01, 54.71it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 220/289 [00:03<00:01, 54.85it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 226/289 [00:04<00:01, 54.94it/s]

→ 1500 Phase 3: finalize:  80%|████████  | 232/289 [00:04<00:01, 55.05it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 238/289 [00:04<00:00, 55.28it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 244/289 [00:04<00:00, 55.37it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 250/289 [00:04<00:00, 55.37it/s]

→ 1500 Phase 3: finalize:  89%|████████▊ | 256/289 [00:04<00:00, 55.47it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 262/289 [00:04<00:00, 55.51it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 268/289 [00:04<00:00, 55.39it/s]

→ 1500 Phase 3: finalize:  95%|█████████▍| 274/289 [00:04<00:00, 55.17it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 280/289 [00:05<00:00, 54.94it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 286/289 [00:05<00:00, 54.98it/s]

                                                                           
[TIMING] 1500 — 289 frames
  Phase 1  radial detect   (parallel)  :   4.48s  (15.5 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.35s  (8.1 ms/frame)
  Phase 2b corner fix      (sequential):   0.06s
  Phase 3  finalize        (sequential):   5.17s  (17.9 ms/frame)
    decode + undistort                 :   2.73s  (9.4 ms/frame)
    corner apply + refinement          :   1.07s  (3.7 ms/frame)
    segment                            :   1.12s  (3.9 ms/frame)
    smooth                             :   0.16s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  12.05s


Processing Rigs:  75%|███████▌  | 3/4 [00:46<00:15, 15.79s/it][INFO] Filtered 967 stationary frames, 201 remain


→ 1000 (201 images) Phase 1:   0%|          | 0/201 [00:00<?, ?it/s]

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→ 1000 (201 images) Phase 1:  19%|█▉        | 39/201 [00:01<00:04, 38.53it/s]

→ 1000 (201 images) Phase 1:  32%|███▏      | 65/201 [00:01<00:02, 59.12it/s]

→ 1000 (201 images) Phase 1:  36%|███▌      | 72/201 [00:01<00:02, 54.91it/s]

→ 1000 (201 images) Phase 1:  48%|████▊     | 97/201 [00:01<00:01, 68.26it/s]

→ 1000 (201 images) Phase 1:  52%|█████▏    | 104/201 [00:02<00:01, 62.59it/s]

→ 1000 (201 images) Phase 1:  63%|██████▎   | 127/201 [00:02<00:00, 90.26it/s]

→ 1000 (201 images) Phase 1:  69%|██████▊   | 138/201 [00:02<00:00, 64.25it/s]

→ 1000 (201 images) Phase 1:  79%|███████▊  | 158/201 [00:02<00:00, 76.16it/s]

→ 1000 (201 images) Phase 1:  84%|████████▎ | 168/201 [00:03<00:00, 65.30it/s]

→ 1000 (201 images) Phase 1:  96%|█████████▌| 192/201 [00:03<00:00, 87.92it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/201 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/201 [00:00<01:02,  3.20it/s]

→ 1000 Phase 2: corners:   5%|▌         | 11/201 [00:00<00:05, 33.28it/s]

→ 1000 Phase 2: corners:  12%|█▏        | 24/201 [00:00<00:02, 62.60it/s]

→ 1000 Phase 2: corners:  20%|█▉        | 40/201 [00:00<00:01, 89.30it/s]

→ 1000 Phase 2: corners:  28%|██▊       | 56/201 [00:00<00:01, 107.53it/s]

→ 1000 Phase 2: corners:  35%|███▌      | 71/201 [00:00<00:01, 119.24it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 85/201 [00:00<00:00, 122.59it/s]

→ 1000 Phase 2: corners:  50%|█████     | 101/201 [00:01<00:00, 132.99it/s]

→ 1000 Phase 2: corners:  57%|█████▋    | 115/201 [00:01<00:00, 122.67it/s]

→ 1000 Phase 2: corners:  64%|██████▎   | 128/201 [00:01<00:00, 119.89it/s]

→ 1000 Phase 2: corners:  71%|███████   | 143/201 [00:01<00:00, 123.87it/s]

→ 1000 Phase 2: corners:  79%|███████▊  | 158/201 [00:01<00:00, 127.59it/s]

→ 1000 Phase 2: corners:  86%|████████▌ | 173/201 [00:01<00:00, 131.89it/s]

                                                                           [PASS2] Frame 0000001: fixed corners {0, 1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000002: fixed corners {0, 1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000004: fixed corners {0, 1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000176: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000177: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000178: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000179: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001034: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001035: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001036: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001037: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000004: fixed corners {0, 1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000178: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001036: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000004: fixed corners {0, 1} (was_fixed=False, trusted=False)
[PASS2] Summary: 4 frames fixed, 8 untrusted, 201 total


→ 1000 Phase 3: finalize:   0%|          | 0/201 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   3%|▎         | 7/201 [00:00<00:03, 60.17it/s]

→ 1000 Phase 3: finalize:   7%|▋         | 14/201 [00:00<00:02, 62.41it/s]

→ 1000 Phase 3: finalize:  10%|█         | 21/201 [00:00<00:02, 63.62it/s]

→ 1000 Phase 3: finalize:  14%|█▍        | 28/201 [00:00<00:02, 63.84it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 35/201 [00:00<00:02, 64.00it/s]

→ 1000 Phase 3: finalize:  21%|██        | 42/201 [00:00<00:02, 65.12it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 49/201 [00:00<00:02, 64.93it/s]

→ 1000 Phase 3: finalize:  28%|██▊       | 56/201 [00:00<00:02, 64.57it/s]

→ 1000 Phase 3: finalize:  31%|███▏      | 63/201 [00:00<00:02, 64.33it/s]

→ 1000 Phase 3: finalize:  35%|███▍      | 70/201 [00:01<00:02, 63.83it/s]

→ 1000 Phase 3: finalize:  38%|███▊      | 77/201 [00:01<00:02, 60.93it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 84/201 [00:01<00:01, 59.14it/s]

→ 1000 Phase 3: finalize:  45%|████▍     | 90/201 [00:01<00:01, 58.02it/s]

→ 1000 Phase 3: finalize:  48%|████▊     | 96/201 [00:01<00:01, 57.44it/s]

→ 1000 Phase 3: finalize:  51%|█████     | 102/201 [00:01<00:01, 57.07it/s]

→ 1000 Phase 3: finalize:  54%|█████▎    | 108/201 [00:01<00:01, 56.91it/s]

→ 1000 Phase 3: finalize:  57%|█████▋    | 114/201 [00:01<00:01, 56.76it/s]

→ 1000 Phase 3: finalize:  60%|█████▉    | 120/201 [00:01<00:01, 56.45it/s]

→ 1000 Phase 3: finalize:  63%|██████▎   | 126/201 [00:02<00:01, 56.33it/s]

→ 1000 Phase 3: finalize:  66%|██████▌   | 132/201 [00:02<00:01, 56.24it/s]

→ 1000 Phase 3: finalize:  69%|██████▊   | 138/201 [00:02<00:01, 55.96it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 144/201 [00:02<00:01, 55.92it/s]

→ 1000 Phase 3: finalize:  75%|███████▍  | 150/201 [00:02<00:00, 56.10it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 156/201 [00:02<00:00, 56.29it/s]

→ 1000 Phase 3: finalize:  81%|████████  | 162/201 [00:02<00:00, 56.36it/s]

→ 1000 Phase 3: finalize:  84%|████████▎ | 168/201 [00:02<00:00, 56.64it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 174/201 [00:02<00:00, 56.84it/s]

→ 1000 Phase 3: finalize:  90%|████████▉ | 180/201 [00:03<00:00, 57.09it/s]

→ 1000 Phase 3: finalize:  93%|█████████▎| 186/201 [00:03<00:00, 57.15it/s]

→ 1000 Phase 3: finalize:  96%|█████████▌| 192/201 [00:03<00:00, 57.08it/s]

→ 1000 Phase 3: finalize:  99%|█████████▊| 198/201 [00:03<00:00, 56.65it/s]

                                                                           
[TIMING] 1000 — 201 frames
  Phase 1  radial detect   (parallel)  :   3.42s  (17.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.80s  (8.9 ms/frame)
  Phase 2b corner fix      (sequential):   0.26s
  Phase 3  finalize        (sequential):   3.42s  (17.0 ms/frame)
    decode + undistort                 :   1.85s  (9.2 ms/frame)
    corner apply + refinement          :   0.65s  (3.2 ms/frame)
    segment                            :   0.75s  (3.7 ms/frame)
    smooth                             :   0.11s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   8.90s


Processing Rigs: 100%|██████████| 4/4 [00:58<00:00, 14.50s/it]
Processing Rigs: 100%|██████████| 4/4 [00:58<00:00, 14.66s/it]
[💾] Saved RigFrameDataset to /working/MDC057_W002(6)_2025-07-24/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 946 frames from 4 rigs to /working/MDC057_W002(6)_2025-07-24/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC057_W002(6)_2025-07-24/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000R: 100 frames selected from 225
[📋] 2000L: 100 frames selected from 231
[📋] 1500: 100 frames selected from 289
[📋] 1000: 100 frames selected from 201
[💾] Saved RigFrameDataset to /working/MDC057_W002(6)_2025-07-24/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC057_W002(6)_2025-07-24/calibration/debug/1_digitized/rig_frames.json

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

-> Calculating the casing center ...
[INFO] Using 23 total sampled bright frames

Computing max image from bright frames:   0%|          | 0/23 [00:00<?, ?it/s]
Computing max image from bright frames:   4%|▍         | 1/23 [00:01<00:33,  1.51s/it]
Computing max image from bright frames:   9%|▊         | 2/23 [00:02<00:29,  1.39s/it]
Computing max image from bright frames:  13%|█▎        | 3/23 [00:04<00:33,  1.67s/it]
Computing max image from bright frames:  17%|█▋        | 4/23 [00:07<00:41,  2.16s/it]
Computing max image from bright frames:  22%|██▏       | 5/23 [00:10<00:43,  2.44s/it]
Computing max image from bright frames:  26%|██▌       | 6/23 [00:13<00:44,  2.60s/it]
Computing max image from bright frames:  30%|███       | 7/23 [00:16<00:43,  2.70s/it]
Computing max image from bright frames:  35%|███▍      | 8/23 [00:19<00:41,  2.77s/it]
Computing max image from bright frames:  39%|███▉      | 9/23 [00:22<00:39,  2.82s/it]
Computing max image from bright frames:  43%|████▎     | 10/23 [00:25<00:37,  2.85s/it]
Computing max image from bright frames:  48%|████▊     | 11/23 [00:28<00:34,  2.87s/it]
Computing max image from bright frames:  52%|█████▏    | 12/23 [00:31<00:32,  2.95s/it]
Computing max image from bright frames:  57%|█████▋    | 13/23 [00:34<00:29,  3.00s/it]
Computing max image from bright frames:  61%|██████    | 14/23 [00:37<00:27,  3.03s/it]
Computing max image from bright frames:  65%|██████▌   | 15/23 [00:40<00:24,  3.06s/it]
Computing max image from bright frames:  70%|██████▉   | 16/23 [00:43<00:21,  3.10s/it]
Computing max image from bright frames:  74%|███████▍  | 17/23 [00:46<00:18,  3.09s/it]
Computing max image from bright frames:  78%|███████▊  | 18/23 [00:50<00:15,  3.10s/it]
Computing max image from bright frames:  83%|████████▎ | 19/23 [00:52<00:12,  3.03s/it]
Computing max image from bright frames:  87%|████████▋ | 20/23 [00:55<00:08,  2.99s/it]
Computing max image from bright frames:  91%|█████████▏| 21/23 [00:58<00:05,  2.97s/it]
Computing max image from bright frames:  96%|█████████▌| 22/23 [01:01<00:02,  2.95s/it]
Computing max image from bright frames: 100%|██████████| 23/23 [01:02<00:00,  2.47s/it]
                                                                                       
[✅] Casing detection complete: cx=1006.0, cy=767.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:27,  3.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:27,  3.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   2%|▏         | 2/100 [00:00<00:27,  3.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:26,  3.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   4%|▍         | 4/100 [00:00<00:09, 10.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:09, 10.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   5%|▌         | 5/100 [00:00<00:09, 10.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:08, 10.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 349.495} (0.001):   7%|▋         | 7/100 [00:00<00:08, 10.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 349.495} (0.001):   8%|▊         | 8/100 [00:00<00:05, 17.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:05, 17.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:05, 17.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:00<00:05, 17.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  11%|█         | 11/100 [00:00<00:04, 19.30it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.002 | Best: {'fx': 377.778} (0.002):  11%|█         | 11/100 [00:00<00:04, 19.30it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  12%|█▏        | 12/100 [00:00<00:04, 19.30it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 19.30it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  14%|█▍        | 14/100 [00:00<00:05, 16.93it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:00<00:05, 16.93it/s] 
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:01<00:05, 16.93it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  16%|█▌        | 16/100 [00:01<00:04, 17.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:01<00:04, 17.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  17%|█▋        | 17/100 [00:01<00:04, 17.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:01<00:04, 17.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:01<00:04, 17.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  20%|██        | 20/100 [00:01<00:03, 21.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.009 | Best: {'fx': 441.414} (0.009):  20%|██        | 20/100 [00:01<00:03, 21.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.010 | Best: {'fx': 448.485} (0.010):  21%|██        | 21/100 [00:01<00:03, 21.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.014 | Best: {'fx': 462.626} (0.014):  22%|██▏       | 22/100 [00:01<00:03, 21.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.014 | Best: {'fx': 462.626} (0.014):  23%|██▎       | 23/100 [00:01<00:04, 18.97it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.012 | Best: {'fx': 462.626} (0.014):  23%|██▎       | 23/100 [00:01<00:04, 18.97it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.016 | Best: {'fx': 469.697} (0.016):  24%|██▍       | 24/100 [00:01<00:04, 18.97it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 476.768} (0.020):  25%|██▌       | 25/100 [00:01<00:03, 18.97it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 483.838} (0.024):  26%|██▌       | 26/100 [00:01<00:03, 18.97it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 483.838} (0.024):  27%|██▋       | 27/100 [00:01<00:03, 22.18it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.028 | Best: {'fx': 490.909} (0.028):  27%|██▋       | 27/100 [00:01<00:03, 22.18it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.035 | Best: {'fx': 497.98} (0.035):  28%|██▊       | 28/100 [00:01<00:03, 22.18it/s] 
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.044 | Best: {'fx': 505.051} (0.044):  29%|██▉       | 29/100 [00:01<00:03, 22.18it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.044 | Best: {'fx': 505.051} (0.044):  30%|███       | 30/100 [00:01<00:02, 23.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.053 | Best: {'fx': 512.121} (0.053):  30%|███       | 30/100 [00:01<00:02, 23.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.064 | Best: {'fx': 519.192} (0.064):  31%|███       | 31/100 [00:01<00:02, 23.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.077 | Best: {'fx': 526.263} (0.077):  32%|███▏      | 32/100 [00:01<00:02, 23.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.077 | Best: {'fx': 526.263} (0.077):  33%|███▎      | 33/100 [00:01<00:03, 16.78it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.080 | Best: {'fx': 533.333} (0.080):  33%|███▎      | 33/100 [00:01<00:03, 16.78it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.066 | Best: {'fx': 533.333} (0.080):  34%|███▍      | 34/100 [00:01<00:03, 16.78it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.074 | Best: {'fx': 533.333} (0.080):  35%|███▌      | 35/100 [00:01<00:03, 16.78it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.052 | Best: {'fx': 533.333} (0.080):  36%|███▌      | 36/100 [00:02<00:03, 16.78it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.052 | Best: {'fx': 533.333} (0.080):  37%|███▋      | 37/100 [00:02<00:03, 18.20it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.059 | Best: {'fx': 533.333} (0.080):  37%|███▋      | 37/100 [00:02<00:03, 18.20it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.047 | Best: {'fx': 533.333} (0.080):  38%|███▊      | 38/100 [00:02<00:03, 18.20it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.040 | Best: {'fx': 533.333} (0.080):  39%|███▉      | 39/100 [00:02<00:03, 18.20it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.040 | Best: {'fx': 533.333} (0.080):  40%|████      | 40/100 [00:02<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.036 | Best: {'fx': 533.333} (0.080):  40%|████      | 40/100 [00:02<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.044 | Best: {'fx': 533.333} (0.080):  41%|████      | 41/100 [00:02<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.032 | Best: {'fx': 533.333} (0.080):  42%|████▏     | 42/100 [00:02<00:02, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.032 | Best: {'fx': 533.333} (0.080):  43%|████▎     | 43/100 [00:02<00:02, 19.38it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.033 | Best: {'fx': 533.333} (0.080):  43%|████▎     | 43/100 [00:02<00:02, 19.38it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.038 | Best: {'fx': 533.333} (0.080):  44%|████▍     | 44/100 [00:02<00:02, 19.38it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.029 | Best: {'fx': 533.333} (0.080):  45%|████▌     | 45/100 [00:02<00:02, 19.38it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.034 | Best: {'fx': 533.333} (0.080):  46%|████▌     | 46/100 [00:02<00:02, 19.38it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.028 | Best: {'fx': 533.333} (0.080):  47%|████▋     | 47/100 [00:02<00:02, 19.38it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.028 | Best: {'fx': 533.333} (0.080):  48%|████▊     | 48/100 [00:02<00:02, 24.42it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.030 | Best: {'fx': 533.333} (0.080):  48%|████▊     | 48/100 [00:02<00:02, 24.42it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.027 | Best: {'fx': 533.333} (0.080):  49%|████▉     | 49/100 [00:02<00:02, 24.42it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.027 | Best: {'fx': 533.333} (0.080):  50%|█████     | 50/100 [00:02<00:02, 24.42it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 533.333} (0.080):  51%|█████     | 51/100 [00:02<00:02, 24.42it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 533.333} (0.080):  52%|█████▏    | 52/100 [00:02<00:01, 27.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 533.333} (0.080):  52%|█████▏    | 52/100 [00:02<00:01, 27.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 533.333} (0.080):  53%|█████▎    | 53/100 [00:02<00:01, 27.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 533.333} (0.080):  54%|█████▍    | 54/100 [00:02<00:01, 27.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 533.333} (0.080):  55%|█████▌    | 55/100 [00:02<00:01, 26.10it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 533.333} (0.080):  55%|█████▌    | 55/100 [00:02<00:01, 26.10it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 533.333} (0.080):  56%|█████▌    | 56/100 [00:02<00:01, 26.10it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 533.333} (0.080):  57%|█████▋    | 57/100 [00:02<00:01, 26.10it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 533.333} (0.080):  58%|█████▊    | 58/100 [00:02<00:01, 25.93it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 533.333} (0.080):  58%|█████▊    | 58/100 [00:02<00:01, 25.93it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 533.333} (0.080):  59%|█████▉    | 59/100 [00:02<00:01, 25.93it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 533.333} (0.080):  60%|██████    | 60/100 [00:02<00:01, 25.93it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 533.333} (0.080):  61%|██████    | 61/100 [00:02<00:01, 25.93it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 533.333} (0.080):  62%|██████▏   | 62/100 [00:02<00:01, 28.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 533.333} (0.080):  62%|██████▏   | 62/100 [00:02<00:01, 28.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 533.333} (0.080):  63%|██████▎   | 63/100 [00:02<00:01, 28.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 533.333} (0.080):  64%|██████▍   | 64/100 [00:02<00:01, 28.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 533.333} (0.080):  65%|██████▌   | 65/100 [00:02<00:01, 28.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.080):  66%|██████▌   | 66/100 [00:03<00:01, 28.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.080):  67%|██████▋   | 67/100 [00:03<00:01, 28.40it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.080):  68%|██████▊   | 68/100 [00:03<00:00, 34.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.080):  68%|██████▊   | 68/100 [00:03<00:00, 34.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.080):  69%|██████▉   | 69/100 [00:03<00:00, 34.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.080):  70%|███████   | 70/100 [00:03<00:00, 34.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.080):  71%|███████   | 71/100 [00:03<00:00, 34.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.080):  72%|███████▏  | 72/100 [00:03<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.080):  72%|███████▏  | 72/100 [00:03<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.080):  73%|███████▎  | 73/100 [00:03<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.080):  74%|███████▍  | 74/100 [00:03<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.080):  75%|███████▌  | 75/100 [00:03<00:00, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.080):  76%|███████▌  | 76/100 [00:03<00:00, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.080):  76%|███████▌  | 76/100 [00:03<00:00, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.080):  77%|███████▋  | 77/100 [00:03<00:00, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.080):  78%|███████▊  | 78/100 [00:03<00:00, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.080):  79%|███████▉  | 79/100 [00:03<00:00, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.080):  80%|████████  | 80/100 [00:03<00:00, 30.00it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  80%|████████  | 80/100 [00:03<00:00, 30.00it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  81%|████████  | 81/100 [00:03<00:00, 30.00it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  82%|████████▏ | 82/100 [00:03<00:00, 30.00it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  83%|████████▎ | 83/100 [00:03<00:00, 30.00it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  84%|████████▍ | 84/100 [00:03<00:00, 29.13it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  84%|████████▍ | 84/100 [00:03<00:00, 29.13it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  85%|████████▌ | 85/100 [00:03<00:00, 29.13it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  86%|████████▌ | 86/100 [00:03<00:00, 29.13it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  87%|████████▋ | 87/100 [00:03<00:00, 26.61it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  87%|████████▋ | 87/100 [00:03<00:00, 26.61it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  88%|████████▊ | 88/100 [00:03<00:00, 26.61it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  89%|████████▉ | 89/100 [00:03<00:00, 26.61it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  90%|█████████ | 90/100 [00:03<00:00, 25.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  90%|█████████ | 90/100 [00:03<00:00, 25.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  91%|█████████ | 91/100 [00:03<00:00, 25.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  92%|█████████▏| 92/100 [00:03<00:00, 25.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  93%|█████████▎| 93/100 [00:03<00:00, 25.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  94%|█████████▍| 94/100 [00:04<00:00, 25.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  95%|█████████▌| 95/100 [00:04<00:00, 25.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  96%|█████████▌| 96/100 [00:04<00:00, 32.08it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.080):  96%|█████████▌| 96/100 [00:04<00:00, 32.08it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.080):  97%|█████████▋| 97/100 [00:04<00:00, 32.08it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.080):  98%|█████████▊| 98/100 [00:04<00:00, 32.08it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.080):  99%|█████████▉| 99/100 [00:04<00:00, 32.08it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.080): 100%|██████████| 100/100 [00:04<00:00, 25.61it/s]
                                                                                                                                        

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.049 | Best: {'fx': 508.333} (0.049):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.049 | Best: {'fx': 508.333} (0.049):   2%|▏         | 1/50 [00:00<00:22,  2.15it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.050 | Best: {'fx': 509.354} (0.050):   2%|▏         | 1/50 [00:00<00:22,  2.15it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.050 | Best: {'fx': 509.354} (0.050):   4%|▍         | 2/50 [00:00<00:12,  3.98it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.051 | Best: {'fx': 510.374} (0.051):   4%|▍         | 2/50 [00:00<00:12,  3.98it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.052 | Best: {'fx': 511.395} (0.052):   6%|▌         | 3/50 [00:00<00:11,  3.98it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.053 | Best: {'fx': 512.415} (0.053):   8%|▊         | 4/50 [00:00<00:11,  3.98it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.055 | Best: {'fx': 513.435} (0.055):  10%|█         | 5/50 [00:00<00:11,  3.98it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.055 | Best: {'fx': 513.435} (0.055):  12%|█▏        | 6/50 [00:00<00:03, 12.16it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.057 | Best: {'fx': 514.456} (0.057):  12%|█▏        | 6/50 [00:00<00:03, 12.16it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.059 | Best: {'fx': 515.476} (0.059):  14%|█▍        | 7/50 [00:00<00:03, 12.16it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.061 | Best: {'fx': 516.497} (0.061):  16%|█▌        | 8/50 [00:00<00:03, 12.16it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.061 | Best: {'fx': 516.497} (0.061):  18%|█▊        | 9/50 [00:00<00:02, 13.95it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.062 | Best: {'fx': 517.517} (0.062):  18%|█▊        | 9/50 [00:00<00:02, 13.95it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.063 | Best: {'fx': 518.537} (0.063):  20%|██        | 10/50 [00:00<00:02, 13.95it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.065 | Best: {'fx': 519.558} (0.065):  22%|██▏       | 11/50 [00:00<00:02, 13.95it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.068 | Best: {'fx': 520.578} (0.068):  24%|██▍       | 12/50 [00:01<00:02, 13.95it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.068 | Best: {'fx': 520.578} (0.068):  26%|██▌       | 13/50 [00:01<00:02, 18.18it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.071 | Best: {'fx': 521.599} (0.071):  26%|██▌       | 13/50 [00:01<00:02, 18.18it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.074 | Best: {'fx': 522.619} (0.074):  28%|██▊       | 14/50 [00:01<00:01, 18.18it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.077 | Best: {'fx': 524.66} (0.077):  30%|███       | 15/50 [00:01<00:01, 18.18it/s] 
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.077 | Best: {'fx': 524.66} (0.077):  32%|███▏      | 16/50 [00:01<00:01, 17.45it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.076 | Best: {'fx': 524.66} (0.077):  32%|███▏      | 16/50 [00:01<00:01, 17.45it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.078 | Best: {'fx': 526.701} (0.078):  34%|███▍      | 17/50 [00:01<00:01, 17.45it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.078 | Best: {'fx': 526.701} (0.078):  36%|███▌      | 18/50 [00:01<00:01, 16.97it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.080 | Best: {'fx': 527.721} (0.080):  36%|███▌      | 18/50 [00:01<00:01, 16.97it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.077 | Best: {'fx': 527.721} (0.080):  38%|███▊      | 19/50 [00:01<00:01, 16.97it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.081 | Best: {'fx': 528.741} (0.081):  40%|████      | 20/50 [00:01<00:01, 16.97it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.081 | Best: {'fx': 528.741} (0.081):  42%|████▏     | 21/50 [00:01<00:01, 16.97it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.081 | Best: {'fx': 528.741} (0.081):  44%|████▍     | 22/50 [00:01<00:01, 21.24it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.082 | Best: {'fx': 530.782} (0.082):  44%|████▍     | 22/50 [00:01<00:01, 21.24it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.081 | Best: {'fx': 530.782} (0.082):  46%|████▌     | 23/50 [00:01<00:01, 21.24it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.080 | Best: {'fx': 530.782} (0.082):  48%|████▊     | 24/50 [00:01<00:01, 21.24it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.080 | Best: {'fx': 530.782} (0.082):  50%|█████     | 25/50 [00:01<00:01, 21.72it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.080 | Best: {'fx': 530.782} (0.082):  50%|█████     | 25/50 [00:01<00:01, 21.72it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.078 | Best: {'fx': 530.782} (0.082):  52%|█████▏    | 26/50 [00:01<00:01, 21.72it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.074 | Best: {'fx': 530.782} (0.082):  54%|█████▍    | 27/50 [00:01<00:01, 21.72it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.072 | Best: {'fx': 530.782} (0.082):  56%|█████▌    | 28/50 [00:01<00:01, 21.72it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.072 | Best: {'fx': 530.782} (0.082):  58%|█████▊    | 29/50 [00:01<00:00, 24.24it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.078 | Best: {'fx': 530.782} (0.082):  58%|█████▊    | 29/50 [00:01<00:00, 24.24it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.072 | Best: {'fx': 530.782} (0.082):  60%|██████    | 30/50 [00:01<00:00, 24.24it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.078 | Best: {'fx': 530.782} (0.082):  62%|██████▏   | 31/50 [00:01<00:00, 24.24it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.076 | Best: {'fx': 530.782} (0.082):  64%|██████▍   | 32/50 [00:01<00:00, 24.24it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.076 | Best: {'fx': 530.782} (0.082):  66%|██████▌   | 33/50 [00:01<00:00, 27.03it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.070 | Best: {'fx': 530.782} (0.082):  66%|██████▌   | 33/50 [00:01<00:00, 27.03it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.070 | Best: {'fx': 530.782} (0.082):  68%|██████▊   | 34/50 [00:01<00:00, 27.03it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.069 | Best: {'fx': 530.782} (0.082):  70%|███████   | 35/50 [00:01<00:00, 27.03it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.067 | Best: {'fx': 530.782} (0.082):  72%|███████▏  | 36/50 [00:01<00:00, 27.03it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.075 | Best: {'fx': 530.782} (0.082):  74%|███████▍  | 37/50 [00:01<00:00, 27.03it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.075 | Best: {'fx': 530.782} (0.082):  76%|███████▌  | 38/50 [00:01<00:00, 32.20it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.068 | Best: {'fx': 530.782} (0.082):  76%|███████▌  | 38/50 [00:01<00:00, 32.20it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.065 | Best: {'fx': 530.782} (0.082):  78%|███████▊  | 39/50 [00:01<00:00, 32.20it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.065 | Best: {'fx': 530.782} (0.082):  80%|████████  | 40/50 [00:01<00:00, 32.20it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.064 | Best: {'fx': 530.782} (0.082):  82%|████████▏ | 41/50 [00:02<00:00, 32.20it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.063 | Best: {'fx': 530.782} (0.082):  84%|████████▍ | 42/50 [00:02<00:00, 32.20it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.063 | Best: {'fx': 530.782} (0.082):  86%|████████▌ | 43/50 [00:02<00:00, 34.18it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.062 | Best: {'fx': 530.782} (0.082):  86%|████████▌ | 43/50 [00:02<00:00, 34.18it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.060 | Best: {'fx': 530.782} (0.082):  88%|████████▊ | 44/50 [00:02<00:00, 34.18it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.060 | Best: {'fx': 530.782} (0.082):  90%|█████████ | 45/50 [00:02<00:00, 34.18it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.058 | Best: {'fx': 530.782} (0.082):  92%|█████████▏| 46/50 [00:02<00:00, 34.18it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.058 | Best: {'fx': 530.782} (0.082):  94%|█████████▍| 47/50 [00:02<00:00, 35.53it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.057 | Best: {'fx': 530.782} (0.082):  94%|█████████▍| 47/50 [00:02<00:00, 35.53it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.056 | Best: {'fx': 530.782} (0.082):  96%|█████████▌| 48/50 [00:02<00:00, 35.53it/s]
Brute | Start: {'fx': 533.333} (0.080) | Current: 0.055 | Best: {'fx': 530.782} (0.082):  98%|█████████▊| 49/50 [00:02<00:00, 35.53it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 530.7823129251701
    px: 1006.0
    py: 767.0
    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 2 incomplete frames): 78 frames will be used for optimization
  Rigs: 2000R(2000mm):19/20, 2000L(2000mm):20/20, 1500(1500mm):20/20, 1000(1000mm):19/20
  Total: 78/80 frames used for optimization

Initial score: 2648519473365473069838103067230208.0000: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 2648519473365473069838103067230208.0000, picklable_objective(x0) = 9063.2342

Best score: 9063.2342: : 0iter [00:01, ?iter/s]                               
Best score: 9063.2342: : 1iter [00:01,  1.98s/iter]
Best score: 9063.2342: : 1iter [00:02,  1.98s/iter]
Best score: 9063.2342: : 2iter [00:02,  1.98s/iter]
Best score: 9063.2342: : 3iter [00:02,  1.74iter/s]
Best score: 9063.2342: : 3iter [00:02,  1.74iter/s]
Best score: 9063.2342: : 4iter [00:02,  1.74iter/s]
Best score: 9063.2342: : 5iter [00:02,  3.11iter/s]
Best score: 9063.2342: : 5iter [00:02,  3.11iter/s]
Best score: 9063.2342: : 6iter [00:02,  3.11iter/s]
Best score: 9063.2342: : 7iter [00:02,  4.54iter/s]
Best score: 9063.2342: : 7iter [00:02,  4.54iter/s]
Best score: 9063.2342: : 8iter [00:02,  4.54iter/s]
Best score: 9063.2342: : 9iter [00:02,  5.94iter/s]
Best score: 1125.2918: : 9iter [00:02,  5.94iter/s]
Best score: 1125.2918: : 10iter [00:02,  5.94iter/s]
Best score: 1125.2918: : 11iter [00:02,  7.14iter/s]
Best score: 1125.2918: : 11iter [00:02,  7.14iter/s]
Best score: 1125.2918: : 12iter [00:02,  7.14iter/s]
Best score: 1125.2918: : 13iter [00:02,  8.27iter/s]
Best score: 1125.2918: : 13iter [00:03,  8.27iter/s]
Best score: 1125.2918: : 14iter [00:03,  8.27iter/s]
Best score: 1125.2918: : 15iter [00:03,  9.20iter/s]
Best score: 1125.2918: : 15iter [00:03,  9.20iter/s]
Best score: 1125.2918: : 16iter [00:03,  9.20iter/s]
Best score: 1125.2918: : 17iter [00:03,  9.96iter/s]
Best score: 1125.2918: : 17iter [00:03,  9.96iter/s]
Best score: 1125.2918: : 18iter [00:03,  9.96iter/s]
Best score: 1125.2918: : 19iter [00:03, 10.59iter/s]
Best score: 1125.2918: : 19iter [00:03, 10.59iter/s]
Best score: 1125.2918: : 20iter [00:03, 10.59iter/s]
Best score: 1125.2918: : 21iter [00:03, 10.87iter/s]
Best score: 1125.2918: : 21iter [00:03, 10.87iter/s]
Best score: 1125.2918: : 22iter [00:03, 10.87iter/s]
Best score: 1125.2918: : 23iter [00:03, 11.24iter/s]
Best score: 1125.2918: : 23iter [00:03, 11.24iter/s]
Best score: 1125.2918: : 24iter [00:03, 11.24iter/s]
Best score: 1125.2918: : 25iter [00:03, 11.53iter/s]
Best score: 1125.2918: : 25iter [00:04, 11.53iter/s]
Best score: 1125.2918: : 26iter [00:04, 11.53iter/s]
Best score: 1125.2918: : 27iter [00:04, 11.71iter/s]
Best score: 1125.2918: : 27iter [00:04, 11.71iter/s]
Best score: 1125.2918: : 28iter [00:04, 11.71iter/s]
Best score: 1125.2918: : 29iter [00:04, 11.89iter/s]
Best score: 1125.2918: : 29iter [00:04, 11.89iter/s]
Best score: 1125.2918: : 30iter [00:04, 11.89iter/s]
Best score: 1125.2918: : 31iter [00:04, 11.77iter/s]
Best score: 1125.2918: : 31iter [00:04, 11.77iter/s]
Best score: 1125.2918: : 32iter [00:04, 11.77iter/s]
Best score: 1125.2918: : 33iter [00:04, 11.87iter/s]
Best score: 1125.2918: : 33iter [00:04, 11.87iter/s]
Best score: 1125.2918: : 34iter [00:04, 11.87iter/s]
Best score: 1125.2918: : 35iter [00:04, 11.97iter/s]
Best score: 1125.2918: : 35iter [00:04, 11.97iter/s]
Best score: 1125.2918: : 36iter [00:04, 11.97iter/s]
Best score: 1125.2918: : 37iter [00:04, 12.02iter/s]
Best score: 1125.2918: : 37iter [00:05, 12.02iter/s]
Best score: 1125.2918: : 38iter [00:05, 12.02iter/s]
Best score: 1125.2918: : 39iter [00:05, 12.06iter/s]
Best score: 1069.4783: : 39iter [00:05, 12.06iter/s]
Best score: 1069.4783: : 40iter [00:05, 12.06iter/s]
Best score: 1069.4783: : 41iter [00:05, 11.93iter/s]
Best score: 1069.4783: : 41iter [00:05, 11.93iter/s]
Best score: 1069.4783: : 42iter [00:05, 11.93iter/s]
Best score: 1069.4783: : 43iter [00:05, 12.01iter/s]
Best score: 1069.4783: : 43iter [00:05, 12.01iter/s]
Best score: 1069.4783: : 44iter [00:05, 12.01iter/s]
Best score: 1069.4783: : 45iter [00:05, 12.03iter/s]
Best score: 1069.4783: : 45iter [00:05, 12.03iter/s]
Best score: 1069.4783: : 46iter [00:05, 12.03iter/s]
Best score: 1069.4783: : 47iter [00:05, 12.05iter/s]
Best score: 1069.4783: : 47iter [00:05, 12.05iter/s]
Best score: 1069.4783: : 48iter [00:05, 12.05iter/s]
Best score: 1069.4783: : 49iter [00:05, 12.06iter/s]
[ITER 50] Best: 1069.4783
[PARAMS] Current best parameters:
  fx: 576.7447
  fy: 617.2718
  px: 1009.2111
  py: 807.8606
  k1: -0.22152905
  k2: 0.16803164
  k3: 0.03933920
  k4: -0.02678705
  p1: -0.01017574
  p2: -0.03013923
  p3: 0.00796961
  p4: -0.03086500
  s1: -0.0485
  s2: 0.0354
  s3: -0.0233
  s4: 0.0041
  tilt_x: 0.0674
  tilt_y: -0.0832
  scale: 2.7907
  rotation: 0.2899

Best score: 1069.4783: : 49iter [00:06, 12.06iter/s]
Best score: 1069.4783: : 50iter [00:06, 12.06iter/s]
Best score: 1069.4783: : 51iter [00:06, 11.88iter/s]
Best score: 1069.4783: : 51iter [00:06, 11.88iter/s]
Best score: 1069.4783: : 52iter [00:06, 11.88iter/s]
Best score: 1069.4783: : 53iter [00:06, 11.97iter/s]
Best score: 1069.4783: : 53iter [00:06, 11.97iter/s]
Best score: 1069.4783: : 54iter [00:06, 11.97iter/s]
Best score: 1069.4783: : 55iter [00:06, 12.11iter/s]
Best score: 1069.4783: : 55iter [00:06, 12.11iter/s]
Best score: 1069.4783: : 56iter [00:06, 12.11iter/s]
Best score: 1069.4783: : 57iter [00:06, 12.17iter/s]
Best score: 1069.4783: : 57iter [00:06, 12.17iter/s]
Best score: 1069.4783: : 58iter [00:06, 12.17iter/s]
Best score: 1069.4783: : 59iter [00:06, 12.22iter/s]
Best score: 983.0512: : 59iter [00:06, 12.22iter/s] 
Best score: 983.0512: : 60iter [00:06, 12.22iter/s]
Best score: 983.0512: : 61iter [00:06, 12.03iter/s]
Best score: 983.0512: : 61iter [00:07, 12.03iter/s]
Best score: 983.0512: : 62iter [00:07, 12.03iter/s]
Best score: 983.0512: : 63iter [00:07, 12.10iter/s]
Best score: 983.0512: : 63iter [00:07, 12.10iter/s]
Best score: 983.0512: : 64iter [00:07, 12.10iter/s]
Best score: 983.0512: : 65iter [00:07, 12.13iter/s]
Best score: 983.0512: : 65iter [00:07, 12.13iter/s]
Best score: 983.0512: : 66iter [00:07, 12.13iter/s]
Best score: 983.0512: : 67iter [00:07, 12.13iter/s]
Best score: 983.0512: : 67iter [00:07, 12.13iter/s]
Best score: 983.0512: : 68iter [00:07, 12.13iter/s]
Best score: 983.0512: : 69iter [00:07, 12.14iter/s]
Best score: 785.4757: : 69iter [00:07, 12.14iter/s]
Best score: 785.4757: : 70iter [00:07, 12.14iter/s]
Best score: 785.4757: : 71iter [00:07, 11.93iter/s]
Best score: 785.4757: : 71iter [00:07, 11.93iter/s]
Best score: 785.4757: : 72iter [00:07, 11.93iter/s]
Best score: 785.4757: : 73iter [00:07, 11.98iter/s]
Best score: 785.4757: : 73iter [00:08, 11.98iter/s]
Best score: 785.4757: : 74iter [00:08, 11.98iter/s]
Best score: 785.4757: : 75iter [00:08, 12.03iter/s]
Best score: 785.4757: : 75iter [00:08, 12.03iter/s]
Best score: 785.4757: : 76iter [00:08, 12.03iter/s]
Best score: 785.4757: : 77iter [00:08, 12.04iter/s]
Best score: 785.4757: : 77iter [00:08, 12.04iter/s]
Best score: 785.4757: : 78iter [00:08, 12.04iter/s]
Best score: 785.4757: : 79iter [00:08, 12.04iter/s]
Best score: 511.6427: : 79iter [00:08, 12.04iter/s]
Best score: 511.6427: : 80iter [00:08, 12.04iter/s]
Best score: 511.6427: : 81iter [00:08, 11.83iter/s]
Best score: 511.6427: : 81iter [00:08, 11.83iter/s]
Best score: 511.6427: : 82iter [00:08, 11.83iter/s]
Best score: 511.6427: : 83iter [00:08, 11.92iter/s]
Best score: 511.6427: : 83iter [00:08, 11.92iter/s]
Best score: 511.6427: : 84iter [00:08, 11.92iter/s]
Best score: 511.6427: : 85iter [00:08, 11.97iter/s]
Best score: 511.6427: : 85iter [00:09, 11.97iter/s]
Best score: 511.6427: : 86iter [00:09, 11.97iter/s]
Best score: 511.6427: : 87iter [00:09, 12.08iter/s]
Best score: 511.6427: : 87iter [00:09, 12.08iter/s]
Best score: 511.6427: : 88iter [00:09, 12.08iter/s]
Best score: 511.6427: : 89iter [00:09, 12.12iter/s]
Best score: 511.6427: : 89iter [00:09, 12.12iter/s]
Best score: 511.6427: : 90iter [00:09, 12.12iter/s]
Best score: 511.6427: : 91iter [00:09, 11.95iter/s]
Best score: 511.6427: : 91iter [00:09, 11.95iter/s]
Best score: 511.6427: : 92iter [00:09, 11.95iter/s]
Best score: 511.6427: : 93iter [00:09, 12.07iter/s]
Best score: 511.6427: : 93iter [00:09, 12.07iter/s]
Best score: 511.6427: : 94iter [00:09, 12.07iter/s]
Best score: 511.6427: : 95iter [00:09, 12.11iter/s]
Best score: 511.6427: : 95iter [00:09, 12.11iter/s]
Best score: 511.6427: : 96iter [00:09, 12.11iter/s]
Best score: 511.6427: : 97iter [00:09, 12.13iter/s]
Best score: 511.6427: : 97iter [00:10, 12.13iter/s]
Best score: 511.6427: : 98iter [00:10, 12.13iter/s]
Best score: 511.6427: : 99iter [00:10, 12.18iter/s]
[ITER 100] Best: 479.1369
[PARAMS] Current best parameters:
  fx: 664.0610
  fy: 643.1818
  px: 979.4822
  py: 779.4232
  k1: -0.27755260
  k2: 0.15658099
  k3: -0.06753191
  k4: 0.03837494
  p1: -0.00350914
  p2: 0.01557953
  p3: 0.00785742
  p4: 0.02608446
  s1: -0.0309
  s2: 0.0210
  s3: -0.0184
  s4: 0.0040
  tilt_x: -0.0266
  tilt_y: 0.0735
  scale: 3.1092
  rotation: 1.5954

Best score: 479.1369: : 99iter [00:10, 12.18iter/s]
Best score: 479.1369: : 100iter [00:10, 12.18iter/s]
Best score: 479.1369: : 101iter [00:10, 10.39iter/s]
Best score: 479.1369: : 101iter [00:10, 10.39iter/s]
Best score: 479.1369: : 102iter [00:10, 10.39iter/s]
Best score: 479.1369: : 103iter [00:10, 10.83iter/s]
Best score: 479.1369: : 103iter [00:10, 10.83iter/s]
Best score: 479.1369: : 104iter [00:10, 10.83iter/s]
Best score: 479.1369: : 105iter [00:10, 11.16iter/s]
Best score: 479.1369: : 105iter [00:10, 11.16iter/s]
Best score: 479.1369: : 106iter [00:10, 11.16iter/s]
Best score: 479.1369: : 107iter [00:10, 11.42iter/s]
Best score: 479.1369: : 107iter [00:10, 11.42iter/s]
Best score: 479.1369: : 108iter [00:11, 11.42iter/s]
Best score: 479.1369: : 109iter [00:11, 11.65iter/s]
Best score: 479.1369: : 109iter [00:11, 11.65iter/s]
Best score: 479.1369: : 110iter [00:11, 11.65iter/s]
Best score: 479.1369: : 111iter [00:11, 11.65iter/s]
Best score: 479.1369: : 111iter [00:11, 11.65iter/s]
Best score: 479.1369: : 112iter [00:11, 11.65iter/s]
Best score: 479.1369: : 113iter [00:11, 11.79iter/s]
Best score: 479.1369: : 113iter [00:11, 11.79iter/s]
Best score: 479.1369: : 114iter [00:11, 11.79iter/s]
Best score: 479.1369: : 115iter [00:11, 11.90iter/s]
Best score: 479.1369: : 115iter [00:11, 11.90iter/s]
Best score: 479.1369: : 116iter [00:11, 11.90iter/s]
Best score: 479.1369: : 117iter [00:11, 11.94iter/s]
Best score: 479.1369: : 117iter [00:11, 11.94iter/s]
Best score: 479.1369: : 118iter [00:11, 11.94iter/s]
Best score: 479.1369: : 119iter [00:11, 11.98iter/s]
Best score: 479.1369: : 119iter [00:11, 11.98iter/s]
Best score: 479.1369: : 120iter [00:12, 11.98iter/s]
Best score: 479.1369: : 121iter [00:12, 11.80iter/s]
Best score: 479.1369: : 121iter [00:12, 11.80iter/s]
Best score: 479.1369: : 122iter [00:12, 11.80iter/s]
Best score: 479.1369: : 123iter [00:12, 11.92iter/s]
Best score: 479.1369: : 123iter [00:12, 11.92iter/s]
Best score: 479.1369: : 124iter [00:12, 11.92iter/s]
Best score: 479.1369: : 125iter [00:12, 12.00iter/s]
Best score: 479.1369: : 125iter [00:12, 12.00iter/s]
Best score: 479.1369: : 126iter [00:12, 12.00iter/s]
Best score: 479.1369: : 127iter [00:12, 11.99iter/s]
Best score: 479.1369: : 127iter [00:12, 11.99iter/s]
Best score: 479.1369: : 128iter [00:12, 11.99iter/s]
Best score: 479.1369: : 129iter [00:12, 12.04iter/s]
Best score: 479.1369: : 129iter [00:12, 12.04iter/s]
Best score: 479.1369: : 130iter [00:12, 12.04iter/s]
Best score: 479.1369: : 131iter [00:12, 11.92iter/s]
Best score: 479.1369: : 131iter [00:12, 11.92iter/s]
Best score: 479.1369: : 132iter [00:13, 11.92iter/s]
Best score: 479.1369: : 133iter [00:13, 11.96iter/s]
Best score: 479.1369: : 133iter [00:13, 11.96iter/s]
Best score: 479.1369: : 134iter [00:13, 11.96iter/s]
Best score: 479.1369: : 135iter [00:13, 11.99iter/s]
Best score: 479.1369: : 135iter [00:13, 11.99iter/s]
Best score: 479.1369: : 136iter [00:13, 11.99iter/s]
Best score: 479.1369: : 137iter [00:13, 12.07iter/s]
Best score: 479.1369: : 137iter [00:13, 12.07iter/s]
Best score: 479.1369: : 138iter [00:13, 12.07iter/s]
Best score: 479.1369: : 139iter [00:13, 12.11iter/s]
Best score: 479.1369: : 139iter [00:13, 12.11iter/s]
Best score: 479.1369: : 140iter [00:13, 12.11iter/s]
Best score: 479.1369: : 141iter [00:13, 11.95iter/s]
Best score: 479.1369: : 141iter [00:13, 11.95iter/s]
Best score: 479.1369: : 142iter [00:13, 11.95iter/s]
Best score: 479.1369: : 143iter [00:13, 11.99iter/s]
Best score: 479.1369: : 143iter [00:13, 11.99iter/s]
Best score: 479.1369: : 144iter [00:14, 11.99iter/s]
Best score: 479.1369: : 145iter [00:14, 12.01iter/s]
Best score: 479.1369: : 145iter [00:14, 12.01iter/s]
Best score: 479.1369: : 146iter [00:14, 12.01iter/s]
Best score: 479.1369: : 147iter [00:14, 11.96iter/s]
Best score: 479.1369: : 147iter [00:14, 11.96iter/s]
Best score: 479.1369: : 148iter [00:14, 11.96iter/s]
Best score: 479.1369: : 149iter [00:14, 12.04iter/s]
[ITER 150] Best: 479.1369
[PARAMS] Current best parameters:
  fx: 664.0610
  fy: 643.1818
  px: 979.4822
  py: 779.4232
  k1: -0.27755260
  k2: 0.15658099
  k3: -0.06753191
  k4: 0.03837494
  p1: -0.00350914
  p2: 0.01557953
  p3: 0.00785742
  p4: 0.02608446
  s1: -0.0309
  s2: 0.0210
  s3: -0.0184
  s4: 0.0040
  tilt_x: -0.0266
  tilt_y: 0.0735
  scale: 3.1092
  rotation: 1.5954

Best score: 479.1369: : 149iter [00:14, 12.04iter/s]
[Periodic outlier @ iter 50] Removing 1500 frame 0 (score=39446.78, threshold=4476.87)
  Remaining frames: 77

Best score: 479.1369: : 150iter [00:14, 12.04iter/s]
Best score: 479.1369: : 151iter [00:14,  6.78iter/s]
Best score: 479.1369: : 151iter [00:15,  6.78iter/s]
Best score: 479.1369: : 152iter [00:15,  6.78iter/s]
Best score: 479.1369: : 153iter [00:15,  7.81iter/s]
Best score: 479.1369: : 153iter [00:15,  7.81iter/s]
Best score: 479.1369: : 154iter [00:15,  7.81iter/s]
Best score: 479.1369: : 155iter [00:15,  8.72iter/s]
Best score: 479.1369: : 155iter [00:15,  8.72iter/s]
Best score: 479.1369: : 156iter [00:15,  8.72iter/s]
Best score: 479.1369: : 157iter [00:15,  9.52iter/s]
Best score: 479.1369: : 157iter [00:15,  9.52iter/s]
Best score: 479.1369: : 158iter [00:15,  9.52iter/s]
Best score: 479.1369: : 159iter [00:15, 10.18iter/s]
Best score: 304.1035: : 159iter [00:15, 10.18iter/s]
Best score: 304.1035: : 160iter [00:15, 10.18iter/s]
Best score: 304.1035: : 161iter [00:15, 10.52iter/s]
Best score: 304.1035: : 161iter [00:15, 10.52iter/s]
Best score: 304.1035: : 162iter [00:15, 10.52iter/s]
Best score: 304.1035: : 163iter [00:15, 10.99iter/s]
Best score: 304.1035: : 163iter [00:16, 10.99iter/s]
Best score: 304.1035: : 164iter [00:16, 10.99iter/s]
Best score: 304.1035: : 165iter [00:16, 11.34iter/s]
Best score: 304.1035: : 165iter [00:16, 11.34iter/s]
Best score: 304.1035: : 166iter [00:16, 11.34iter/s]
Best score: 304.1035: : 167iter [00:16, 11.60iter/s]
Best score: 304.1035: : 167iter [00:16, 11.60iter/s]
Best score: 304.1035: : 168iter [00:16, 11.60iter/s]
Best score: 304.1035: : 169iter [00:16, 11.82iter/s]
Best score: 304.1035: : 169iter [00:16, 11.82iter/s]
Best score: 304.1035: : 170iter [00:16, 11.82iter/s]
Best score: 304.1035: : 171iter [00:16, 11.69iter/s]
Best score: 304.1035: : 171iter [00:16, 11.69iter/s]
Best score: 304.1035: : 172iter [00:16, 11.69iter/s]
Best score: 304.1035: : 173iter [00:16, 11.81iter/s]
Best score: 304.1035: : 173iter [00:16, 11.81iter/s]
Best score: 304.1035: : 174iter [00:16, 11.81iter/s]
Best score: 304.1035: : 175iter [00:16, 11.88iter/s]
Best score: 304.1035: : 175iter [00:17, 11.88iter/s]
Best score: 304.1035: : 176iter [00:17, 11.88iter/s]
Best score: 304.1035: : 177iter [00:17, 11.95iter/s]
Best score: 304.1035: : 177iter [00:17, 11.95iter/s]
Best score: 304.1035: : 178iter [00:17, 11.95iter/s]
Best score: 304.1035: : 179iter [00:17, 12.00iter/s]
Best score: 232.2789: : 179iter [00:17, 12.00iter/s]
Best score: 232.2789: : 180iter [00:17, 12.00iter/s]
Best score: 232.2789: : 181iter [00:17, 11.90iter/s]
Best score: 232.2789: : 181iter [00:17, 11.90iter/s]
Best score: 232.2789: : 182iter [00:17, 11.90iter/s]
Best score: 232.2789: : 183iter [00:17, 11.98iter/s]
Best score: 232.2789: : 183iter [00:17, 11.98iter/s]
Best score: 232.2789: : 184iter [00:17, 11.98iter/s]
Best score: 232.2789: : 185iter [00:17, 12.00iter/s]
Best score: 232.2789: : 185iter [00:17, 12.00iter/s]
Best score: 232.2789: : 186iter [00:17, 12.00iter/s]
Best score: 232.2789: : 187iter [00:17, 12.06iter/s]
Best score: 232.2789: : 187iter [00:18, 12.06iter/s]
Best score: 232.2789: : 188iter [00:18, 12.06iter/s]
Best score: 232.2789: : 189iter [00:18, 12.08iter/s]
Best score: 232.2789: : 189iter [00:18, 12.08iter/s]
Best score: 232.2789: : 190iter [00:18, 12.08iter/s]
Best score: 232.2789: : 191iter [00:18, 11.93iter/s]
Best score: 232.2789: : 191iter [00:18, 11.93iter/s]
Best score: 232.2789: : 192iter [00:18, 11.93iter/s]
Best score: 232.2789: : 193iter [00:18, 12.00iter/s]
Best score: 232.2789: : 193iter [00:18, 12.00iter/s]
Best score: 232.2789: : 194iter [00:18, 12.00iter/s]
Best score: 232.2789: : 195iter [00:18, 12.08iter/s]
Best score: 232.2789: : 195iter [00:18, 12.08iter/s]
Best score: 232.2789: : 196iter [00:18, 12.08iter/s]
Best score: 232.2789: : 197iter [00:18, 12.12iter/s]
Best score: 232.2789: : 197iter [00:18, 12.12iter/s]
Best score: 232.2789: : 198iter [00:18, 12.12iter/s]
Best score: 232.2789: : 199iter [00:18, 12.15iter/s]
[ITER 200] Best: 91.1594
[PARAMS] Current best parameters:
  fx: 674.5782
  fy: 688.0471
  px: 1004.9105
  py: 781.6643
  k1: -0.21299299
  k2: 0.13226903
  k3: -0.08814871
  k4: 0.02738462
  p1: 0.00750432
  p2: 0.01712670
  p3: -0.01798956
  p4: 0.01669567
  s1: 0.0147
  s2: 0.0401
  s3: 0.0112
  s4: 0.0063
  tilt_x: -0.0240
  tilt_y: -0.0017
  scale: 2.9591
  rotation: -0.8550

Best score: 91.1594: : 199iter [00:19, 12.15iter/s] 
[Periodic outlier @ iter 100] Removing 2000L frame 7 (score=549.59, threshold=483.47)
  Remaining frames: 76

Best score: 91.1594: : 200iter [00:19, 12.15iter/s]
Best score: 91.1594: : 201iter [00:19,  6.81iter/s]
Best score: 91.1594: : 201iter [00:19,  6.81iter/s]
Best score: 91.1594: : 202iter [00:19,  6.81iter/s]
Best score: 91.1594: : 203iter [00:19,  7.85iter/s]
Best score: 91.1594: : 203iter [00:19,  7.85iter/s]
Best score: 91.1594: : 204iter [00:19,  7.85iter/s]
Best score: 91.1594: : 205iter [00:19,  8.80iter/s]
Best score: 91.1594: : 205iter [00:19,  8.80iter/s]
Best score: 91.1594: : 206iter [00:20,  8.80iter/s]
Best score: 91.1594: : 207iter [00:20,  9.61iter/s]
Best score: 91.1594: : 207iter [00:20,  9.61iter/s]
Best score: 91.1594: : 208iter [00:20,  9.61iter/s]
Best score: 91.1594: : 209iter [00:20, 10.29iter/s]
Best score: 82.7093: : 209iter [00:20, 10.29iter/s]
Best score: 82.7093: : 210iter [00:20, 10.29iter/s]
Best score: 82.7093: : 211iter [00:20, 10.68iter/s]
Best score: 82.7093: : 211iter [00:20, 10.68iter/s]
Best score: 82.7093: : 212iter [00:20, 10.68iter/s]
Best score: 82.7093: : 213iter [00:20, 11.10iter/s]
Best score: 82.7093: : 213iter [00:20, 11.10iter/s]
Best score: 82.7093: : 214iter [00:20, 11.10iter/s]
Best score: 82.7093: : 215iter [00:20,  9.26iter/s]
Best score: 82.7093: : 215iter [00:20,  9.26iter/s]
Best score: 82.7093: : 216iter [00:20,  9.26iter/s]
Best score: 82.7093: : 217iter [00:20, 10.01iter/s]
Best score: 82.7093: : 217iter [00:21, 10.01iter/s]
Best score: 82.7093: : 218iter [00:21, 10.01iter/s]
Best score: 82.7093: : 219iter [00:21, 10.60iter/s]
Best score: 82.7093: : 219iter [00:21, 10.60iter/s]
Best score: 82.7093: : 220iter [00:21, 10.60iter/s]
Best score: 82.7093: : 221iter [00:21, 10.90iter/s]
Best score: 82.7093: : 221iter [00:21, 10.90iter/s]
Best score: 82.7093: : 222iter [00:21, 10.90iter/s]
Best score: 82.7093: : 223iter [00:21, 11.28iter/s]
Best score: 82.7093: : 223iter [00:21, 11.28iter/s]
Best score: 82.7093: : 224iter [00:21, 11.28iter/s]
Best score: 82.7093: : 225iter [00:21, 11.55iter/s]
Best score: 82.7093: : 225iter [00:21, 11.55iter/s]
Best score: 82.7093: : 226iter [00:21, 11.55iter/s]
Best score: 82.7093: : 227iter [00:21, 11.76iter/s]
Best score: 82.7093: : 227iter [00:21, 11.76iter/s]
Best score: 82.7093: : 228iter [00:21, 11.76iter/s]
Best score: 82.7093: : 229iter [00:21, 11.90iter/s]
Best score: 82.7093: : 229iter [00:22, 11.90iter/s]
Best score: 82.7093: : 230iter [00:22, 11.90iter/s]
Best score: 82.7093: : 231iter [00:22, 11.83iter/s]
Best score: 82.7093: : 231iter [00:22, 11.83iter/s]
Best score: 82.7093: : 232iter [00:22, 11.83iter/s]
Best score: 82.7093: : 233iter [00:22, 11.95iter/s]
Best score: 82.7093: : 233iter [00:22, 11.95iter/s]
Best score: 82.7093: : 234iter [00:22, 11.95iter/s]
Best score: 82.7093: : 235iter [00:22, 12.08iter/s]
Best score: 82.7093: : 235iter [00:22, 12.08iter/s]
Best score: 82.7093: : 236iter [00:22, 12.08iter/s]
Best score: 82.7093: : 237iter [00:22, 12.17iter/s]
Best score: 82.7093: : 237iter [00:22, 12.17iter/s]
Best score: 82.7093: : 238iter [00:22, 12.17iter/s]
Best score: 82.7093: : 239iter [00:22, 12.23iter/s]
Best score: 82.7093: : 239iter [00:22, 12.23iter/s]
Best score: 82.7093: : 240iter [00:22, 12.23iter/s]
Best score: 82.7093: : 241iter [00:22, 12.04iter/s]
Best score: 82.7093: : 241iter [00:23, 12.04iter/s]
Best score: 82.7093: : 242iter [00:23, 12.04iter/s]
Best score: 82.7093: : 243iter [00:23, 12.08iter/s]
Best score: 82.7093: : 243iter [00:23, 12.08iter/s]
Best score: 82.7093: : 244iter [00:23, 12.08iter/s]
Best score: 82.7093: : 245iter [00:23, 12.13iter/s]
Best score: 82.7093: : 245iter [00:23, 12.13iter/s]
Best score: 82.7093: : 246iter [00:23, 12.13iter/s]
Best score: 82.7093: : 247iter [00:23, 12.14iter/s]
Best score: 82.7093: : 247iter [00:23, 12.14iter/s]
Best score: 82.7093: : 248iter [00:23, 12.14iter/s]
Best score: 82.7093: : 249iter [00:23, 12.18iter/s]
[ITER 250] Best: 82.7093
[PARAMS] Current best parameters:
  fx: 674.5782
  fy: 688.0471
  px: 1004.9105
  py: 781.6643
  k1: -0.21299299
  k2: 0.13226903
  k3: -0.08814871
  k4: 0.02738462
  p1: 0.00750432
  p2: 0.01712670
  p3: -0.01798956
  p4: 0.01669567
  s1: 0.0147
  s2: 0.0401
  s3: 0.0112
  s4: 0.0063
  tilt_x: -0.0240
  tilt_y: -0.0017
  scale: 2.9591
  rotation: -0.8550

Best score: 82.7093: : 249iter [00:23, 12.18iter/s]
[Periodic outlier @ iter 150] Removing 2000L frame 8 (score=548.34, threshold=483.00)
  Remaining frames: 75

Best score: 82.7093: : 250iter [00:24, 12.18iter/s]
Best score: 82.7093: : 251iter [00:24,  6.88iter/s]
Best score: 82.7093: : 251iter [00:24,  6.88iter/s]
Best score: 82.7093: : 252iter [00:24,  6.88iter/s]
Best score: 82.7093: : 253iter [00:24,  7.93iter/s]
Best score: 82.7093: : 253iter [00:24,  7.93iter/s]
Best score: 82.7093: : 254iter [00:24,  7.93iter/s]
Best score: 82.7093: : 255iter [00:24,  8.89iter/s]
Best score: 82.7093: : 255iter [00:24,  8.89iter/s]
Best score: 82.7093: : 256iter [00:24,  8.89iter/s]
Best score: 82.7093: : 257iter [00:24,  9.72iter/s]
Best score: 82.7093: : 257iter [00:24,  9.72iter/s]
Best score: 82.7093: : 258iter [00:24,  9.72iter/s]
Best score: 82.7093: : 259iter [00:24, 10.40iter/s]
Best score: 74.0749: : 259iter [00:24, 10.40iter/s]
Best score: 74.0749: : 260iter [00:25, 10.40iter/s]
Best score: 74.0749: : 261iter [00:25, 10.77iter/s]
Best score: 74.0749: : 261iter [00:25, 10.77iter/s]
Best score: 74.0749: : 262iter [00:25, 10.77iter/s]
Best score: 74.0749: : 263iter [00:25, 11.21iter/s]
Best score: 74.0749: : 263iter [00:25, 11.21iter/s]
Best score: 74.0749: : 264iter [00:25, 11.21iter/s]
Best score: 74.0749: : 265iter [00:25, 11.58iter/s]
Best score: 74.0749: : 265iter [00:25, 11.58iter/s]
Best score: 74.0749: : 266iter [00:25, 11.58iter/s]
Best score: 74.0749: : 267iter [00:25, 11.81iter/s]
Best score: 74.0749: : 267iter [00:25, 11.81iter/s]
Best score: 74.0749: : 268iter [00:25, 11.81iter/s]
Best score: 74.0749: : 269iter [00:25, 11.99iter/s]
Best score: 74.0749: : 269iter [00:25, 11.99iter/s]
Best score: 74.0749: : 270iter [00:25, 11.99iter/s]
Best score: 74.0749: : 271iter [00:25, 11.93iter/s]
Best score: 74.0749: : 271iter [00:25, 11.93iter/s]
Best score: 74.0749: : 272iter [00:25, 11.93iter/s]
Best score: 74.0749: : 273iter [00:25, 12.07iter/s]
Best score: 74.0749: : 273iter [00:26, 12.07iter/s]
Best score: 74.0749: : 274iter [00:26, 12.07iter/s]
Best score: 74.0749: : 275iter [00:26, 12.21iter/s]
Best score: 74.0749: : 275iter [00:26, 12.21iter/s]
Best score: 74.0749: : 276iter [00:26, 12.21iter/s]
Best score: 74.0749: : 277iter [00:26, 12.28iter/s]
Best score: 74.0749: : 277iter [00:26, 12.28iter/s]
Best score: 74.0749: : 278iter [00:26, 12.28iter/s]
Best score: 74.0749: : 279iter [00:26, 12.27iter/s]
Best score: 74.0749: : 279iter [00:26, 12.27iter/s]
Best score: 74.0749: : 280iter [00:26, 12.27iter/s]
Best score: 74.0749: : 281iter [00:26, 12.09iter/s]
Best score: 74.0749: : 281iter [00:26, 12.09iter/s]
Best score: 74.0749: : 282iter [00:26, 12.09iter/s]
Best score: 74.0749: : 283iter [00:26, 12.19iter/s]
Best score: 74.0749: : 283iter [00:26, 12.19iter/s]
Best score: 74.0749: : 284iter [00:26, 12.19iter/s]
Best score: 74.0749: : 285iter [00:26, 12.24iter/s]
Best score: 74.0749: : 285iter [00:27, 12.24iter/s]
Best score: 74.0749: : 286iter [00:27, 12.24iter/s]
Best score: 74.0749: : 287iter [00:27, 12.34iter/s]
Best score: 74.0749: : 287iter [00:27, 12.34iter/s]
Best score: 74.0749: : 288iter [00:27, 12.34iter/s]
Best score: 74.0749: : 289iter [00:27, 12.34iter/s]
Best score: 74.0749: : 289iter [00:27, 12.34iter/s]
Best score: 74.0749: : 290iter [00:27, 12.34iter/s]
Best score: 74.0749: : 291iter [00:27, 12.11iter/s]
Best score: 74.0749: : 291iter [00:27, 12.11iter/s]
Best score: 74.0749: : 292iter [00:27, 12.11iter/s]
Best score: 74.0749: : 293iter [00:27, 12.18iter/s]
Best score: 74.0749: : 293iter [00:27, 12.18iter/s]
Best score: 74.0749: : 294iter [00:27, 12.18iter/s]
Best score: 74.0749: : 295iter [00:27, 12.27iter/s]
Best score: 74.0749: : 295iter [00:27, 12.27iter/s]
Best score: 74.0749: : 296iter [00:27, 12.27iter/s]
Best score: 74.0749: : 297iter [00:27, 12.31iter/s]
Best score: 74.0749: : 297iter [00:28, 12.31iter/s]
Best score: 74.0749: : 298iter [00:28, 12.31iter/s]
Best score: 74.0749: : 299iter [00:28, 12.34iter/s]
[ITER 300] Best: 74.0749
[PARAMS] Current best parameters:
  fx: 674.5782
  fy: 688.0471
  px: 1004.9105
  py: 781.6643
  k1: -0.21299299
  k2: 0.13226903
  k3: -0.08814871
  k4: 0.02738462
  p1: 0.00750432
  p2: 0.01712670
  p3: -0.01798956
  p4: 0.01669567
  s1: 0.0147
  s2: 0.0401
  s3: 0.0112
  s4: 0.0063
  tilt_x: -0.0240
  tilt_y: -0.0017
  scale: 2.9591
  rotation: -0.8550

Best score: 74.0749: : 299iter [00:28, 12.34iter/s]
[Periodic outlier @ iter 200] Removing 2000L frame 9 (score=497.26, threshold=463.48)
  Remaining frames: 74

Best score: 74.0749: : 300iter [00:28, 12.34iter/s]
Best score: 74.0749: : 301iter [00:28,  6.93iter/s]
Best score: 74.0749: : 301iter [00:28,  6.93iter/s]
Best score: 74.0749: : 302iter [00:28,  6.93iter/s]
Best score: 74.0749: : 303iter [00:28,  8.00iter/s]
Best score: 74.0749: : 303iter [00:28,  8.00iter/s]
Best score: 74.0749: : 304iter [00:29,  8.00iter/s]
Best score: 74.0749: : 305iter [00:29,  8.97iter/s]
Best score: 74.0749: : 305iter [00:29,  8.97iter/s]
Best score: 74.0749: : 306iter [00:29,  8.97iter/s]
Best score: 74.0749: : 307iter [00:29,  9.81iter/s]
Best score: 74.0749: : 307iter [00:29,  9.81iter/s]
Best score: 74.0749: : 308iter [00:29,  9.81iter/s]
Best score: 74.0749: : 309iter [00:29, 10.54iter/s]
Best score: 65.8898: : 309iter [00:29, 10.54iter/s]
Best score: 65.8898: : 310iter [00:29, 10.54iter/s]
Best score: 65.8898: : 311iter [00:29, 10.90iter/s]
Best score: 65.8898: : 311iter [00:29, 10.90iter/s]
Best score: 65.8898: : 312iter [00:29, 10.90iter/s]
Best score: 65.8898: : 313iter [00:29, 11.33iter/s]
Best score: 65.8898: : 313iter [00:29, 11.33iter/s]
Best score: 65.8898: : 314iter [00:29, 11.33iter/s]
Best score: 65.8898: : 315iter [00:29, 11.66iter/s]
Best score: 65.8898: : 315iter [00:29, 11.66iter/s]
Best score: 65.8898: : 316iter [00:29, 11.66iter/s]
Best score: 65.8898: : 317iter [00:29, 11.95iter/s]
Best score: 65.8898: : 317iter [00:30, 11.95iter/s]
Best score: 65.8898: : 318iter [00:30, 11.95iter/s]
Best score: 65.8898: : 319iter [00:30, 12.13iter/s]
Best score: 65.8898: : 319iter [00:30, 12.13iter/s]
Best score: 65.8898: : 320iter [00:30, 12.13iter/s]
Best score: 65.8898: : 321iter [00:30, 12.08iter/s]
Best score: 65.8898: : 321iter [00:30, 12.08iter/s]
Best score: 65.8898: : 322iter [00:30, 12.08iter/s]
Best score: 65.8898: : 323iter [00:30, 12.23iter/s]
Best score: 65.8898: : 323iter [00:30, 12.23iter/s]
Best score: 65.8898: : 324iter [00:30, 12.23iter/s]
Best score: 65.8898: : 325iter [00:30, 12.37iter/s]
Best score: 65.8898: : 325iter [00:30, 12.37iter/s]
Best score: 65.8898: : 326iter [00:30, 12.37iter/s]
Best score: 65.8898: : 327iter [00:30, 12.46iter/s]
Best score: 65.8898: : 327iter [00:30, 12.46iter/s]
Best score: 65.8898: : 328iter [00:30, 12.46iter/s]
Best score: 65.8898: : 329iter [00:30, 12.49iter/s]
Best score: 65.8898: : 329iter [00:31, 12.49iter/s]
Best score: 65.8898: : 330iter [00:31, 12.49iter/s]
Best score: 65.8898: : 331iter [00:31, 12.32iter/s]
Best score: 65.8898: : 331iter [00:31, 12.32iter/s]
Best score: 65.8898: : 332iter [00:31, 12.32iter/s]
Best score: 65.8898: : 333iter [00:31, 12.42iter/s]
Best score: 65.8898: : 333iter [00:31, 12.42iter/s]
Best score: 65.8898: : 334iter [00:31, 12.42iter/s]
Best score: 65.8898: : 335iter [00:31, 12.46iter/s]
Best score: 65.8898: : 335iter [00:31, 12.46iter/s]
Best score: 65.8898: : 336iter [00:31, 12.46iter/s]
Best score: 65.8898: : 337iter [00:31, 12.50iter/s]
Best score: 65.8898: : 337iter [00:31, 12.50iter/s]
Best score: 65.8898: : 338iter [00:31, 12.50iter/s]
Best score: 65.8898: : 339iter [00:31, 12.52iter/s]
Best score: 65.8898: : 339iter [00:31, 12.52iter/s]
Best score: 65.8898: : 340iter [00:31, 12.52iter/s]
Best score: 65.8898: : 341iter [00:31, 12.37iter/s]
Best score: 65.8898: : 341iter [00:31, 12.37iter/s]
Best score: 65.8898: : 342iter [00:32, 12.37iter/s]
Best score: 65.8898: : 343iter [00:32, 12.47iter/s]
Best score: 65.8898: : 343iter [00:32, 12.47iter/s]
Best score: 65.8898: : 344iter [00:32, 12.47iter/s]
Best score: 65.8898: : 345iter [00:32, 12.53iter/s]
Best score: 65.8898: : 345iter [00:32, 12.53iter/s]
Best score: 65.8898: : 346iter [00:32, 12.53iter/s]
Best score: 65.8898: : 347iter [00:32, 12.54iter/s]
Best score: 65.8898: : 347iter [00:32, 12.54iter/s]
Best score: 65.8898: : 348iter [00:32, 12.54iter/s]
Best score: 65.8898: : 349iter [00:32, 12.55iter/s]
[ITER 350] Best: 65.8898
[PARAMS] Current best parameters:
  fx: 674.5782
  fy: 688.0471
  px: 1004.9105
  py: 781.6643
  k1: -0.21299299
  k2: 0.13226903
  k3: -0.08814871
  k4: 0.02738462
  p1: 0.00750432
  p2: 0.01712670
  p3: -0.01798956
  p4: 0.01669567
  s1: 0.0147
  s2: 0.0401
  s3: 0.0112
  s4: 0.0063
  tilt_x: -0.0240
  tilt_y: -0.0017
  scale: 2.9591
  rotation: -0.8550

Best score: 65.8898: : 349iter [00:32, 12.55iter/s]
[Periodic outlier @ iter 250] Removing 2000L frame 6 (score=449.68, threshold=441.08)
  Remaining frames: 73

Best score: 65.8898: : 350iter [00:33, 12.55iter/s]
Best score: 65.8898: : 351iter [00:33,  7.02iter/s]
Best score: 65.8898: : 351iter [00:33,  7.02iter/s]
Best score: 65.8898: : 352iter [00:33,  7.02iter/s]
Best score: 65.8898: : 353iter [00:33,  8.12iter/s]
Best score: 65.8898: : 353iter [00:33,  8.12iter/s]
Best score: 65.8898: : 354iter [00:33,  8.12iter/s]
Best score: 65.8898: : 355iter [00:33,  9.13iter/s]
Best score: 65.8898: : 355iter [00:33,  9.13iter/s]
Best score: 65.8898: : 356iter [00:33,  9.13iter/s]
Best score: 65.8898: : 357iter [00:33,  9.97iter/s]
Best score: 65.8898: : 357iter [00:33,  9.97iter/s]
Best score: 65.8898: : 358iter [00:33,  9.97iter/s]
Best score: 65.8898: : 359iter [00:33, 10.67iter/s]
Best score: 58.3976: : 359iter [00:33, 10.67iter/s]
Best score: 58.3976: : 360iter [00:33, 10.67iter/s]
Best score: 58.3976: : 361iter [00:33, 11.06iter/s]
Best score: 58.3976: : 361iter [00:33, 11.06iter/s]
Best score: 58.3976: : 362iter [00:34, 11.06iter/s]
Best score: 58.3976: : 363iter [00:34, 11.55iter/s]
Best score: 58.3976: : 363iter [00:34, 11.55iter/s]
Best score: 58.3976: : 364iter [00:34, 11.55iter/s]
Best score: 58.3976: : 365iter [00:34, 11.95iter/s]
Best score: 58.3976: : 365iter [00:34, 11.95iter/s]
Best score: 58.3976: : 366iter [00:34, 11.95iter/s]
Best score: 58.3976: : 367iter [00:34, 12.18iter/s]
Best score: 58.3976: : 367iter [00:34, 12.18iter/s]
Best score: 58.3976: : 368iter [00:34, 12.18iter/s]
Best score: 58.3976: : 369iter [00:34, 12.37iter/s]
Best score: 58.3976: : 369iter [00:34, 12.37iter/s]
Best score: 58.3976: : 370iter [00:34, 12.37iter/s]
Best score: 58.3976: : 371iter [00:34, 12.30iter/s]
Best score: 58.3976: : 371iter [00:34, 12.30iter/s]
Best score: 58.3976: : 372iter [00:34, 12.30iter/s]
Best score: 58.3976: : 373iter [00:34, 12.47iter/s]
Best score: 58.3976: : 373iter [00:34, 12.47iter/s]
Best score: 58.3976: : 374iter [00:35, 12.47iter/s]
Best score: 58.3976: : 375iter [00:35, 12.57iter/s]
Best score: 58.3976: : 375iter [00:35, 12.57iter/s]
Best score: 58.3976: : 376iter [00:35, 12.57iter/s]
Best score: 58.3976: : 377iter [00:35, 12.65iter/s]
Best score: 58.3976: : 377iter [00:35, 12.65iter/s]
Best score: 58.3976: : 378iter [00:35, 12.65iter/s]
Best score: 58.3976: : 379iter [00:35, 12.73iter/s]
Best score: 58.3976: : 379iter [00:35, 12.73iter/s]
Best score: 58.3976: : 380iter [00:35, 12.73iter/s]
Best score: 58.3976: : 381iter [00:35, 12.54iter/s]
Best score: 58.3976: : 381iter [00:35, 12.54iter/s]
Best score: 58.3976: : 382iter [00:35, 12.54iter/s]
Best score: 58.3976: : 383iter [00:35, 12.61iter/s]
Best score: 58.3976: : 383iter [00:35, 12.61iter/s]
Best score: 58.3976: : 384iter [00:35, 12.61iter/s]
Best score: 58.3976: : 385iter [00:35, 12.72iter/s]
Best score: 58.3976: : 385iter [00:35, 12.72iter/s]
Best score: 58.3976: : 386iter [00:35, 12.72iter/s]
Best score: 58.3976: : 387iter [00:35, 12.73iter/s]
Best score: 58.3976: : 387iter [00:36, 12.73iter/s]
Best score: 58.3976: : 388iter [00:36, 12.73iter/s]
Best score: 58.3976: : 389iter [00:36, 12.76iter/s]
Best score: 58.3976: : 389iter [00:36, 12.76iter/s]
Best score: 58.3976: : 390iter [00:36, 12.76iter/s]
Best score: 58.3976: : 391iter [00:36, 12.56iter/s]
Best score: 58.3976: : 391iter [00:36, 12.56iter/s]
Best score: 58.3976: : 392iter [00:36, 12.56iter/s]
Best score: 58.3976: : 393iter [00:36, 12.64iter/s]
Best score: 58.3976: : 393iter [00:36, 12.64iter/s]
Best score: 58.3976: : 394iter [00:36, 12.64iter/s]
Best score: 58.3976: : 395iter [00:36, 12.68iter/s]
Best score: 58.3976: : 395iter [00:36, 12.68iter/s]
Best score: 58.3976: : 396iter [00:36, 12.68iter/s]
Best score: 58.3976: : 397iter [00:36, 12.77iter/s]
Best score: 58.3976: : 397iter [00:36, 12.77iter/s]
Best score: 58.3976: : 398iter [00:36, 12.77iter/s]
Best score: 58.3976: : 399iter [00:36, 12.84iter/s]
[ITER 400] Best: 58.3976
[PARAMS] Current best parameters:
  fx: 674.5782
  fy: 688.0471
  px: 1004.9105
  py: 781.6643
  k1: -0.21299299
  k2: 0.13226903
  k3: -0.08814871
  k4: 0.02738462
  p1: 0.00750432
  p2: 0.01712670
  p3: -0.01798956
  p4: 0.01669567
  s1: 0.0147
  s2: 0.0401
  s3: 0.0112
  s4: 0.0063
  tilt_x: -0.0240
  tilt_y: -0.0017
  scale: 2.9591
  rotation: -0.8550

Best score: 58.3976: : 399iter [00:36, 12.84iter/s]
Best score: 58.3976: : 400iter [00:37, 12.84iter/s]
Best score: 58.3976: : 401iter [00:37,  8.19iter/s]
Best score: 58.3976: : 401iter [00:37,  8.19iter/s]
Best score: 58.3976: : 402iter [00:37,  8.19iter/s]
Best score: 58.3976: : 403iter [00:37,  9.20iter/s]
Best score: 58.3976: : 403iter [00:37,  9.20iter/s]
Best score: 58.3976: : 404iter [00:37,  9.20iter/s]
Best score: 58.3976: : 405iter [00:37, 10.05iter/s]
Best score: 58.3976: : 405iter [00:37, 10.05iter/s]
Best score: 58.3976: : 406iter [00:37, 10.05iter/s]
Best score: 58.3976: : 407iter [00:37, 10.73iter/s]
Best score: 58.3976: : 407iter [00:37, 10.73iter/s]
Best score: 58.3976: : 408iter [00:37, 10.73iter/s]
Best score: 58.3976: : 409iter [00:37, 11.33iter/s]
Best score: 43.0408: : 409iter [00:38, 11.33iter/s]
Best score: 43.0408: : 410iter [00:38, 11.33iter/s]
Best score: 43.0408: : 411iter [00:38, 11.55iter/s]
Best score: 43.0408: : 411iter [00:38, 11.55iter/s]
Best score: 43.0408: : 412iter [00:38, 11.55iter/s]
Best score: 43.0408: : 413iter [00:38, 11.90iter/s]
Best score: 43.0408: : 413iter [00:38, 11.90iter/s]
Best score: 43.0408: : 414iter [00:38, 11.90iter/s]
Best score: 43.0408: : 415iter [00:38, 12.19iter/s]
Best score: 43.0408: : 415iter [00:38, 12.19iter/s]
Best score: 43.0408: : 416iter [00:38, 12.19iter/s]
Best score: 43.0408: : 417iter [00:38, 12.41iter/s]
Best score: 43.0408: : 417iter [00:38, 12.41iter/s]
Best score: 43.0408: : 418iter [00:38, 12.41iter/s]
Best score: 43.0408: : 419iter [00:38, 12.54iter/s]
Best score: 43.0408: : 419iter [00:38, 12.54iter/s]
Best score: 43.0408: : 420iter [00:38, 12.54iter/s]
Best score: 43.0408: : 421iter [00:38, 12.47iter/s]
Best score: 43.0408: : 421iter [00:38, 12.47iter/s]
Best score: 43.0408: : 422iter [00:39, 12.47iter/s]
Best score: 43.0408: : 423iter [00:39, 12.62iter/s]
Best score: 43.0408: : 423iter [00:39, 12.62iter/s]
Best score: 43.0408: : 424iter [00:39, 12.62iter/s]
Best score: 43.0408: : 425iter [00:39, 12.71iter/s]
Best score: 43.0408: : 425iter [00:39, 12.71iter/s]
Best score: 43.0408: : 426iter [00:39, 12.71iter/s]
Best score: 43.0408: : 427iter [00:39, 12.76iter/s]
Best score: 43.0408: : 427iter [00:39, 12.76iter/s]
Best score: 43.0408: : 428iter [00:39, 12.76iter/s]
Best score: 43.0408: : 429iter [00:39, 12.82iter/s]
Best score: 22.0949: : 429iter [00:39, 12.82iter/s]
Best score: 22.0949: : 430iter [00:39, 12.82iter/s]
Best score: 22.0949: : 431iter [00:39, 12.66iter/s]
Best score: 22.0949: : 431iter [00:39, 12.66iter/s]
Best score: 22.0949: : 432iter [00:39, 12.66iter/s]
Best score: 22.0949: : 433iter [00:39, 12.72iter/s]
Best score: 22.0949: : 433iter [00:39, 12.72iter/s]
Best score: 22.0949: : 434iter [00:40, 12.72iter/s]
Best score: 22.0949: : 435iter [00:40, 12.81iter/s]
Best score: 22.0949: : 435iter [00:40, 12.81iter/s]
Best score: 22.0949: : 436iter [00:40, 12.81iter/s]
Best score: 22.0949: : 437iter [00:40, 12.83iter/s]
Best score: 22.0949: : 437iter [00:40, 12.83iter/s]
Best score: 22.0949: : 438iter [00:40, 12.83iter/s]
Best score: 22.0949: : 439iter [00:40, 12.83iter/s]
Best score: 22.0949: : 439iter [00:40, 12.83iter/s]
Best score: 22.0949: : 440iter [00:40, 12.83iter/s]
Best score: 22.0949: : 441iter [00:40, 12.63iter/s]
Best score: 22.0949: : 441iter [00:40, 12.63iter/s]
Best score: 22.0949: : 442iter [00:40, 12.63iter/s]
Best score: 22.0949: : 443iter [00:40, 12.70iter/s]
Best score: 22.0949: : 443iter [00:40, 12.70iter/s]
Best score: 22.0949: : 444iter [00:40, 12.70iter/s]
Best score: 22.0949: : 445iter [00:40, 12.82iter/s]
Best score: 22.0949: : 445iter [00:40, 12.82iter/s]
Best score: 22.0949: : 446iter [00:40, 12.82iter/s]
Best score: 22.0949: : 447iter [00:40, 12.91iter/s]
Best score: 22.0949: : 447iter [00:41, 12.91iter/s]
Best score: 22.0949: : 448iter [00:41, 12.91iter/s]
Best score: 22.0949: : 449iter [00:41, 12.99iter/s]
[ITER 450] Best: 19.2431
[PARAMS] Current best parameters:
  fx: 667.0455
  fy: 670.8295
  px: 1004.4235
  py: 779.3274
  k1: -0.13273163
  k2: 0.07107215
  k3: -0.09635175
  k4: 0.03967587
  p1: 0.02193775
  p2: 0.00678995
  p3: -0.03433266
  p4: 0.04907931
  s1: -0.0103
  s2: 0.0262
  s3: 0.0054
  s4: 0.0020
  tilt_x: -0.0605
  tilt_y: 0.0225
  scale: 2.9265
  rotation: -0.2567

Best score: 19.2431: : 449iter [00:41, 12.99iter/s]
Best score: 19.2431: : 450iter [00:41, 12.99iter/s]
Best score: 19.2431: : 451iter [00:41,  8.26iter/s]
Best score: 19.2431: : 451iter [00:41,  8.26iter/s]
Best score: 19.2431: : 452iter [00:41,  8.26iter/s]
Best score: 19.2431: : 453iter [00:41,  9.27iter/s]
Best score: 19.2431: : 453iter [00:41,  9.27iter/s]
Best score: 19.2431: : 454iter [00:41,  9.27iter/s]
Best score: 19.2431: : 455iter [00:41, 10.17iter/s]
Best score: 19.2431: : 455iter [00:41, 10.17iter/s]
Best score: 19.2431: : 456iter [00:41, 10.17iter/s]
Best score: 19.2431: : 457iter [00:41, 10.91iter/s]
Best score: 19.2431: : 457iter [00:42, 10.91iter/s]
Best score: 19.2431: : 458iter [00:42, 10.91iter/s]
Best score: 19.2431: : 459iter [00:42, 11.50iter/s]
Best score: 15.0288: : 459iter [00:42, 11.50iter/s]
Best score: 15.0288: : 460iter [00:42, 11.50iter/s]
Best score: 15.0288: : 461iter [00:42, 11.74iter/s]
Best score: 15.0288: : 461iter [00:42, 11.74iter/s]
Best score: 15.0288: : 462iter [00:42, 11.74iter/s]
Best score: 15.0288: : 463iter [00:42, 12.07iter/s]
Best score: 15.0288: : 463iter [00:42, 12.07iter/s]
Best score: 15.0288: : 464iter [00:42, 12.07iter/s]
Best score: 15.0288: : 465iter [00:42, 12.34iter/s]
Best score: 15.0288: : 465iter [00:42, 12.34iter/s]
Best score: 15.0288: : 466iter [00:42, 12.34iter/s]
Best score: 15.0288: : 467iter [00:42, 12.56iter/s]
Best score: 15.0288: : 467iter [00:42, 12.56iter/s]
Best score: 15.0288: : 468iter [00:42, 12.56iter/s]
Best score: 15.0288: : 469iter [00:42, 12.69iter/s]
Best score: 13.4768: : 469iter [00:43, 12.69iter/s]
Best score: 13.4768: : 470iter [00:43, 12.69iter/s]
Best score: 13.4768: : 471iter [00:43, 12.55iter/s]
Best score: 13.4768: : 471iter [00:43, 12.55iter/s]
Best score: 13.4768: : 472iter [00:43, 12.55iter/s]
Best score: 13.4768: : 473iter [00:43, 12.70iter/s]
Best score: 13.4768: : 473iter [00:43, 12.70iter/s]
Best score: 13.4768: : 474iter [00:43, 12.70iter/s]
Best score: 13.4768: : 475iter [00:43, 12.79iter/s]
Best score: 13.4768: : 475iter [00:43, 12.79iter/s]
Best score: 13.4768: : 476iter [00:43, 12.79iter/s]
Best score: 13.4768: : 477iter [00:43, 12.88iter/s]
Best score: 13.4768: : 477iter [00:43, 12.88iter/s]
Best score: 13.4768: : 478iter [00:43, 12.88iter/s]
Best score: 13.4768: : 479iter [00:43, 12.89iter/s]
Best score: 13.4768: : 479iter [00:43, 12.89iter/s]
Best score: 13.4768: : 480iter [00:43, 12.89iter/s]
Best score: 13.4768: : 481iter [00:43, 12.69iter/s]
Best score: 13.4768: : 481iter [00:43, 12.69iter/s]
Best score: 13.4768: : 482iter [00:44, 12.69iter/s]
Best score: 13.4768: : 483iter [00:44, 12.80iter/s]
Best score: 13.4768: : 483iter [00:44, 12.80iter/s]
Best score: 13.4768: : 484iter [00:44, 12.80iter/s]
Best score: 13.4768: : 485iter [00:44, 12.89iter/s]
Best score: 13.4768: : 485iter [00:44, 12.89iter/s]
Best score: 13.4768: : 486iter [00:44, 12.89iter/s]
Best score: 13.4768: : 487iter [00:44, 12.97iter/s]
Best score: 13.4768: : 487iter [00:44, 12.97iter/s]
Best score: 13.4768: : 488iter [00:44, 12.97iter/s]
Best score: 13.4768: : 489iter [00:44, 13.03iter/s]
Best score: 5.3837: : 489iter [00:44, 13.03iter/s] 
Best score: 5.3837: : 490iter [00:44, 13.03iter/s]
Best score: 5.3837: : 491iter [00:44, 12.82iter/s]
Best score: 5.3837: : 491iter [00:44, 12.82iter/s]
Best score: 5.3837: : 492iter [00:44, 12.82iter/s]
Best score: 5.3837: : 493iter [00:44, 12.84iter/s]
Best score: 5.3837: : 493iter [00:44, 12.84iter/s]
Best score: 5.3837: : 494iter [00:44, 12.84iter/s]
Best score: 5.3837: : 495iter [00:44, 12.94iter/s]
Best score: 5.3837: : 495iter [00:45, 12.94iter/s]
Best score: 5.3837: : 496iter [00:45, 12.94iter/s]
Best score: 5.3837: : 497iter [00:45, 12.96iter/s]
Best score: 5.3837: : 497iter [00:45, 12.96iter/s]
Best score: 5.3837: : 498iter [00:45, 12.96iter/s]
Best score: 5.3837: : 499iter [00:45, 12.95iter/s]
[ITER 500] Best: 5.3837
[PARAMS] Current best parameters:
  fx: 666.6461
  fy: 664.9503
  px: 1010.3671
  py: 776.9510
  k1: -0.20200183
  k2: 0.18562510
  k3: -0.14615678
  k4: 0.04361475
  p1: 0.03273208
  p2: 0.01572312
  p3: 0.00225874
  p4: 0.01369802
  s1: -0.0461
  s2: 0.0201
  s3: -0.0244
  s4: -0.0065
  tilt_x: -0.0833
  tilt_y: -0.0094
  scale: 2.9449
  rotation: 0.1538

Best score: 5.3837: : 499iter [00:45, 12.95iter/s]
Best score: 5.3837: : 500iter [00:45, 12.95iter/s]
Best score: 5.3837: : 501iter [00:45,  8.25iter/s]
Best score: 5.3837: : 501iter [00:45,  8.25iter/s]
Best score: 5.3837: : 502iter [00:45,  8.25iter/s]
Best score: 5.3837: : 503iter [00:45,  9.24iter/s]
Best score: 5.3837: : 503iter [00:45,  9.24iter/s]
Best score: 5.3837: : 504iter [00:46,  9.24iter/s]
Best score: 5.3837: : 505iter [00:46, 10.11iter/s]
Best score: 5.3837: : 505iter [00:46, 10.11iter/s]
Best score: 5.3837: : 506iter [00:46, 10.11iter/s]
Best score: 5.3837: : 507iter [00:46, 10.85iter/s]
Best score: 5.3837: : 507iter [00:46, 10.85iter/s]
Best score: 5.3837: : 508iter [00:46, 10.85iter/s]
Best score: 5.3837: : 509iter [00:46, 11.41iter/s]
Best score: 5.3837: : 509iter [00:46, 11.41iter/s]
Best score: 5.3837: : 510iter [00:46, 11.41iter/s]
Best score: 5.3837: : 511iter [00:46, 11.64iter/s]
Best score: 5.3837: : 511iter [00:46, 11.64iter/s]
Best score: 5.3837: : 512iter [00:46, 11.64iter/s]
Best score: 5.3837: : 513iter [00:46, 12.03iter/s]
Best score: 5.3837: : 513iter [00:46, 12.03iter/s]
Best score: 5.3837: : 514iter [00:46, 12.03iter/s]
Best score: 5.3837: : 515iter [00:46, 12.30iter/s]
Best score: 5.3837: : 515iter [00:46, 12.30iter/s]
Best score: 5.3837: : 516iter [00:46, 12.30iter/s]
Best score: 5.3837: : 517iter [00:46, 12.52iter/s]
Best score: 5.3837: : 517iter [00:47, 12.52iter/s]
Best score: 5.3837: : 518iter [00:47, 12.52iter/s]
Best score: 5.3837: : 519iter [00:47, 12.64iter/s]
Best score: 4.8691: : 519iter [00:47, 12.64iter/s]
Best score: 4.8691: : 520iter [00:47, 12.64iter/s]
Best score: 4.8691: : 521iter [00:47, 12.57iter/s]
Best score: 4.8691: : 521iter [00:47, 12.57iter/s]
Best score: 4.8691: : 522iter [00:47, 12.57iter/s]
Best score: 4.8691: : 523iter [00:47, 12.69iter/s]
Best score: 4.8691: : 523iter [00:47, 12.69iter/s]
Best score: 4.8691: : 524iter [00:47, 12.69iter/s]
Best score: 4.8691: : 525iter [00:47, 12.79iter/s]
Best score: 4.8691: : 525iter [00:47, 12.79iter/s]
Best score: 4.8691: : 526iter [00:47, 12.79iter/s]
Best score: 4.8691: : 527iter [00:47, 12.91iter/s]
Best score: 4.8691: : 527iter [00:47, 12.91iter/s]
Best score: 4.8691: : 528iter [00:47, 12.91iter/s]
Best score: 4.8691: : 529iter [00:47, 12.92iter/s]
Best score: 4.5199: : 529iter [00:47, 12.92iter/s]
Best score: 4.5199: : 530iter [00:48, 12.92iter/s]
Best score: 4.5199: : 531iter [00:48, 12.76iter/s]
Best score: 4.5199: : 531iter [00:48, 12.76iter/s]
Best score: 4.5199: : 532iter [00:48, 12.76iter/s]
Best score: 4.5199: : 533iter [00:48, 12.89iter/s]
Best score: 4.5199: : 533iter [00:48, 12.89iter/s]
Best score: 4.5199: : 534iter [00:48, 12.89iter/s]
Best score: 4.5199: : 535iter [00:48, 12.99iter/s]
Best score: 4.5199: : 535iter [00:48, 12.99iter/s]
Best score: 4.5199: : 536iter [00:48, 12.99iter/s]
Best score: 4.5199: : 537iter [00:48, 13.04iter/s]
Best score: 4.5199: : 537iter [00:48, 13.04iter/s]
Best score: 4.5199: : 538iter [00:48, 13.04iter/s]
Best score: 4.5199: : 539iter [00:48, 13.05iter/s]
Best score: 2.8776: : 539iter [00:48, 13.05iter/s]
Best score: 2.8776: : 540iter [00:48, 13.05iter/s]
Best score: 2.8776: : 541iter [00:48, 12.89iter/s]
Best score: 2.8776: : 541iter [00:48, 12.89iter/s]
Best score: 2.8776: : 542iter [00:48, 12.89iter/s]
Best score: 2.8776: : 543iter [00:48, 12.97iter/s]
Best score: 2.8776: : 543iter [00:49, 12.97iter/s]
Best score: 2.8776: : 544iter [00:49, 12.97iter/s]
Best score: 2.8776: : 545iter [00:49, 13.00iter/s]
Best score: 2.8776: : 545iter [00:49, 13.00iter/s]
Best score: 2.8776: : 546iter [00:49, 13.00iter/s]
Best score: 2.8776: : 547iter [00:49, 13.04iter/s]
Best score: 2.8776: : 547iter [00:49, 13.04iter/s]
Best score: 2.8776: : 548iter [00:49, 13.04iter/s]
Best score: 2.8776: : 549iter [00:49, 13.10iter/s]
[ITER 550] Best: 2.8776
[PARAMS] Current best parameters:
  fx: 663.2489
  fy: 662.8724
  px: 1004.6305
  py: 770.4709
  k1: -0.19696514
  k2: 0.16255766
  k3: -0.12143215
  k4: 0.03576269
  p1: 0.00706091
  p2: 0.01258954
  p3: 0.00434468
  p4: 0.01894839
  s1: -0.0245
  s2: -0.0005
  s3: -0.0306
  s4: -0.0046
  tilt_x: -0.0628
  tilt_y: 0.0039
  scale: 2.9669
  rotation: -0.1843

Best score: 2.8776: : 549iter [00:49, 13.10iter/s]
Best score: 2.8776: : 550iter [00:49, 13.10iter/s]
Best score: 2.8776: : 551iter [00:49,  8.29iter/s]
Best score: 2.8776: : 551iter [00:49,  8.29iter/s]
Best score: 2.8776: : 552iter [00:50,  8.29iter/s]
Best score: 2.8776: : 553iter [00:50,  9.32iter/s]
Best score: 2.8776: : 553iter [00:50,  9.32iter/s]
Best score: 2.8776: : 554iter [00:50,  9.32iter/s]
Best score: 2.8776: : 555iter [00:50, 10.21iter/s]
Best score: 2.8776: : 555iter [00:50, 10.21iter/s]
Best score: 2.8776: : 556iter [00:50, 10.21iter/s]
Best score: 2.8776: : 557iter [00:50, 10.92iter/s]
Best score: 2.8776: : 557iter [00:50, 10.92iter/s]
Best score: 2.8776: : 558iter [00:50, 10.92iter/s]
Best score: 2.8776: : 559iter [00:50, 11.54iter/s]
Best score: 2.4817: : 559iter [00:50, 11.54iter/s]
Best score: 2.4817: : 560iter [00:50, 11.54iter/s]
Best score: 2.4817: : 561iter [00:50, 11.72iter/s]
Best score: 2.4817: : 561iter [00:50, 11.72iter/s]
Best score: 2.4817: : 562iter [00:50, 11.72iter/s]
Best score: 2.4817: : 563iter [00:50, 12.07iter/s]
Best score: 2.4817: : 563iter [00:50, 12.07iter/s]
Best score: 2.4817: : 564iter [00:50, 12.07iter/s]
Best score: 2.4817: : 565iter [00:50, 12.35iter/s]
Best score: 2.4817: : 565iter [00:51, 12.35iter/s]
Best score: 2.4817: : 566iter [00:51, 12.35iter/s]
Best score: 2.4817: : 567iter [00:51, 12.59iter/s]
Best score: 2.4817: : 567iter [00:51, 12.59iter/s]
Best score: 2.4817: : 568iter [00:51, 12.59iter/s]
Best score: 2.4817: : 569iter [00:51, 12.75iter/s]
Best score: 1.9810: : 569iter [00:51, 12.75iter/s]
Best score: 1.9810: : 570iter [00:51, 12.75iter/s]
Best score: 1.9810: : 571iter [00:51, 12.68iter/s]
Best score: 1.9810: : 571iter [00:51, 12.68iter/s]
Best score: 1.9810: : 572iter [00:51, 12.68iter/s]
Best score: 1.9810: : 573iter [00:51, 12.84iter/s]
Best score: 1.9810: : 573iter [00:51, 12.84iter/s]
Best score: 1.9810: : 574iter [00:51, 12.84iter/s]
Best score: 1.9810: : 575iter [00:51, 12.91iter/s]
Best score: 1.9810: : 575iter [00:51, 12.91iter/s]
Best score: 1.9810: : 576iter [00:51, 12.91iter/s]
Best score: 1.9810: : 577iter [00:51, 12.98iter/s]
Best score: 1.9810: : 577iter [00:51, 12.98iter/s]
Best score: 1.9810: : 578iter [00:52, 12.98iter/s]
Best score: 1.9810: : 579iter [00:52, 13.05iter/s]
Best score: 1.7801: : 579iter [00:52, 13.05iter/s]
Best score: 1.7801: : 580iter [00:52, 13.05iter/s]
Best score: 1.7801: : 581iter [00:52, 12.88iter/s]
Best score: 1.7801: : 581iter [00:52, 12.88iter/s]
Best score: 1.7801: : 582iter [00:52, 12.88iter/s]
Best score: 1.7801: : 583iter [00:52, 12.98iter/s]
Best score: 1.7801: : 583iter [00:52, 12.98iter/s]
Best score: 1.7801: : 584iter [00:52, 12.98iter/s]
Best score: 1.7801: : 585iter [00:52, 13.06iter/s]
Best score: 1.7801: : 585iter [00:52, 13.06iter/s]
Best score: 1.7801: : 586iter [00:52, 13.06iter/s]
Best score: 1.7801: : 587iter [00:52, 13.10iter/s]
Best score: 1.7801: : 587iter [00:52, 13.10iter/s]
Best score: 1.7801: : 588iter [00:52, 13.10iter/s]
Best score: 1.7801: : 589iter [00:52, 13.08iter/s]
Best score: 1.1488: : 589iter [00:52, 13.08iter/s]
Best score: 1.1488: : 590iter [00:52, 13.08iter/s]
Best score: 1.1488: : 591iter [00:52, 12.88iter/s]
Best score: 1.1488: : 591iter [00:53, 12.88iter/s]
Best score: 1.1488: : 592iter [00:53, 12.88iter/s]
Best score: 1.1488: : 593iter [00:53, 12.94iter/s]
Best score: 1.1488: : 593iter [00:53, 12.94iter/s]
Best score: 1.1488: : 594iter [00:53, 12.94iter/s]
Best score: 1.1488: : 595iter [00:53, 13.04iter/s]
Best score: 1.1488: : 595iter [00:53, 13.04iter/s]
Best score: 1.1488: : 596iter [00:53, 13.04iter/s]
Best score: 1.1488: : 597iter [00:53, 13.06iter/s]
Best score: 1.1488: : 597iter [00:53, 13.06iter/s]
Best score: 1.1488: : 598iter [00:53, 13.06iter/s]
Best score: 1.1488: : 599iter [00:53, 13.08iter/s]
[ITER 600] Best: 1.1488
[PARAMS] Current best parameters:
  fx: 651.3914
  fy: 650.7322
  px: 1000.8539
  py: 764.7028
  k1: -0.23459998
  k2: 0.22492530
  k3: -0.14402318
  k4: 0.03567750
  p1: -0.01555944
  p2: -0.00548403
  p3: 0.02863524
  p4: 0.02147910
  s1: -0.0303
  s2: -0.0169
  s3: -0.0335
  s4: -0.0059
  tilt_x: -0.0535
  tilt_y: -0.0114
  scale: 3.0344
  rotation: 0.2000

Best score: 1.1488: : 599iter [00:53, 13.08iter/s]
Best score: 1.1488: : 600iter [00:53, 13.08iter/s]
Best score: 1.1488: : 601iter [00:53,  8.27iter/s]
Best score: 1.1488: : 601iter [00:54,  8.27iter/s]
Best score: 1.1488: : 602iter [00:54,  8.27iter/s]
Best score: 1.1488: : 603iter [00:54,  9.31iter/s]
Best score: 1.1488: : 603iter [00:54,  9.31iter/s]
Best score: 1.1488: : 604iter [00:54,  9.31iter/s]
Best score: 1.1488: : 605iter [00:54, 10.22iter/s]
Best score: 1.1488: : 605iter [00:54, 10.22iter/s]
Best score: 1.1488: : 606iter [00:54, 10.22iter/s]
Best score: 1.1488: : 607iter [00:54, 10.96iter/s]
Best score: 1.1488: : 607iter [00:54, 10.96iter/s]
Best score: 1.1488: : 608iter [00:54, 10.96iter/s]
Best score: 1.1488: : 609iter [00:54, 11.54iter/s]
Best score: 1.1156: : 609iter [00:54, 11.54iter/s]
Best score: 1.1156: : 610iter [00:54, 11.54iter/s]
Best score: 1.1156: : 611iter [00:54, 11.80iter/s]
Best score: 1.1156: : 611iter [00:54, 11.80iter/s]
Best score: 1.1156: : 612iter [00:54, 11.80iter/s]
Best score: 1.1156: : 613iter [00:54, 12.21iter/s]
Best score: 1.1156: : 613iter [00:54, 12.21iter/s]
Best score: 1.1156: : 614iter [00:55, 12.21iter/s]
Best score: 1.1156: : 615iter [00:55, 12.50iter/s]
Best score: 1.1156: : 615iter [00:55, 12.50iter/s]
Best score: 1.1156: : 616iter [00:55, 12.50iter/s]
Best score: 1.1156: : 617iter [00:55, 12.72iter/s]
Best score: 1.1156: : 617iter [00:55, 12.72iter/s]
Best score: 1.1156: : 618iter [00:55, 12.72iter/s]
Best score: 1.1156: : 619iter [00:55, 12.88iter/s]
Best score: 1.1156: : 619iter [00:55, 12.88iter/s]
Best score: 1.1156: : 620iter [00:55, 12.88iter/s]
Best score: 1.1156: : 621iter [00:55, 12.77iter/s]
Best score: 1.1156: : 621iter [00:55, 12.77iter/s]
Best score: 1.1156: : 622iter [00:55, 12.77iter/s]
Best score: 1.1156: : 623iter [00:55, 12.90iter/s]
Best score: 1.1156: : 623iter [00:55, 12.90iter/s]
Best score: 1.1156: : 624iter [00:55, 12.90iter/s]
Best score: 1.1156: : 625iter [00:55, 13.00iter/s]
Best score: 1.1156: : 625iter [00:55, 13.00iter/s]
Best score: 1.1156: : 626iter [00:55, 13.00iter/s]
Best score: 1.1156: : 627iter [00:55, 13.08iter/s]
Best score: 1.1156: : 627iter [00:56, 13.08iter/s]
Best score: 1.1156: : 628iter [00:56, 13.08iter/s]
Best score: 1.1156: : 629iter [00:56, 13.12iter/s]
Best score: 1.0080: : 629iter [00:56, 13.12iter/s]
Best score: 1.0080: : 630iter [00:56, 13.12iter/s]
Best score: 1.0080: : 631iter [00:56, 12.90iter/s]
Best score: 1.0080: : 631iter [00:56, 12.90iter/s]
Best score: 1.0080: : 632iter [00:56, 12.90iter/s]
Best score: 1.0080: : 633iter [00:56, 13.00iter/s]
Best score: 1.0080: : 633iter [00:56, 13.00iter/s]
Best score: 1.0080: : 634iter [00:56, 13.00iter/s]
Best score: 1.0080: : 635iter [00:56, 13.08iter/s]
Best score: 1.0080: : 635iter [00:56, 13.08iter/s]
Best score: 1.0080: : 636iter [00:56, 13.08iter/s]
Best score: 1.0080: : 637iter [00:56, 13.08iter/s]
Best score: 1.0080: : 637iter [00:56, 13.08iter/s]
Best score: 1.0080: : 638iter [00:56, 13.08iter/s]
Best score: 1.0080: : 639iter [00:56, 13.13iter/s]
Best score: 0.8512: : 639iter [00:56, 13.13iter/s]
Best score: 0.8512: : 640iter [00:57, 13.13iter/s]
Best score: 0.8512: : 641iter [00:57, 12.89iter/s]
Best score: 0.8512: : 641iter [00:57, 12.89iter/s]
Best score: 0.8512: : 642iter [00:57, 12.89iter/s]
Best score: 0.8512: : 643iter [00:57, 12.95iter/s]
Best score: 0.8512: : 643iter [00:57, 12.95iter/s]
Best score: 0.8512: : 644iter [00:57, 12.95iter/s]
Best score: 0.8512: : 645iter [00:57, 13.04iter/s]
Best score: 0.8512: : 645iter [00:57, 13.04iter/s]
Best score: 0.8512: : 646iter [00:57, 13.04iter/s]
Best score: 0.8512: : 647iter [00:57, 13.12iter/s]
Best score: 0.8512: : 647iter [00:57, 13.12iter/s]
Best score: 0.8512: : 648iter [00:57, 13.12iter/s]
Best score: 0.8512: : 649iter [00:57, 13.12iter/s]
[ITER 650] Best: 0.7897
[PARAMS] Current best parameters:
  fx: 655.7347
  fy: 656.0090
  px: 995.5234
  py: 769.3170
  k1: -0.22158435
  k2: 0.20258618
  k3: -0.13375978
  k4: 0.03439106
  p1: 0.00464785
  p2: -0.00365203
  p3: 0.02077477
  p4: 0.00345743
  s1: -0.0330
  s2: 0.0038
  s3: -0.0325
  s4: -0.0009
  tilt_x: -0.0660
  tilt_y: 0.0265
  scale: 3.0103
  rotation: 0.1687

Best score: 0.7897: : 649iter [00:57, 13.12iter/s]
Best score: 0.7897: : 650iter [00:58, 13.12iter/s]
Best score: 0.7897: : 651iter [00:58,  8.32iter/s]
Best score: 0.7897: : 651iter [00:58,  8.32iter/s]
Best score: 0.7897: : 652iter [00:58,  8.32iter/s]
Best score: 0.7897: : 653iter [00:58,  9.35iter/s]
Best score: 0.7897: : 653iter [00:58,  9.35iter/s]
Best score: 0.7897: : 654iter [00:58,  9.35iter/s]
Best score: 0.7897: : 655iter [00:58, 10.25iter/s]
Best score: 0.7897: : 655iter [00:58, 10.25iter/s]
Best score: 0.7897: : 656iter [00:58, 10.25iter/s]
Best score: 0.7897: : 657iter [00:58, 10.99iter/s]
Best score: 0.7897: : 657iter [00:58, 10.99iter/s]
Best score: 0.7897: : 658iter [00:58, 10.99iter/s]
Best score: 0.7897: : 659iter [00:58, 11.59iter/s]
Best score: 0.7716: : 659iter [00:58, 11.59iter/s]
Best score: 0.7716: : 660iter [00:58, 11.59iter/s]
Best score: 0.7716: : 661iter [00:58, 11.84iter/s]
Best score: 0.7716: : 661iter [00:58, 11.84iter/s]
Best score: 0.7716: : 662iter [00:59, 11.84iter/s]
Best score: 0.7716: : 663iter [00:59, 12.22iter/s]
Best score: 0.7716: : 663iter [00:59, 12.22iter/s]
Best score: 0.7716: : 664iter [00:59, 12.22iter/s]
Best score: 0.7716: : 665iter [00:59, 12.51iter/s]
Best score: 0.7716: : 665iter [00:59, 12.51iter/s]
Best score: 0.7716: : 666iter [00:59, 12.51iter/s]
Best score: 0.7716: : 667iter [00:59, 12.72iter/s]
Best score: 0.7716: : 667iter [00:59, 12.72iter/s]
Best score: 0.7716: : 668iter [00:59, 12.72iter/s]
Best score: 0.7716: : 669iter [00:59, 12.86iter/s]
Best score: 0.5666: : 669iter [00:59, 12.86iter/s]
Best score: 0.5666: : 670iter [00:59, 12.86iter/s]
Best score: 0.5666: : 671iter [00:59, 12.72iter/s]
Best score: 0.5666: : 671iter [00:59, 12.72iter/s]
Best score: 0.5666: : 672iter [00:59, 12.72iter/s]
Best score: 0.5666: : 673iter [00:59, 12.87iter/s]
Best score: 0.5666: : 673iter [00:59, 12.87iter/s]
Best score: 0.5666: : 674iter [00:59, 12.87iter/s]
Best score: 0.5666: : 675iter [00:59, 12.95iter/s]
Best score: 0.5666: : 675iter [01:00, 12.95iter/s]
Best score: 0.5666: : 676iter [01:00, 12.95iter/s]
Best score: 0.5666: : 677iter [01:00, 13.01iter/s]
Best score: 0.5666: : 677iter [01:00, 13.01iter/s]
Best score: 0.5666: : 678iter [01:00, 13.01iter/s]
Best score: 0.5666: : 679iter [01:00, 13.07iter/s]
Best score: 0.5666: : 679iter [01:00, 13.07iter/s]
Best score: 0.5666: : 680iter [01:00, 13.07iter/s]
Best score: 0.5666: : 681iter [01:00, 12.80iter/s]
Best score: 0.5666: : 681iter [01:00, 12.80iter/s]
Best score: 0.5666: : 682iter [01:00, 12.80iter/s]
Best score: 0.5666: : 683iter [01:00, 12.87iter/s]
Best score: 0.5666: : 683iter [01:00, 12.87iter/s]
Best score: 0.5666: : 684iter [01:00, 12.87iter/s]
Best score: 0.5666: : 685iter [01:00, 12.96iter/s]
Best score: 0.5666: : 685iter [01:00, 12.96iter/s]
Best score: 0.5666: : 686iter [01:00, 12.96iter/s]
Best score: 0.5666: : 687iter [01:00, 13.03iter/s]
Best score: 0.5666: : 687iter [01:00, 13.03iter/s]
Best score: 0.5666: : 688iter [01:01, 13.03iter/s]
Best score: 0.5666: : 689iter [01:01, 13.07iter/s]
Best score: 0.5666: : 689iter [01:01, 13.07iter/s]
Best score: 0.5666: : 690iter [01:01, 13.07iter/s]
Best score: 0.5666: : 691iter [01:01, 10.45iter/s]
Best score: 0.5666: : 691iter [01:01, 10.45iter/s]
Best score: 0.5666: : 692iter [01:01, 10.45iter/s]
Best score: 0.5666: : 693iter [01:01, 11.15iter/s]
Best score: 0.5666: : 693iter [01:01, 11.15iter/s]
Best score: 0.5666: : 694iter [01:01, 11.15iter/s]
Best score: 0.5666: : 695iter [01:01, 11.67iter/s]
Best score: 0.5666: : 695iter [01:01, 11.67iter/s]
Best score: 0.5666: : 696iter [01:01, 11.67iter/s]
Best score: 0.5666: : 697iter [01:01, 12.00iter/s]
Best score: 0.5666: : 697iter [01:01, 12.00iter/s]
Best score: 0.5666: : 698iter [01:01, 12.00iter/s]
Best score: 0.5666: : 699iter [01:01, 12.33iter/s]
[ITER 700] Best: 0.5666
[PARAMS] Current best parameters:
  fx: 663.0134
  fy: 662.9637
  px: 999.4197
  py: 767.7357
  k1: -0.24272012
  k2: 0.22606680
  k3: -0.14415574
  k4: 0.03573544
  p1: -0.00432717
  p2: -0.00170894
  p3: 0.02958372
  p4: 0.00840360
  s1: -0.0396
  s2: -0.0001
  s3: -0.0327
  s4: 0.0007
  tilt_x: -0.0614
  tilt_y: 0.0066
  scale: 3.0108
  rotation: 0.2281

Best score: 0.5666: : 699iter [01:01, 12.33iter/s]
Best score: 0.5666: : 700iter [01:02, 12.33iter/s]
Best score: 0.5666: : 701iter [01:02,  8.08iter/s]
Best score: 0.5666: : 701iter [01:02,  8.08iter/s]
Best score: 0.5666: : 702iter [01:02,  8.08iter/s]
Best score: 0.5666: : 703iter [01:02,  9.13iter/s]
Best score: 0.5666: : 703iter [01:02,  9.13iter/s]
Best score: 0.5666: : 704iter [01:02,  9.13iter/s]
Best score: 0.5666: : 705iter [01:02, 10.05iter/s]
Best score: 0.5666: : 705iter [01:02, 10.05iter/s]
Best score: 0.5666: : 706iter [01:02, 10.05iter/s]
Best score: 0.5666: : 707iter [01:02, 10.75iter/s]
Best score: 0.5666: : 707iter [01:02, 10.75iter/s]
Best score: 0.5666: : 708iter [01:02, 10.75iter/s]
Best score: 0.5666: : 709iter [01:02, 11.38iter/s]
Best score: 0.5131: : 709iter [01:03, 11.38iter/s]
Best score: 0.5131: : 710iter [01:03, 11.38iter/s]
Best score: 0.5131: : 711iter [01:03, 11.69iter/s]
Best score: 0.5131: : 711iter [01:03, 11.69iter/s]
Best score: 0.5131: : 712iter [01:03, 11.69iter/s]
Best score: 0.5131: : 713iter [01:03, 12.12iter/s]
Best score: 0.5131: : 713iter [01:03, 12.12iter/s]
Best score: 0.5131: : 714iter [01:03, 12.12iter/s]
Best score: 0.5131: : 715iter [01:03, 12.43iter/s]
Best score: 0.5131: : 715iter [01:03, 12.43iter/s]
Best score: 0.5131: : 716iter [01:03, 12.43iter/s]
Best score: 0.5131: : 717iter [01:03, 12.64iter/s]
Best score: 0.5131: : 717iter [01:03, 12.64iter/s]
Best score: 0.5131: : 718iter [01:03, 12.64iter/s]
Best score: 0.5131: : 719iter [01:03, 12.81iter/s]
Best score: 0.5080: : 719iter [01:03, 12.81iter/s]
Best score: 0.5080: : 720iter [01:03, 12.81iter/s]
Best score: 0.5080: : 721iter [01:03, 12.70iter/s]
Best score: 0.5080: : 721iter [01:03, 12.70iter/s]
Best score: 0.5080: : 722iter [01:04, 12.70iter/s]
Best score: 0.5080: : 723iter [01:04, 12.81iter/s]
Best score: 0.5080: : 723iter [01:04, 12.81iter/s]
Best score: 0.5080: : 724iter [01:04, 12.81iter/s]
Best score: 0.5080: : 725iter [01:04, 12.92iter/s]
Best score: 0.5080: : 725iter [01:04, 12.92iter/s]
Best score: 0.5080: : 726iter [01:04, 12.92iter/s]
Best score: 0.5080: : 727iter [01:04, 12.94iter/s]
Best score: 0.5080: : 727iter [01:04, 12.94iter/s]
Best score: 0.5080: : 728iter [01:04, 12.94iter/s]
Best score: 0.5080: : 729iter [01:04, 13.02iter/s]
Best score: 0.4802: : 729iter [01:04, 13.02iter/s]
Best score: 0.4802: : 730iter [01:04, 13.02iter/s]
Best score: 0.4802: : 731iter [01:04, 12.86iter/s]
Best score: 0.4802: : 731iter [01:04, 12.86iter/s]
Best score: 0.4802: : 732iter [01:04, 12.86iter/s]
Best score: 0.4802: : 733iter [01:04, 12.91iter/s]
Best score: 0.4802: : 733iter [01:04, 12.91iter/s]
Best score: 0.4802: : 734iter [01:04, 12.91iter/s]
Best score: 0.4802: : 735iter [01:04, 13.00iter/s]
Best score: 0.4802: : 735iter [01:05, 13.00iter/s]
Best score: 0.4802: : 736iter [01:05, 13.00iter/s]
Best score: 0.4802: : 737iter [01:05, 13.07iter/s]
Best score: 0.4802: : 737iter [01:05, 13.07iter/s]
Best score: 0.4802: : 738iter [01:05, 13.07iter/s]
Best score: 0.4802: : 739iter [01:05, 13.11iter/s]
Best score: 0.4802: : 739iter [01:05, 13.11iter/s]
Best score: 0.4802: : 740iter [01:05, 13.11iter/s]
Best score: 0.4802: : 741iter [01:05, 12.88iter/s]
Best score: 0.4802: : 741iter [01:05, 12.88iter/s]
Best score: 0.4802: : 742iter [01:05, 12.88iter/s]
Best score: 0.4802: : 743iter [01:05, 12.96iter/s]
Best score: 0.4802: : 743iter [01:05, 12.96iter/s]
Best score: 0.4802: : 744iter [01:05, 12.96iter/s]
Best score: 0.4802: : 745iter [01:05, 13.04iter/s]
Best score: 0.4802: : 745iter [01:05, 13.04iter/s]
Best score: 0.4802: : 746iter [01:05, 13.04iter/s]
Best score: 0.4802: : 747iter [01:05, 13.10iter/s]
Best score: 0.4802: : 747iter [01:05, 13.10iter/s]
Best score: 0.4802: : 748iter [01:06, 13.10iter/s]
Best score: 0.4802: : 749iter [01:06, 13.07iter/s]
[ITER 750] Best: 0.4802
[PARAMS] Current best parameters:
  fx: 667.5059
  fy: 667.8888
  px: 999.8236
  py: 769.9967
  k1: -0.25450049
  k2: 0.23263578
  k3: -0.14332973
  k4: 0.03462202
  p1: 0.00436261
  p2: 0.00057707
  p3: 0.03427531
  p4: -0.00090943
  s1: -0.0427
  s2: 0.0085
  s3: -0.0375
  s4: 0.0032
  tilt_x: -0.0687
  tilt_y: 0.0133
  scale: 3.0248
  rotation: 0.2149

Best score: 0.4802: : 749iter [01:06, 13.07iter/s]
Best score: 0.4802: : 750iter [01:06, 13.07iter/s]
Best score: 0.4802: : 751iter [01:06,  8.28iter/s]
Best score: 0.4802: : 751iter [01:06,  8.28iter/s]
Best score: 0.4802: : 752iter [01:06,  8.28iter/s]
Best score: 0.4802: : 753iter [01:06,  9.31iter/s]
Best score: 0.4802: : 753iter [01:06,  9.31iter/s]
Best score: 0.4802: : 754iter [01:06,  9.31iter/s]
Best score: 0.4802: : 755iter [01:06, 10.21iter/s]
Best score: 0.4802: : 755iter [01:06, 10.21iter/s]
Best score: 0.4802: : 756iter [01:06, 10.21iter/s]
Best score: 0.4802: : 757iter [01:06, 10.96iter/s]
Best score: 0.4802: : 757iter [01:07, 10.96iter/s]
Best score: 0.4802: : 758iter [01:07, 10.96iter/s]
Best score: 0.4802: : 759iter [01:07, 11.55iter/s]
Best score: 0.4802: : 759iter [01:07, 11.55iter/s]
Best score: 0.4802: : 760iter [01:07, 11.55iter/s]
Best score: 0.4802: : 761iter [01:07, 11.77iter/s]
Best score: 0.4802: : 761iter [01:07, 11.77iter/s]
Best score: 0.4802: : 762iter [01:07, 11.77iter/s]
Best score: 0.4802: : 763iter [01:07, 12.16iter/s]
Best score: 0.4802: : 763iter [01:07, 12.16iter/s]
Best score: 0.4802: : 764iter [01:07, 12.16iter/s]
Best score: 0.4802: : 765iter [01:07, 12.46iter/s]
Best score: 0.4802: : 765iter [01:07, 12.46iter/s]
Best score: 0.4802: : 766iter [01:07, 12.46iter/s]
Best score: 0.4802: : 767iter [01:07, 12.67iter/s]
Best score: 0.4802: : 767iter [01:07, 12.67iter/s]
Best score: 0.4802: : 768iter [01:07, 12.67iter/s]
Best score: 0.4802: : 769iter [01:07, 12.83iter/s]
Best score: 0.4565: : 769iter [01:07, 12.83iter/s]
Best score: 0.4565: : 770iter [01:08, 12.83iter/s]
Best score: 0.4565: : 771iter [01:08, 12.74iter/s]
Best score: 0.4565: : 771iter [01:08, 12.74iter/s]
Best score: 0.4565: : 772iter [01:08, 12.74iter/s]
Best score: 0.4565: : 773iter [01:08, 12.86iter/s]
Best score: 0.4565: : 773iter [01:08, 12.86iter/s]
Best score: 0.4565: : 774iter [01:08, 12.86iter/s]
Best score: 0.4565: : 775iter [01:08, 12.94iter/s]
Best score: 0.4565: : 775iter [01:08, 12.94iter/s]
Best score: 0.4565: : 776iter [01:08, 12.94iter/s]
Best score: 0.4565: : 777iter [01:08, 13.02iter/s]
Best score: 0.4565: : 777iter [01:08, 13.02iter/s]
Best score: 0.4565: : 778iter [01:08, 13.02iter/s]
Best score: 0.4565: : 779iter [01:08, 13.05iter/s]
Best score: 0.4112: : 779iter [01:08, 13.05iter/s]
Best score: 0.4112: : 780iter [01:08, 13.05iter/s]
Best score: 0.4112: : 781iter [01:08, 12.85iter/s]
Best score: 0.4112: : 781iter [01:08, 12.85iter/s]
Best score: 0.4112: : 782iter [01:08, 12.85iter/s]
Best score: 0.4112: : 783iter [01:08, 12.96iter/s]
Best score: 0.4112: : 783iter [01:09, 12.96iter/s]
Best score: 0.4112: : 784iter [01:09, 12.96iter/s]
Best score: 0.4112: : 785iter [01:09, 13.04iter/s]
Best score: 0.4112: : 785iter [01:09, 13.04iter/s]
Best score: 0.4112: : 786iter [01:09, 13.04iter/s]
Best score: 0.4112: : 787iter [01:09, 13.09iter/s]
Best score: 0.4112: : 787iter [01:09, 13.09iter/s]
Best score: 0.4112: : 788iter [01:09, 13.09iter/s]
Best score: 0.4112: : 789iter [01:09, 13.11iter/s]
Best score: 0.4103: : 789iter [01:09, 13.11iter/s]
Best score: 0.4103: : 790iter [01:09, 13.11iter/s]
Best score: 0.4103: : 791iter [01:09, 12.92iter/s]
Best score: 0.4103: : 791iter [01:09, 12.92iter/s]
Best score: 0.4103: : 792iter [01:09, 12.92iter/s]
Best score: 0.4103: : 793iter [01:09, 12.96iter/s]
Best score: 0.4103: : 793iter [01:09, 12.96iter/s]
Best score: 0.4103: : 794iter [01:09, 12.96iter/s]
Best score: 0.4103: : 795iter [01:09, 12.96iter/s]
Best score: 0.4103: : 795iter [01:09, 12.96iter/s]
Best score: 0.4103: : 796iter [01:10, 12.96iter/s]
Best score: 0.4103: : 797iter [01:10, 12.99iter/s]
Best score: 0.4103: : 797iter [01:10, 12.99iter/s]
Best score: 0.4103: : 798iter [01:10, 12.99iter/s]
Best score: 0.4103: : 799iter [01:10, 13.05iter/s]
[ITER 800] Best: 0.4103
[PARAMS] Current best parameters:
  fx: 676.0377
  fy: 675.9307
  px: 995.7325
  py: 770.1744
  k1: -0.26137326
  k2: 0.22754612
  k3: -0.13495963
  k4: 0.03181825
  p1: 0.00855406
  p2: -0.00875070
  p3: 0.03034272
  p4: 0.00258983
  s1: -0.0363
  s2: 0.0048
  s3: -0.0391
  s4: -0.0021
  tilt_x: -0.0717
  tilt_y: 0.0181
  scale: 3.0226
  rotation: 0.2518

Best score: 0.4103: : 799iter [01:10, 13.05iter/s]
Best score: 0.4103: : 800iter [01:10, 13.05iter/s]
Best score: 0.4103: : 801iter [01:10,  8.28iter/s]
Best score: 0.4103: : 801iter [01:10,  8.28iter/s]
Best score: 0.4103: : 802iter [01:10,  8.28iter/s]
Best score: 0.4103: : 803iter [01:10,  9.32iter/s]
Best score: 0.4103: : 803iter [01:10,  9.32iter/s]
Best score: 0.4103: : 804iter [01:10,  9.32iter/s]
Best score: 0.4103: : 805iter [01:10, 10.22iter/s]
Best score: 0.4103: : 805iter [01:11, 10.22iter/s]
Best score: 0.4103: : 806iter [01:11, 10.22iter/s]
Best score: 0.4103: : 807iter [01:11, 10.97iter/s]
Best score: 0.4103: : 807iter [01:11, 10.97iter/s]
Best score: 0.4103: : 808iter [01:11, 10.97iter/s]
Best score: 0.4103: : 809iter [01:11, 11.55iter/s]
Best score: 0.3996: : 809iter [01:11, 11.55iter/s]
Best score: 0.3996: : 810iter [01:11, 11.55iter/s]
Best score: 0.3996: : 811iter [01:11, 11.79iter/s]
Best score: 0.3996: : 811iter [01:11, 11.79iter/s]
Best score: 0.3996: : 812iter [01:11, 11.79iter/s]
Best score: 0.3996: : 813iter [01:11, 12.17iter/s]
Best score: 0.3996: : 813iter [01:11, 12.17iter/s]
Best score: 0.3996: : 814iter [01:11, 12.17iter/s]
Best score: 0.3996: : 815iter [01:11, 12.45iter/s]
Best score: 0.3996: : 815iter [01:11, 12.45iter/s]
Best score: 0.3996: : 816iter [01:11, 12.45iter/s]
Best score: 0.3996: : 817iter [01:11, 12.64iter/s]
Best score: 0.3996: : 817iter [01:11, 12.64iter/s]
Best score: 0.3996: : 818iter [01:11, 12.64iter/s]
Best score: 0.3996: : 819iter [01:11, 12.81iter/s]
Best score: 0.3729: : 819iter [01:12, 12.81iter/s]
Best score: 0.3729: : 820iter [01:12, 12.81iter/s]
Best score: 0.3729: : 821iter [01:12, 12.71iter/s]
Best score: 0.3729: : 821iter [01:12, 12.71iter/s]
Best score: 0.3729: : 822iter [01:12, 12.71iter/s]
Best score: 0.3729: : 823iter [01:12, 12.86iter/s]
Best score: 0.3729: : 823iter [01:12, 12.86iter/s]
Best score: 0.3729: : 824iter [01:12, 12.86iter/s]
Best score: 0.3729: : 825iter [01:12, 12.91iter/s]
Best score: 0.3729: : 825iter [01:12, 12.91iter/s]
Best score: 0.3729: : 826iter [01:12, 12.91iter/s]
Best score: 0.3729: : 827iter [01:12, 12.93iter/s]
Best score: 0.3729: : 827iter [01:12, 12.93iter/s]
Best score: 0.3729: : 828iter [01:12, 12.93iter/s]
Best score: 0.3729: : 829iter [01:12, 12.92iter/s]
Best score: 0.3729: : 829iter [01:12, 12.92iter/s]
Best score: 0.3729: : 830iter [01:12, 12.92iter/s]
Best score: 0.3729: : 831iter [01:12, 12.76iter/s]
Best score: 0.3729: : 831iter [01:13, 12.76iter/s]
Best score: 0.3729: : 832iter [01:13, 12.76iter/s]
Best score: 0.3729: : 833iter [01:13, 12.86iter/s]
Best score: 0.3729: : 833iter [01:13, 12.86iter/s]
Best score: 0.3729: : 834iter [01:13, 12.86iter/s]
Best score: 0.3729: : 835iter [01:13, 12.97iter/s]
Best score: 0.3729: : 835iter [01:13, 12.97iter/s]
Best score: 0.3729: : 836iter [01:13, 12.97iter/s]
Best score: 0.3729: : 837iter [01:13, 13.04iter/s]
Best score: 0.3729: : 837iter [01:13, 13.04iter/s]
Best score: 0.3729: : 838iter [01:13, 13.04iter/s]
Best score: 0.3729: : 839iter [01:13, 13.06iter/s]
Best score: 0.3723: : 839iter [01:13, 13.06iter/s]
Best score: 0.3723: : 840iter [01:13, 13.06iter/s]
Best score: 0.3723: : 841iter [01:13, 12.88iter/s]
Best score: 0.3723: : 841iter [01:13, 12.88iter/s]
Best score: 0.3723: : 842iter [01:13, 12.88iter/s]
Best score: 0.3723: : 843iter [01:13, 12.97iter/s]
Best score: 0.3723: : 843iter [01:13, 12.97iter/s]
Best score: 0.3723: : 844iter [01:14, 12.97iter/s]
Best score: 0.3723: : 845iter [01:14, 13.02iter/s]
Best score: 0.3723: : 845iter [01:14, 13.02iter/s]
Best score: 0.3723: : 846iter [01:14, 13.02iter/s]
Best score: 0.3723: : 847iter [01:14, 12.96iter/s]
Best score: 0.3723: : 847iter [01:14, 12.96iter/s]
Best score: 0.3723: : 848iter [01:14, 12.96iter/s]
Best score: 0.3723: : 849iter [01:14, 13.00iter/s]
[ITER 850] Best: 0.3687
[PARAMS] Current best parameters:
  fx: 687.1165
  fy: 686.5981
  px: 997.7512
  py: 775.1927
  k1: -0.27466178
  k2: 0.23216779
  k3: -0.13499622
  k4: 0.03159939
  p1: 0.02239504
  p2: 0.00281600
  p3: 0.02314792
  p4: -0.00765530
  s1: -0.0380
  s2: 0.0133
  s3: -0.0347
  s4: 0.0031
  tilt_x: -0.0720
  tilt_y: 0.0285
  scale: 3.0230
  rotation: 0.1974

Best score: 0.3687: : 849iter [01:14, 13.00iter/s]
Best score: 0.3687: : 850iter [01:14, 13.00iter/s]
Best score: 0.3687: : 851iter [01:14,  8.27iter/s]
Best score: 0.3687: : 851iter [01:14,  8.27iter/s]
Best score: 0.3687: : 852iter [01:14,  8.27iter/s]
Best score: 0.3687: : 853iter [01:14,  9.29iter/s]
Best score: 0.3687: : 853iter [01:14,  9.29iter/s]
Best score: 0.3687: : 854iter [01:15,  9.29iter/s]
Best score: 0.3687: : 855iter [01:15, 10.18iter/s]
Best score: 0.3687: : 855iter [01:15, 10.18iter/s]
Best score: 0.3687: : 856iter [01:15, 10.18iter/s]
Best score: 0.3687: : 857iter [01:15, 10.92iter/s]
Best score: 0.3687: : 857iter [01:15, 10.92iter/s]
Best score: 0.3687: : 858iter [01:15, 10.92iter/s]
Best score: 0.3687: : 859iter [01:15, 11.51iter/s]
Best score: 0.3637: : 859iter [01:15, 11.51iter/s]
Best score: 0.3637: : 860iter [01:15, 11.51iter/s]
Best score: 0.3637: : 861iter [01:15, 11.77iter/s]
Best score: 0.3637: : 861iter [01:15, 11.77iter/s]
Best score: 0.3637: : 862iter [01:15, 11.77iter/s]
Best score: 0.3637: : 863iter [01:15, 12.17iter/s]
Best score: 0.3637: : 863iter [01:15, 12.17iter/s]
Best score: 0.3637: : 864iter [01:15, 12.17iter/s]
Best score: 0.3637: : 865iter [01:15, 12.44iter/s]
Best score: 0.3637: : 865iter [01:15, 12.44iter/s]
Best score: 0.3637: : 866iter [01:15, 12.44iter/s]
Best score: 0.3637: : 867iter [01:15, 12.63iter/s]
Best score: 0.3637: : 867iter [01:16, 12.63iter/s]
Best score: 0.3637: : 868iter [01:16, 12.63iter/s]
Best score: 0.3637: : 869iter [01:16, 12.73iter/s]
Best score: 0.3637: : 869iter [01:16, 12.73iter/s]
Best score: 0.3637: : 870iter [01:16, 12.73iter/s]
Best score: 0.3637: : 871iter [01:16, 12.65iter/s]
Best score: 0.3637: : 871iter [01:16, 12.65iter/s]
Best score: 0.3637: : 872iter [01:16, 12.65iter/s]
Best score: 0.3637: : 873iter [01:16, 12.81iter/s]
Best score: 0.3637: : 873iter [01:16, 12.81iter/s]
Best score: 0.3637: : 874iter [01:16, 12.81iter/s]
Best score: 0.3637: : 875iter [01:16, 12.90iter/s]
Best score: 0.3637: : 875iter [01:16, 12.90iter/s]
Best score: 0.3637: : 876iter [01:16, 12.90iter/s]
Best score: 0.3637: : 877iter [01:16, 12.98iter/s]
Best score: 0.3637: : 877iter [01:16, 12.98iter/s]
Best score: 0.3637: : 878iter [01:16, 12.98iter/s]
Best score: 0.3637: : 879iter [01:16, 13.02iter/s]
Best score: 0.3630: : 879iter [01:16, 13.02iter/s]
Best score: 0.3630: : 880iter [01:17, 13.02iter/s]
Best score: 0.3630: : 881iter [01:17, 12.86iter/s]
Best score: 0.3630: : 881iter [01:17, 12.86iter/s]
Best score: 0.3630: : 882iter [01:17, 12.86iter/s]
Best score: 0.3630: : 883iter [01:17, 12.92iter/s]
Best score: 0.3630: : 883iter [01:17, 12.92iter/s]
Best score: 0.3630: : 884iter [01:17, 12.92iter/s]
Best score: 0.3630: : 885iter [01:17, 13.00iter/s]
Best score: 0.3630: : 885iter [01:17, 13.00iter/s]
Best score: 0.3630: : 886iter [01:17, 13.00iter/s]
Best score: 0.3630: : 887iter [01:17, 13.03iter/s]
Best score: 0.3630: : 887iter [01:17, 13.03iter/s]
Best score: 0.3630: : 888iter [01:17, 13.03iter/s]
Best score: 0.3630: : 889iter [01:17, 13.05iter/s]
Best score: 0.3627: : 889iter [01:17, 13.05iter/s]
Best score: 0.3627: : 890iter [01:17, 13.05iter/s]
Best score: 0.3627: : 891iter [01:17, 12.88iter/s]
Best score: 0.3627: : 891iter [01:17, 12.88iter/s]
Best score: 0.3627: : 892iter [01:17, 12.88iter/s]
Best score: 0.3627: : 893iter [01:17, 12.98iter/s]
Best score: 0.3627: : 893iter [01:18, 12.98iter/s]
Best score: 0.3627: : 894iter [01:18, 12.98iter/s]
Best score: 0.3627: : 895iter [01:18, 13.03iter/s]
Best score: 0.3627: : 895iter [01:18, 13.03iter/s]
Best score: 0.3627: : 896iter [01:18, 13.03iter/s]
Best score: 0.3627: : 897iter [01:18, 13.08iter/s]
Best score: 0.3627: : 897iter [01:18, 13.08iter/s]
Best score: 0.3627: : 898iter [01:18, 13.08iter/s]
Best score: 0.3627: : 899iter [01:18, 13.09iter/s]
[ITER 900] Best: 0.3601
[PARAMS] Current best parameters:
  fx: 687.5157
  fy: 687.4769
  px: 997.0729
  py: 773.0760
  k1: -0.27796429
  k2: 0.23552238
  k3: -0.13598217
  k4: 0.03164998
  p1: 0.01399679
  p2: -0.00407513
  p3: 0.02853561
  p4: -0.00474246
  s1: -0.0379
  s2: 0.0110
  s3: -0.0364
  s4: 0.0040
  tilt_x: -0.0682
  tilt_y: 0.0190
  scale: 3.0249
  rotation: 0.2277

Best score: 0.3601: : 899iter [01:18, 13.09iter/s]
Best score: 0.3601: : 900iter [01:18, 13.09iter/s]
Best score: 0.3601: : 901iter [01:18,  8.30iter/s]
Best score: 0.3601: : 901iter [01:18,  8.30iter/s]
Best score: 0.3601: : 902iter [01:19,  8.30iter/s]
Best score: 0.3601: : 903iter [01:19,  9.34iter/s]
Best score: 0.3601: : 903iter [01:19,  9.34iter/s]
Best score: 0.3601: : 904iter [01:19,  9.34iter/s]
Best score: 0.3601: : 905iter [01:19, 10.21iter/s]
Best score: 0.3601: : 905iter [01:19, 10.21iter/s]
Best score: 0.3601: : 906iter [01:19, 10.21iter/s]
Best score: 0.3601: : 907iter [01:19, 10.94iter/s]
Best score: 0.3601: : 907iter [01:19, 10.94iter/s]
Best score: 0.3601: : 908iter [01:19, 10.94iter/s]
Best score: 0.3601: : 909iter [01:19, 11.53iter/s]
Best score: 0.3601: : 909iter [01:19, 11.53iter/s]
Best score: 0.3601: : 910iter [01:19, 11.53iter/s]
Best score: 0.3601: : 911iter [01:19, 11.81iter/s]
Best score: 0.3601: : 911iter [01:19, 11.81iter/s]
Best score: 0.3601: : 912iter [01:19, 11.81iter/s]
Best score: 0.3601: : 913iter [01:19, 12.11iter/s]
Best score: 0.3601: : 913iter [01:19, 12.11iter/s]
Best score: 0.3601: : 914iter [01:19, 12.11iter/s]
Best score: 0.3601: : 915iter [01:19, 12.39iter/s]
Best score: 0.3601: : 915iter [01:20, 12.39iter/s]
Best score: 0.3601: : 916iter [01:20, 12.39iter/s]
Best score: 0.3601: : 917iter [01:20, 12.59iter/s]
Best score: 0.3601: : 917iter [01:20, 12.59iter/s]
Best score: 0.3601: : 918iter [01:20, 12.59iter/s]
Best score: 0.3601: : 919iter [01:20, 12.77iter/s]
Best score: 0.3541: : 919iter [01:20, 12.77iter/s]
Best score: 0.3541: : 920iter [01:20, 12.77iter/s]
Best score: 0.3541: : 921iter [01:20, 12.66iter/s]
Best score: 0.3541: : 921iter [01:20, 12.66iter/s]
Best score: 0.3541: : 922iter [01:20, 12.66iter/s]
Best score: 0.3541: : 923iter [01:20, 12.76iter/s]
Best score: 0.3541: : 923iter [01:20, 12.76iter/s]
Best score: 0.3541: : 924iter [01:20, 12.76iter/s]
Best score: 0.3541: : 925iter [01:20, 12.88iter/s]
Best score: 0.3541: : 925iter [01:20, 12.88iter/s]
Best score: 0.3541: : 926iter [01:20, 12.88iter/s]
Best score: 0.3541: : 927iter [01:20, 12.96iter/s]
Best score: 0.3541: : 927iter [01:20, 12.96iter/s]
Best score: 0.3541: : 928iter [01:21, 12.96iter/s]
Best score: 0.3541: : 929iter [01:21, 13.01iter/s]
Best score: 0.3534: : 929iter [01:21, 13.01iter/s]
Best score: 0.3534: : 930iter [01:21, 13.01iter/s]
Best score: 0.3534: : 931iter [01:21, 12.80iter/s]
Best score: 0.3534: : 931iter [01:21, 12.80iter/s]
Best score: 0.3534: : 932iter [01:21, 12.80iter/s]
Best score: 0.3534: : 933iter [01:21, 12.89iter/s]
Best score: 0.3534: : 933iter [01:21, 12.89iter/s]
Best score: 0.3534: : 934iter [01:21, 12.89iter/s]
Best score: 0.3534: : 935iter [01:21, 12.97iter/s]
Best score: 0.3534: : 935iter [01:21, 12.97iter/s]
Best score: 0.3534: : 936iter [01:21, 12.97iter/s]
Best score: 0.3534: : 937iter [01:21, 12.91iter/s]
Best score: 0.3534: : 937iter [01:21, 12.91iter/s]
Best score: 0.3534: : 938iter [01:21, 12.91iter/s]
Best score: 0.3534: : 939iter [01:21, 12.98iter/s]
Best score: 0.3523: : 939iter [01:21, 12.98iter/s]
Best score: 0.3523: : 940iter [01:21, 12.98iter/s]
Best score: 0.3523: : 941iter [01:21, 12.81iter/s]
Best score: 0.3523: : 941iter [01:22, 12.81iter/s]
Best score: 0.3523: : 942iter [01:22, 12.81iter/s]
Best score: 0.3523: : 943iter [01:22, 12.92iter/s]
Best score: 0.3523: : 943iter [01:22, 12.92iter/s]
Best score: 0.3523: : 944iter [01:22, 12.92iter/s]
Best score: 0.3523: : 945iter [01:22, 12.99iter/s]
Best score: 0.3523: : 945iter [01:22, 12.99iter/s]
Best score: 0.3523: : 946iter [01:22, 12.99iter/s]
Best score: 0.3523: : 947iter [01:22, 13.04iter/s]
Best score: 0.3523: : 947iter [01:22, 13.04iter/s]
Best score: 0.3523: : 948iter [01:22, 13.04iter/s]
Best score: 0.3523: : 949iter [01:22, 13.04iter/s]
[ITER 950] Best: 0.3515
[PARAMS] Current best parameters:
  fx: 689.5544
  fy: 689.4566
  px: 996.9215
  py: 773.5425
  k1: -0.27537101
  k2: 0.22641411
  k3: -0.12862742
  k4: 0.02967926
  p1: 0.01322209
  p2: -0.00421574
  p3: 0.02380620
  p4: -0.00032371
  s1: -0.0309
  s2: 0.0048
  s3: -0.0300
  s4: -0.0005
  tilt_x: -0.0641
  tilt_y: 0.0199
  scale: 3.0194
  rotation: 0.2281

Best score: 0.3515: : 949iter [01:22, 13.04iter/s]
Best score: 0.3515: : 950iter [01:23, 13.04iter/s]
Best score: 0.3515: : 951iter [01:23,  8.28iter/s]
Best score: 0.3515: : 951iter [01:23,  8.28iter/s]
Best score: 0.3515: : 952iter [01:23,  8.28iter/s]
Best score: 0.3515: : 953iter [01:23,  9.30iter/s]
Best score: 0.3515: : 953iter [01:23,  9.30iter/s]
Best score: 0.3515: : 954iter [01:23,  9.30iter/s]
Best score: 0.3515: : 955iter [01:23, 10.19iter/s]
Best score: 0.3515: : 955iter [01:23, 10.19iter/s]
Best score: 0.3515: : 956iter [01:23, 10.19iter/s]
Best score: 0.3515: : 957iter [01:23, 10.92iter/s]
Best score: 0.3515: : 957iter [01:23, 10.92iter/s]
Best score: 0.3515: : 958iter [01:23, 10.92iter/s]
Best score: 0.3515: : 959iter [01:23, 11.50iter/s]
Best score: 0.3475: : 959iter [01:23, 11.50iter/s]
Best score: 0.3475: : 960iter [01:23, 11.50iter/s]
Best score: 0.3475: : 961iter [01:23, 11.74iter/s]
Best score: 0.3475: : 961iter [01:23, 11.74iter/s]
Best score: 0.3475: : 962iter [01:23, 11.74iter/s]
Best score: 0.3475: : 963iter [01:23, 12.07iter/s]
Best score: 0.3475: : 963iter [01:24, 12.07iter/s]
Best score: 0.3475: : 964iter [01:24, 12.07iter/s]
Best score: 0.3475: : 965iter [01:24, 12.33iter/s]
Best score: 0.3475: : 965iter [01:24, 12.33iter/s]
Best score: 0.3475: : 966iter [01:24, 12.33iter/s]
Best score: 0.3475: : 967iter [01:24, 12.58iter/s]
Best score: 0.3475: : 967iter [01:24, 12.58iter/s]
Best score: 0.3475: : 968iter [01:24, 12.58iter/s]
Best score: 0.3475: : 969iter [01:24, 12.74iter/s]
Best score: 0.3475: : 969iter [01:24, 12.74iter/s]
Best score: 0.3475: : 970iter [01:24, 12.74iter/s]
Best score: 0.3475: : 971iter [01:24, 12.62iter/s]
Best score: 0.3475: : 971iter [01:24, 12.62iter/s]
Best score: 0.3475: : 972iter [01:24, 12.62iter/s]
Best score: 0.3475: : 973iter [01:24, 12.75iter/s]
Best score: 0.3475: : 973iter [01:24, 12.75iter/s]
Best score: 0.3475: : 974iter [01:24, 12.75iter/s]
Best score: 0.3475: : 975iter [01:24, 12.76iter/s]
Best score: 0.3475: : 975iter [01:24, 12.76iter/s]
Best score: 0.3475: : 976iter [01:25, 12.76iter/s]
Best score: 0.3475: : 977iter [01:25, 12.87iter/s]
Best score: 0.3475: : 977iter [01:25, 12.87iter/s]
Best score: 0.3475: : 978iter [01:25, 12.87iter/s]
Best score: 0.3475: : 979iter [01:25, 12.92iter/s]
Best score: 0.3475: : 979iter [01:25, 12.92iter/s]
Best score: 0.3475: : 980iter [01:25, 12.92iter/s]
Best score: 0.3475: : 981iter [01:25, 12.75iter/s]
Best score: 0.3475: : 981iter [01:25, 12.75iter/s]
Best score: 0.3475: : 982iter [01:25, 12.75iter/s]
Best score: 0.3475: : 983iter [01:25, 12.87iter/s]
Best score: 0.3475: : 983iter [01:25, 12.87iter/s]
Best score: 0.3475: : 984iter [01:25, 12.87iter/s]
Best score: 0.3475: : 985iter [01:25, 12.96iter/s]
Best score: 0.3475: : 985iter [01:25, 12.96iter/s]
Best score: 0.3475: : 986iter [01:25, 12.96iter/s]
Best score: 0.3475: : 987iter [01:25, 13.02iter/s]
Best score: 0.3475: : 987iter [01:25, 13.02iter/s]
Best score: 0.3475: : 988iter [01:25, 13.02iter/s]
Best score: 0.3475: : 989iter [01:25, 13.06iter/s]
Best score: 0.3425: : 989iter [01:26, 13.06iter/s]
Best score: 0.3425: : 990iter [01:26, 13.06iter/s]
Best score: 0.3425: : 991iter [01:26, 12.87iter/s]
Best score: 0.3425: : 991iter [01:26, 12.87iter/s]
Best score: 0.3425: : 992iter [01:26, 12.87iter/s]
Best score: 0.3425: : 993iter [01:26, 12.94iter/s]
Best score: 0.3425: : 993iter [01:26, 12.94iter/s]
Best score: 0.3425: : 994iter [01:26, 12.94iter/s]
Best score: 0.3425: : 995iter [01:26, 13.00iter/s]
Best score: 0.3425: : 995iter [01:26, 13.00iter/s]
Best score: 0.3425: : 996iter [01:26, 13.00iter/s]
Best score: 0.3425: : 997iter [01:26, 13.03iter/s]
Best score: 0.3425: : 997iter [01:26, 13.03iter/s]
Best score: 0.3425: : 998iter [01:26, 13.03iter/s]
Best score: 0.3425: : 999iter [01:26, 13.07iter/s]
[ITER 1000] Best: 0.3390
[PARAMS] Current best parameters:
  fx: 689.4607
  fy: 689.5400
  px: 998.1145
  py: 772.5850
  k1: -0.26639306
  k2: 0.20854220
  k3: -0.11526852
  k4: 0.02617447
  p1: 0.00261142
  p2: -0.01016169
  p3: 0.01831451
  p4: 0.00361096
  s1: -0.0203
  s2: 0.0026
  s3: -0.0137
  s4: -0.0053
  tilt_x: -0.0492
  tilt_y: 0.0002
  scale: 3.0071
  rotation: 0.2533

Best score: 0.3390: : 999iter [01:26, 13.07iter/s]/app/slick/utils/distortion_utils.py:114: RuntimeWarning: overflow encountered in square
  r4 = r2**2
/app/slick/utils/distortion_utils.py:172: RuntimeWarning: invalid value encountered in add
  w_p = M[2, 0] * xn + M[2, 1] * yn + M[2, 2]

Best score: 0.3390: : 1000iter [01:27, 13.07iter/s]
Best score: 0.3390: : 1001iter [01:27,  8.25iter/s]
Best score: 0.3390: : 1001iter [01:27,  8.25iter/s]
Best score: 0.3390: : 1002iter [01:27,  8.25iter/s]
Best score: 0.3390: : 1003iter [01:27,  9.23iter/s]
Best score: 0.3390: : 1003iter [01:27,  9.23iter/s]
Best score: 0.3390: : 1004iter [01:27,  9.23iter/s]
Best score: 0.3390: : 1005iter [01:27, 10.11iter/s]
Best score: 0.3390: : 1005iter [01:27, 10.11iter/s]
Best score: 0.3390: : 1006iter [01:27, 10.11iter/s]
Best score: 0.3390: : 1007iter [01:27, 10.86iter/s]
Best score: 0.3390: : 1007iter [01:27, 10.86iter/s]
Best score: 0.3390: : 1008iter [01:27, 10.86iter/s]
Best score: 0.3390: : 1009iter [01:27, 11.46iter/s]
Best score: 0.3332: : 1009iter [01:27, 11.46iter/s]
Best score: 0.3332: : 1010iter [01:27, 11.46iter/s]
Best score: 0.3332: : 1011iter [01:27, 11.71iter/s]
Best score: 0.3332: : 1011iter [01:28, 11.71iter/s]
Best score: 0.3332: : 1012iter [01:28, 11.71iter/s]
Best score: 0.3332: : 1013iter [01:28, 12.10iter/s]
Best score: 0.3332: : 1013iter [01:28, 12.10iter/s]
Best score: 0.3332: : 1014iter [01:28, 12.10iter/s]
Best score: 0.3332: : 1015iter [01:28, 12.41iter/s]
Best score: 0.3332: : 1015iter [01:28, 12.41iter/s]
Best score: 0.3332: : 1016iter [01:28, 12.41iter/s]
Best score: 0.3332: : 1017iter [01:28, 12.62iter/s]
Best score: 0.3332: : 1017iter [01:28, 12.62iter/s]
Best score: 0.3332: : 1018iter [01:28, 12.62iter/s]
Best score: 0.3332: : 1019iter [01:28, 12.75iter/s]
Best score: 0.3306: : 1019iter [01:28, 12.75iter/s]
Best score: 0.3306: : 1020iter [01:28, 12.75iter/s]
Best score: 0.3306: : 1021iter [01:28, 12.63iter/s]
Best score: 0.3306: : 1021iter [01:28, 12.63iter/s]
Best score: 0.3306: : 1022iter [01:28, 12.63iter/s]
Best score: 0.3306: : 1023iter [01:28, 12.80iter/s]
Best score: 0.3306: : 1023iter [01:28, 12.80iter/s]
Best score: 0.3306: : 1024iter [01:29, 12.80iter/s]
Best score: 0.3306: : 1025iter [01:29, 12.92iter/s]
Best score: 0.3306: : 1025iter [01:29, 12.92iter/s]
Best score: 0.3306: : 1026iter [01:29, 12.92iter/s]
Best score: 0.3306: : 1027iter [01:29, 12.96iter/s]
Best score: 0.3306: : 1027iter [01:29, 12.96iter/s]
Best score: 0.3306: : 1028iter [01:29, 12.96iter/s]
Best score: 0.3306: : 1029iter [01:29, 12.99iter/s]
Best score: 0.3303: : 1029iter [01:29, 12.99iter/s]
Best score: 0.3303: : 1030iter [01:29, 12.99iter/s]
Best score: 0.3303: : 1031iter [01:29, 12.81iter/s]
Best score: 0.3303: : 1031iter [01:29, 12.81iter/s]
Best score: 0.3303: : 1032iter [01:29, 12.81iter/s]
Best score: 0.3303: : 1033iter [01:29, 12.90iter/s]
Best score: 0.3303: : 1033iter [01:29, 12.90iter/s]
Best score: 0.3303: : 1034iter [01:29, 12.90iter/s]
Best score: 0.3303: : 1035iter [01:29, 12.94iter/s]
Best score: 0.3303: : 1035iter [01:29, 12.94iter/s]
Best score: 0.3303: : 1036iter [01:29, 12.94iter/s]
Best score: 0.3303: : 1037iter [01:29, 13.03iter/s]
Best score: 0.3303: : 1037iter [01:30, 13.03iter/s]
Best score: 0.3303: : 1038iter [01:30, 13.03iter/s]
Best score: 0.3303: : 1039iter [01:30, 13.08iter/s]
Best score: 0.3244: : 1039iter [01:30, 13.08iter/s]
Best score: 0.3244: : 1040iter [01:30, 13.08iter/s]
Best score: 0.3244: : 1041iter [01:30, 12.90iter/s]
Best score: 0.3244: : 1041iter [01:30, 12.90iter/s]
Best score: 0.3244: : 1042iter [01:30, 12.90iter/s]
Best score: 0.3244: : 1043iter [01:30, 12.97iter/s]
Best score: 0.3244: : 1043iter [01:30, 12.97iter/s]
Best score: 0.3244: : 1044iter [01:30, 12.97iter/s]
Best score: 0.3244: : 1045iter [01:30, 13.01iter/s]
Best score: 0.3244: : 1045iter [01:30, 13.01iter/s]
Best score: 0.3244: : 1046iter [01:30, 13.01iter/s]
Best score: 0.3244: : 1047iter [01:30, 13.02iter/s]
Best score: 0.3244: : 1047iter [01:30, 13.02iter/s]
Best score: 0.3244: : 1048iter [01:30, 13.02iter/s]
Best score: 0.3244: : 1049iter [01:30, 13.07iter/s]
[ITER 1050] Best: 0.3168
[PARAMS] Current best parameters:
  fx: 689.8732
  fy: 689.8356
  px: 998.2932
  py: 770.6263
  k1: -0.25708382
  k2: 0.18823149
  k3: -0.09994418
  k4: 0.02222188
  p1: -0.00815592
  p2: -0.01883843
  p3: 0.01079522
  p4: 0.00881049
  s1: -0.0017
  s2: -0.0046
  s3: 0.0026
  s4: -0.0131
  tilt_x: -0.0396
  tilt_y: -0.0174
  scale: 2.9992
  rotation: 0.2759

Best score: 0.3168: : 1049iter [01:30, 13.07iter/s]
Best score: 0.3168: : 1050iter [01:31, 13.07iter/s]
Best score: 0.3168: : 1051iter [01:31,  8.28iter/s]
Best score: 0.3168: : 1051iter [01:31,  8.28iter/s]
Best score: 0.3168: : 1052iter [01:31,  8.28iter/s]
Best score: 0.3168: : 1053iter [01:31,  9.30iter/s]
Best score: 0.3168: : 1053iter [01:31,  9.30iter/s]
Best score: 0.3168: : 1054iter [01:31,  9.30iter/s]
Best score: 0.3168: : 1055iter [01:31, 10.14iter/s]
Best score: 0.3168: : 1055iter [01:31, 10.14iter/s]
Best score: 0.3168: : 1056iter [01:31, 10.14iter/s]
Best score: 0.3168: : 1057iter [01:31, 10.85iter/s]
Best score: 0.3168: : 1057iter [01:31, 10.85iter/s]
Best score: 0.3168: : 1058iter [01:31, 10.85iter/s]
Best score: 0.3168: : 1059iter [01:31, 11.46iter/s]
Best score: 0.3165: : 1059iter [01:32, 11.46iter/s]
Best score: 0.3165: : 1060iter [01:32, 11.46iter/s]
Best score: 0.3165: : 1061iter [01:32, 11.75iter/s]
Best score: 0.3165: : 1061iter [01:32, 11.75iter/s]
Best score: 0.3165: : 1062iter [01:32, 11.75iter/s]
Best score: 0.3165: : 1063iter [01:32, 12.12iter/s]
Best score: 0.3165: : 1063iter [01:32, 12.12iter/s]
Best score: 0.3165: : 1064iter [01:32, 12.12iter/s]
Best score: 0.3165: : 1065iter [01:32, 12.44iter/s]
Best score: 0.3165: : 1065iter [01:32, 12.44iter/s]
Best score: 0.3165: : 1066iter [01:32, 12.44iter/s]
Best score: 0.3165: : 1067iter [01:32, 12.63iter/s]
Best score: 0.3165: : 1067iter [01:32, 12.63iter/s]
Best score: 0.3165: : 1068iter [01:32, 12.63iter/s]
Best score: 0.3165: : 1069iter [01:32, 12.77iter/s]
Best score: 0.3163: : 1069iter [01:32, 12.77iter/s]
Best score: 0.3163: : 1070iter [01:32, 12.77iter/s]
Best score: 0.3163: : 1071iter [01:32, 12.65iter/s]
Best score: 0.3163: : 1071iter [01:32, 12.65iter/s]
Best score: 0.3163: : 1072iter [01:33, 12.65iter/s]
Best score: 0.3163: : 1073iter [01:33, 12.79iter/s]
Best score: 0.3163: : 1073iter [01:33, 12.79iter/s]
Best score: 0.3163: : 1074iter [01:33, 12.79iter/s]
Best score: 0.3163: : 1075iter [01:33, 12.90iter/s]
Best score: 0.3163: : 1075iter [01:33, 12.90iter/s]
Best score: 0.3163: : 1076iter [01:33, 12.90iter/s]
Best score: 0.3163: : 1077iter [01:33, 13.00iter/s]
Best score: 0.3163: : 1077iter [01:33, 13.00iter/s]
Best score: 0.3163: : 1078iter [01:33, 13.00iter/s]
Best score: 0.3163: : 1079iter [01:33, 13.07iter/s]
Best score: 0.3157: : 1079iter [01:33, 13.07iter/s]
Best score: 0.3157: : 1080iter [01:33, 13.07iter/s]
Best score: 0.3157: : 1081iter [01:33, 12.89iter/s]
Best score: 0.3157: : 1081iter [01:33, 12.89iter/s]
Best score: 0.3157: : 1082iter [01:33, 12.89iter/s]
Best score: 0.3157: : 1083iter [01:33, 12.99iter/s]
Best score: 0.3157: : 1083iter [01:33, 12.99iter/s]
Best score: 0.3157: : 1084iter [01:33, 12.99iter/s]
Best score: 0.3157: : 1085iter [01:33, 13.07iter/s]
Best score: 0.3157: : 1085iter [01:34, 13.07iter/s]
Best score: 0.3157: : 1086iter [01:34, 13.07iter/s]
Best score: 0.3157: : 1087iter [01:34, 13.05iter/s]
Best score: 0.3157: : 1087iter [01:34, 13.05iter/s]
Best score: 0.3157: : 1088iter [01:34, 13.05iter/s]
Best score: 0.3157: : 1089iter [01:34, 13.00iter/s]
Best score: 0.3157: : 1089iter [01:34, 13.00iter/s]
Best score: 0.3157: : 1090iter [01:34, 13.00iter/s]
Best score: 0.3157: : 1091iter [01:34, 12.75iter/s]
Best score: 0.3157: : 1091iter [01:34, 12.75iter/s]
Best score: 0.3157: : 1092iter [01:34, 12.75iter/s]
Best score: 0.3157: : 1093iter [01:34, 12.87iter/s]
Best score: 0.3157: : 1093iter [01:34, 12.87iter/s]
Best score: 0.3157: : 1094iter [01:34, 12.87iter/s]
Best score: 0.3157: : 1095iter [01:34, 12.98iter/s]
Best score: 0.3157: : 1095iter [01:34, 12.98iter/s]
Best score: 0.3157: : 1096iter [01:34, 12.98iter/s]
Best score: 0.3157: : 1097iter [01:34, 13.08iter/s]
Best score: 0.3157: : 1097iter [01:34, 13.08iter/s]
Best score: 0.3157: : 1098iter [01:35, 13.08iter/s]
Best score: 0.3157: : 1099iter [01:35, 13.12iter/s]
[ITER 1100] Best: 0.3142
[PARAMS] Current best parameters:
  fx: 689.3211
  fy: 689.4296
  px: 997.8255
  py: 769.9002
  k1: -0.25642952
  k2: 0.18701221
  k3: -0.09888143
  k4: 0.02192812
  p1: -0.01168174
  p2: -0.02054498
  p3: 0.00993667
  p4: 0.00982592
  s1: 0.0006
  s2: -0.0062
  s3: 0.0047
  s4: -0.0125
  tilt_x: -0.0366
  tilt_y: -0.0184
  scale: 3.0003
  rotation: 0.2690

Best score: 0.3142: : 1099iter [01:35, 13.12iter/s]
Best score: 0.3142: : 1100iter [01:35, 11.53iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.314174 -> 0.297286

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 91,804 → 85,262 within 3500mm ring
  Ring polish did not improve score: 0.297286
  Success: False
  Tangential distortion: p1=-0.010213, p2=-0.015875, p3=0.008337, p4=0.010426
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.2973
[✅] Parameters copied to: /working/MDC057_W002(6)_2025-07-24/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 689.3213562581299
    fy: 689.429293977801
    px: 997.8256497387955
    py: 769.9001107926969
    k1: -0.2503223298170651
    k2: 0.1741100130346671
    k3: -0.08958640358331045
    k4: 0.019746371434446665
    p1: -0.01021259547275703
    p2: -0.01587514342638999
    p3: 0.008337401945427673
    p4: 0.01042587645690985
    scale: 2.9961512251937363
    rotation: 0.2691828970967314
    mmpp: 3.43446667329564
    nmpp: 3434466.67329564

[🔄] Converting 946 frames to PTD, creating debug images for 400 calibration frames...

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[✅] Saved PTDs: /working/MDC057_W002(6)_2025-07-24/calibration/debug/4_undistorted/output/ptd

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[✅] Saved PTDs: /working/MDC057_W002(6)_2025-07-24/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:  72%|███████▏  | 2214389/3080448 [00:02<00:00, 915312.24px/s]
📤 Writing LUT:  75%|███████▍  | 2305926/3080448 [00:02<00:00, 909655.02px/s]
📤 Writing LUT:  78%|███████▊  | 2396901/3080448 [00:02<00:00, 907115.38px/s]
📤 Writing LUT:  81%|████████  | 2488633/3080448 [00:02<00:00, 910151.19px/s]
📤 Writing LUT:  84%|████████▍ | 2580038/3080448 [00:02<00:00, 911314.38px/s]
📤 Writing LUT:  87%|████████▋ | 2674128/3080448 [00:02<00:00, 920156.77px/s]
📤 Writing LUT:  90%|████████▉ | 2766151/3080448 [00:03<00:00, 918640.09px/s]
📤 Writing LUT:  93%|█████████▎| 2858020/3080448 [00:03<00:00, 916974.67px/s]
📤 Writing LUT:  96%|█████████▌| 2950591/3080448 [00:03<00:00, 919585.44px/s]
📤 Writing LUT:  99%|█████████▉| 3042554/3080448 [00:03<00:00, 917132.44px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 916740.90px/s]
[✅] LUT written to: /working/MDC057_W002(6)_2025-07-24/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC057_W002(6)_2025-07-24' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC057_W002(6)_2025-07-24/calibration/MDC057_W002(6)_2025-07-24_unknown.lut

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

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

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

   🔥 2000R:   0%|          | 0/225 [00:00<?, ?frame/s]

   🔥 2000R:   4%|▎         | 8/225 [00:00<00:02, 77.01frame/s]

   🔥 2000R:   7%|▋         | 16/225 [00:00<00:02, 77.21frame/s]

   🔥 2000R:  11%|█         | 24/225 [00:00<00:02, 77.50frame/s]

   🔥 2000R:  14%|█▍        | 32/225 [00:00<00:02, 77.67frame/s]

   🔥 2000R:  18%|█▊        | 41/225 [00:00<00:02, 79.83frame/s]

   🔥 2000R:  22%|██▏       | 50/225 [00:00<00:02, 80.50frame/s]

   🔥 2000R:  26%|██▌       | 59/225 [00:00<00:02, 81.17frame/s]

   🔥 2000R:  30%|███       | 68/225 [00:00<00:01, 82.77frame/s]

   🔥 2000R:  35%|███▍      | 78/225 [00:00<00:01, 86.69frame/s]

   🔥 2000R:  40%|████      | 90/225 [00:01<00:01, 93.89frame/s]

   🔥 2000R:  45%|████▍     | 101/225 [00:01<00:01, 96.17frame/s]

   🔥 2000R:  49%|████▉     | 111/225 [00:01<00:01, 96.80frame/s]

   🔥 2000R:  54%|█████▍    | 121/225 [00:01<00:01, 97.52frame/s]

   🔥 2000R:  59%|█████▊    | 132/225 [00:01<00:00, 99.95frame/s]

   🔥 2000R:  64%|██████▎   | 143/225 [00:01<00:00, 101.46frame/s]

   🔥 2000R:  69%|██████▉   | 155/225 [00:01<00:00, 103.80frame/s]

   🔥 2000R:  74%|███████▍  | 166/225 [00:01<00:00, 100.97frame/s]

   🔥 2000R:  79%|███████▊  | 177/225 [00:01<00:00, 97.29frame/s] 

   🔥 2000R:  83%|████████▎ | 187/225 [00:02<00:00, 94.91frame/s]

   🔥 2000R:  88%|████████▊ | 197/225 [00:02<00:00, 91.54frame/s]

   🔥 2000R:  92%|█████████▏| 207/225 [00:02<00:00, 87.34frame/s]

   🔥 2000R:  96%|█████████▌| 216/225 [00:02<00:00, 84.30frame/s]

   🔥 2000R: 100%|██████████| 225/225 [00:02<00:00, 82.21frame/s]

                                                                 [✅] 2000R: /working/MDC057_W002(6)_2025-07-24/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC057_W002(6)_2025-07-24/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:04<00:12,  4.05s/rig]

   🔥 2000L:   0%|          | 0/231 [00:00<?, ?frame/s]

   🔥 2000L:   3%|▎         | 8/231 [00:00<00:02, 76.44frame/s]

   🔥 2000L:   7%|▋         | 17/231 [00:00<00:02, 79.06frame/s]

   🔥 2000L:  11%|█         | 25/231 [00:00<00:02, 79.17frame/s]

   🔥 2000L:  15%|█▍        | 34/231 [00:00<00:02, 81.46frame/s]

   🔥 2000L:  19%|█▊        | 43/231 [00:00<00:02, 83.63frame/s]

   🔥 2000L:  23%|██▎       | 53/231 [00:00<00:02, 87.25frame/s]

   🔥 2000L:  28%|██▊       | 64/231 [00:00<00:01, 93.73frame/s]

   🔥 2000L:  32%|███▏      | 75/231 [00:00<00:01, 98.17frame/s]

   🔥 2000L:  37%|███▋      | 86/231 [00:00<00:01, 99.19frame/s]

   🔥 2000L:  42%|████▏     | 96/231 [00:01<00:01, 98.22frame/s]

   🔥 2000L:  46%|████▌     | 106/231 [00:01<00:01, 96.05frame/s]

   🔥 2000L:  50%|█████     | 116/231 [00:01<00:01, 93.86frame/s]

   🔥 2000L:  55%|█████▍    | 126/231 [00:01<00:01, 92.90frame/s]

   🔥 2000L:  59%|█████▉    | 136/231 [00:01<00:01, 92.68frame/s]

   🔥 2000L:  63%|██████▎   | 146/231 [00:01<00:00, 94.29frame/s]

   🔥 2000L:  68%|██████▊   | 157/231 [00:01<00:00, 96.61frame/s]

   🔥 2000L:  72%|███████▏  | 167/231 [00:01<00:00, 95.24frame/s]

   🔥 2000L:  77%|███████▋  | 177/231 [00:01<00:00, 92.40frame/s]

   🔥 2000L:  81%|████████  | 187/231 [00:02<00:00, 90.05frame/s]

   🔥 2000L:  85%|████████▌ | 197/231 [00:02<00:00, 87.36frame/s]

   🔥 2000L:  89%|████████▉ | 206/231 [00:02<00:00, 85.47frame/s]

   🔥 2000L:  93%|█████████▎| 215/231 [00:02<00:00, 83.70frame/s]

   🔥 2000L:  97%|█████████▋| 224/231 [00:02<00:00, 82.62frame/s]

                                                                 [✅] 2000L: /working/MDC057_W002(6)_2025-07-24/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC057_W002(6)_2025-07-24/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:08<00:08,  4.08s/rig]

   🔥 1500:   0%|          | 0/289 [00:00<?, ?frame/s]

   🔥 1500:   3%|▎         | 10/289 [00:00<00:03, 90.94frame/s]

   🔥 1500:   7%|▋         | 20/289 [00:00<00:03, 86.41frame/s]

   🔥 1500:  10%|█         | 29/289 [00:00<00:03, 86.17frame/s]

   🔥 1500:  13%|█▎        | 38/289 [00:00<00:02, 84.42frame/s]

   🔥 1500:  16%|█▋        | 47/289 [00:00<00:02, 82.35frame/s]

   🔥 1500:  19%|█▉        | 56/289 [00:00<00:02, 81.00frame/s]

   🔥 1500:  22%|██▏       | 65/289 [00:00<00:02, 79.77frame/s]

   🔥 1500:  25%|██▌       | 73/289 [00:00<00:02, 79.42frame/s]

   🔥 1500:  28%|██▊       | 81/289 [00:00<00:02, 78.64frame/s]

   🔥 1500:  31%|███       | 89/289 [00:01<00:02, 78.48frame/s]

   🔥 1500:  34%|███▎      | 97/289 [00:01<00:02, 78.82frame/s]

   🔥 1500:  37%|███▋      | 106/289 [00:01<00:02, 79.55frame/s]

   🔥 1500:  40%|███▉      | 115/289 [00:01<00:02, 79.74frame/s]

   🔥 1500:  43%|████▎     | 124/289 [00:01<00:02, 80.14frame/s]

   🔥 1500:  46%|████▌     | 133/289 [00:01<00:01, 80.23frame/s]

   🔥 1500:  49%|████▉     | 142/289 [00:01<00:01, 80.73frame/s]

   🔥 1500:  52%|█████▏    | 151/289 [00:01<00:01, 82.93frame/s]

   🔥 1500:  56%|█████▌    | 161/289 [00:01<00:01, 86.88frame/s]

   🔥 1500:  59%|█████▉    | 171/289 [00:02<00:01, 89.47frame/s]

   🔥 1500:  62%|██████▏   | 180/289 [00:02<00:01, 89.32frame/s]

   🔥 1500:  65%|██████▌   | 189/289 [00:02<00:01, 87.09frame/s]

   🔥 1500:  69%|██████▊   | 198/289 [00:02<00:01, 86.18frame/s]

   🔥 1500:  72%|███████▏  | 207/289 [00:02<00:00, 86.12frame/s]

   🔥 1500:  75%|███████▌  | 217/289 [00:02<00:00, 87.47frame/s]

   🔥 1500:  79%|███████▊  | 227/289 [00:02<00:00, 89.08frame/s]

   🔥 1500:  82%|████████▏ | 236/289 [00:02<00:00, 88.88frame/s]

   🔥 1500:  85%|████████▍ | 245/289 [00:02<00:00, 87.69frame/s]

   🔥 1500:  88%|████████▊ | 254/289 [00:03<00:00, 85.99frame/s]

   🔥 1500:  91%|█████████ | 263/289 [00:03<00:00, 84.72frame/s]

   🔥 1500:  94%|█████████▍| 272/289 [00:03<00:00, 84.33frame/s]

   🔥 1500:  97%|█████████▋| 281/289 [00:03<00:00, 83.68frame/s]

                                                                [✅] 1500: /working/MDC057_W002(6)_2025-07-24/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC057_W002(6)_2025-07-24/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:12<00:04,  4.41s/rig]

   🔥 1000:   0%|          | 0/201 [00:00<?, ?frame/s]

   🔥 1000:   5%|▍         | 10/201 [00:00<00:02, 95.23frame/s]

   🔥 1000:  10%|▉         | 20/201 [00:00<00:01, 95.22frame/s]

   🔥 1000:  15%|█▍        | 30/201 [00:00<00:01, 94.36frame/s]

   🔥 1000:  20%|█▉        | 40/201 [00:00<00:01, 91.65frame/s]

   🔥 1000:  25%|██▍       | 50/201 [00:00<00:01, 88.16frame/s]

   🔥 1000:  29%|██▉       | 59/201 [00:00<00:01, 85.76frame/s]

   🔥 1000:  34%|███▍      | 68/201 [00:00<00:01, 84.70frame/s]

   🔥 1000:  38%|███▊      | 77/201 [00:00<00:01, 83.09frame/s]

   🔥 1000:  43%|████▎     | 86/201 [00:00<00:01, 83.01frame/s]

   🔥 1000:  47%|████▋     | 95/201 [00:01<00:01, 82.84frame/s]

   🔥 1000:  52%|█████▏    | 105/201 [00:01<00:01, 85.54frame/s]

   🔥 1000:  57%|█████▋    | 115/201 [00:01<00:00, 88.44frame/s]

   🔥 1000:  63%|██████▎   | 126/201 [00:01<00:00, 91.94frame/s]

   🔥 1000:  68%|██████▊   | 136/201 [00:01<00:00, 91.42frame/s]

   🔥 1000:  73%|███████▎  | 146/201 [00:01<00:00, 91.10frame/s]

   🔥 1000:  78%|███████▊  | 156/201 [00:01<00:00, 93.05frame/s]

   🔥 1000:  83%|████████▎ | 166/201 [00:01<00:00, 94.47frame/s]

   🔥 1000:  88%|████████▊ | 176/201 [00:01<00:00, 94.05frame/s]

   🔥 1000:  93%|█████████▎| 186/201 [00:02<00:00, 94.64frame/s]

   🔥 1000:  98%|█████████▊| 196/201 [00:02<00:00, 94.72frame/s]

                                                                [✅] 1000: /working/MDC057_W002(6)_2025-07-24/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC057_W002(6)_2025-07-24/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:15<00:00,  3.81s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:15<00:00,  3.96s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC057_W002(6)_2025-07-24/calibration/debug/5_heatmap
[🏁] Finished processing MDC057_W002(6)_2025-07-24


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