🟢 Starting Calibration Pipeline

=== Processing MDC048_W021(6)_2025-11-19 ===

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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 370 stationary frames, 140 remain


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→ 1000 (140 images) Phase 1:  95%|█████████▌| 133/140 [00:12<00:00, 11.37it/s]

                                                                              

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→ 1000 Phase 2: corners:  93%|█████████▎| 130/140 [02:10<00:09,  1.01it/s]

→ 1000 Phase 2: corners:  94%|█████████▎| 131/140 [02:11<00:08,  1.00it/s]

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→ 1000 Phase 2: corners:  96%|█████████▌| 134/140 [02:14<00:05,  1.01it/s]

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→ 1000 Phase 2: corners:  98%|█████████▊| 137/140 [02:17<00:03,  1.01s/it]

→ 1000 Phase 2: corners:  99%|█████████▊| 138/140 [02:18<00:01,  1.00it/s]

→ 1000 Phase 2: corners:  99%|█████████▉| 139/140 [02:19<00:00,  1.01it/s]

→ 1000 Phase 2: corners: 100%|██████████| 140/140 [02:20<00:00,  1.02it/s]

                                                                          [PASS2] Frame 0000301: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000565: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000566: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000567: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000568: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000569: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000570: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000571: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000572: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000301: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000567: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000571: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000301: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Summary: 4 frames fixed, 6 untrusted, 140 total


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→ 1000 Phase 3: finalize:  65%|██████▌   | 91/140 [00:06<00:03, 14.03it/s]

→ 1000 Phase 3: finalize:  66%|██████▋   | 93/140 [00:06<00:03, 14.02it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 95/140 [00:07<00:03, 14.04it/s]

→ 1000 Phase 3: finalize:  69%|██████▉   | 97/140 [00:07<00:03, 14.09it/s]

→ 1000 Phase 3: finalize:  71%|███████   | 99/140 [00:07<00:02, 14.14it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 101/140 [00:07<00:02, 14.16it/s]

→ 1000 Phase 3: finalize:  74%|███████▎  | 103/140 [00:07<00:02, 14.17it/s]

→ 1000 Phase 3: finalize:  75%|███████▌  | 105/140 [00:07<00:02, 14.20it/s]

→ 1000 Phase 3: finalize:  76%|███████▋  | 107/140 [00:07<00:02, 14.18it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 109/140 [00:08<00:02, 14.11it/s]

→ 1000 Phase 3: finalize:  79%|███████▉  | 111/140 [00:08<00:02, 14.10it/s]

→ 1000 Phase 3: finalize:  81%|████████  | 113/140 [00:08<00:01, 14.08it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 115/140 [00:08<00:01, 13.97it/s]

→ 1000 Phase 3: finalize:  84%|████████▎ | 117/140 [00:08<00:01, 13.92it/s]

→ 1000 Phase 3: finalize:  85%|████████▌ | 119/140 [00:08<00:01, 13.87it/s]

→ 1000 Phase 3: finalize:  86%|████████▋ | 121/140 [00:08<00:01, 13.84it/s]

→ 1000 Phase 3: finalize:  88%|████████▊ | 123/140 [00:09<00:01, 13.80it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 125/140 [00:09<00:01, 13.77it/s]

→ 1000 Phase 3: finalize:  91%|█████████ | 127/140 [00:09<00:00, 13.73it/s]

→ 1000 Phase 3: finalize:  92%|█████████▏| 129/140 [00:09<00:00, 13.64it/s]

→ 1000 Phase 3: finalize:  94%|█████████▎| 131/140 [00:09<00:00, 13.58it/s]

→ 1000 Phase 3: finalize:  95%|█████████▌| 133/140 [00:09<00:00, 13.54it/s]

→ 1000 Phase 3: finalize:  96%|█████████▋| 135/140 [00:09<00:00, 13.51it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 137/140 [00:10<00:00, 13.43it/s]

→ 1000 Phase 3: finalize:  99%|█████████▉| 139/140 [00:10<00:00, 13.38it/s]

                                                                           
Processing Rigs:  25%|██▌       | 1/4 [02:45<08:17, 165.83s/it][INFO] Filtered 481 stationary frames, 202 remain


→ 1500 (202 images) Phase 1:   0%|          | 0/202 [00:00<?, ?it/s]

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→ 1500 (202 images) Phase 1:  16%|█▋        | 33/202 [00:05<00:25,  6.74it/s]

→ 1500 (202 images) Phase 1:  32%|███▏      | 64/202 [00:05<00:09, 15.25it/s]

→ 1500 (202 images) Phase 1:  37%|███▋      | 75/202 [00:08<00:13,  9.59it/s]

→ 1500 (202 images) Phase 1:  48%|████▊     | 96/202 [00:08<00:07, 14.99it/s]

→ 1500 (202 images) Phase 1:  53%|█████▎    | 107/202 [00:11<00:09,  9.59it/s]

→ 1500 (202 images) Phase 1:  62%|██████▏   | 126/202 [00:11<00:05, 14.37it/s]

→ 1500 (202 images) Phase 1:  67%|██████▋   | 136/202 [00:13<00:07,  9.12it/s]

→ 1500 (202 images) Phase 1:  77%|███████▋  | 156/202 [00:14<00:03, 14.17it/s]

→ 1500 (202 images) Phase 1:  83%|████████▎ | 167/202 [00:16<00:03,  9.18it/s]

→ 1500 (202 images) Phase 1:  93%|█████████▎| 187/202 [00:16<00:01, 14.22it/s]

→ 1500 (202 images) Phase 1:  99%|█████████▊| 199/202 [00:18<00:00, 12.02it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/202 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/202 [00:00<02:56,  1.14it/s]

→ 1500 Phase 2: corners:   1%|          | 2/202 [00:01<02:54,  1.14it/s]

→ 1500 Phase 2: corners:   1%|▏         | 3/202 [00:02<02:48,  1.18it/s]

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→ 1500 Phase 2: corners:   2%|▏         | 5/202 [00:04<02:46,  1.19it/s]

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→ 1500 Phase 2: corners:  10%|█         | 21/202 [00:17<02:39,  1.13it/s]

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→ 1500 Phase 2: corners:  12%|█▏        | 25/202 [00:20<02:37,  1.12it/s]

→ 1500 Phase 2: corners:  13%|█▎        | 26/202 [00:21<02:39,  1.11it/s]

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→ 1500 Phase 2: corners:  14%|█▍        | 28/202 [00:23<02:32,  1.14it/s]

→ 1500 Phase 2: corners:  14%|█▍        | 29/202 [00:24<02:29,  1.15it/s]

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→ 1500 Phase 2: corners:  18%|█▊        | 36/202 [00:30<02:29,  1.11it/s]

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→ 1500 Phase 2: corners:  20%|█▉        | 40/202 [00:34<02:28,  1.09it/s]

→ 1500 Phase 2: corners:  20%|██        | 41/202 [00:35<02:25,  1.11it/s]

→ 1500 Phase 2: corners:  21%|██        | 42/202 [00:36<02:26,  1.09it/s]

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→ 1500 Phase 2: corners:  25%|██▍       | 50/202 [00:43<02:16,  1.12it/s]

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→ 1500 Phase 2: corners:  30%|██▉       | 60/202 [00:52<02:12,  1.07it/s]

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→ 1500 Phase 2: corners:  31%|███       | 62/202 [00:54<02:12,  1.06it/s]

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→ 1500 Phase 2: corners:  32%|███▏      | 64/202 [00:56<02:16,  1.01it/s]

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→ 1500 Phase 2: corners:  34%|███▎      | 68/202 [01:00<02:10,  1.03it/s]

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→ 1500 Phase 2: corners:  54%|█████▍    | 110/202 [01:39<01:24,  1.09it/s]

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→ 1500 Phase 2: corners:  59%|█████▉    | 119/202 [01:48<01:19,  1.05it/s]

→ 1500 Phase 2: corners:  59%|█████▉    | 120/202 [01:49<01:18,  1.05it/s]

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→ 1500 Phase 2: corners:  64%|██████▍   | 129/202 [01:58<01:12,  1.01it/s]

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→ 1500 Phase 2: corners:  72%|███████▏  | 145/202 [02:13<00:52,  1.08it/s]

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→ 1500 Phase 2: corners:  74%|███████▍  | 149/202 [02:16<00:48,  1.10it/s]

→ 1500 Phase 2: corners:  74%|███████▍  | 150/202 [02:17<00:46,  1.11it/s]

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→ 1500 Phase 2: corners:  76%|███████▌  | 154/202 [02:21<00:43,  1.11it/s]

→ 1500 Phase 2: corners:  77%|███████▋  | 155/202 [02:22<00:41,  1.13it/s]

→ 1500 Phase 2: corners:  77%|███████▋  | 156/202 [02:23<00:39,  1.15it/s]

→ 1500 Phase 2: corners:  78%|███████▊  | 157/202 [02:23<00:38,  1.16it/s]

→ 1500 Phase 2: corners:  78%|███████▊  | 158/202 [02:24<00:38,  1.14it/s]

→ 1500 Phase 2: corners:  79%|███████▊  | 159/202 [02:25<00:37,  1.15it/s]

→ 1500 Phase 2: corners:  79%|███████▉  | 160/202 [02:26<00:36,  1.14it/s]

→ 1500 Phase 2: corners:  80%|███████▉  | 161/202 [02:27<00:37,  1.11it/s]

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→ 1500 Phase 2: corners:  81%|████████  | 163/202 [02:29<00:37,  1.05it/s]

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→ 1500 Phase 2: corners:  82%|████████▏ | 165/202 [02:31<00:36,  1.02it/s]

→ 1500 Phase 2: corners:  82%|████████▏ | 166/202 [02:32<00:34,  1.04it/s]

→ 1500 Phase 2: corners:  83%|████████▎ | 167/202 [02:33<00:33,  1.03it/s]

→ 1500 Phase 2: corners:  83%|████████▎ | 168/202 [02:34<00:32,  1.06it/s]

→ 1500 Phase 2: corners:  84%|████████▎ | 169/202 [02:35<00:31,  1.06it/s]

→ 1500 Phase 2: corners:  84%|████████▍ | 170/202 [02:36<00:29,  1.07it/s]

→ 1500 Phase 2: corners:  85%|████████▍ | 171/202 [02:37<00:28,  1.10it/s]

→ 1500 Phase 2: corners:  85%|████████▌ | 172/202 [02:37<00:26,  1.13it/s]

→ 1500 Phase 2: corners:  86%|████████▌ | 173/202 [02:38<00:25,  1.13it/s]

→ 1500 Phase 2: corners:  86%|████████▌ | 174/202 [02:39<00:24,  1.13it/s]

→ 1500 Phase 2: corners:  87%|████████▋ | 175/202 [02:40<00:23,  1.13it/s]

→ 1500 Phase 2: corners:  87%|████████▋ | 176/202 [02:41<00:22,  1.14it/s]

→ 1500 Phase 2: corners:  88%|████████▊ | 177/202 [02:42<00:21,  1.15it/s]

→ 1500 Phase 2: corners:  88%|████████▊ | 178/202 [02:43<00:20,  1.15it/s]

→ 1500 Phase 2: corners:  89%|████████▊ | 179/202 [02:43<00:19,  1.16it/s]

→ 1500 Phase 2: corners:  89%|████████▉ | 180/202 [02:44<00:18,  1.17it/s]

→ 1500 Phase 2: corners:  90%|████████▉ | 181/202 [02:45<00:17,  1.19it/s]

→ 1500 Phase 2: corners:  90%|█████████ | 182/202 [02:46<00:17,  1.17it/s]

→ 1500 Phase 2: corners:  91%|█████████ | 183/202 [02:47<00:16,  1.18it/s]

→ 1500 Phase 2: corners:  91%|█████████ | 184/202 [02:48<00:15,  1.17it/s]

→ 1500 Phase 2: corners:  92%|█████████▏| 185/202 [02:48<00:14,  1.18it/s]

→ 1500 Phase 2: corners:  92%|█████████▏| 186/202 [02:49<00:13,  1.18it/s]

→ 1500 Phase 2: corners:  93%|█████████▎| 187/202 [02:50<00:12,  1.18it/s]

→ 1500 Phase 2: corners:  93%|█████████▎| 188/202 [02:51<00:11,  1.18it/s]

→ 1500 Phase 2: corners:  94%|█████████▎| 189/202 [02:52<00:11,  1.18it/s]

→ 1500 Phase 2: corners:  94%|█████████▍| 190/202 [02:53<00:10,  1.19it/s]

→ 1500 Phase 2: corners:  95%|█████████▍| 191/202 [02:54<00:09,  1.19it/s]

→ 1500 Phase 2: corners:  95%|█████████▌| 192/202 [02:54<00:08,  1.19it/s]

→ 1500 Phase 2: corners:  96%|█████████▌| 193/202 [02:55<00:07,  1.20it/s]

→ 1500 Phase 2: corners:  96%|█████████▌| 194/202 [02:56<00:06,  1.20it/s]

→ 1500 Phase 2: corners:  97%|█████████▋| 195/202 [02:57<00:05,  1.20it/s]

→ 1500 Phase 2: corners:  97%|█████████▋| 196/202 [02:58<00:04,  1.20it/s]

→ 1500 Phase 2: corners:  98%|█████████▊| 197/202 [02:59<00:04,  1.21it/s]

→ 1500 Phase 2: corners:  98%|█████████▊| 198/202 [02:59<00:03,  1.21it/s]

→ 1500 Phase 2: corners:  99%|█████████▊| 199/202 [03:00<00:02,  1.20it/s]

→ 1500 Phase 2: corners:  99%|█████████▉| 200/202 [03:01<00:01,  1.21it/s]

→ 1500 Phase 2: corners: 100%|█████████▉| 201/202 [03:02<00:00,  1.21it/s]

→ 1500 Phase 2: corners: 100%|██████████| 202/202 [03:03<00:00,  1.20it/s]

                                                                          [PASS2] Frame 0000338: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000647: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000648: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000649: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000650: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000338: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000649: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000338: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Summary: 2 frames fixed, 4 untrusted, 202 total


→ 1500 Phase 3: finalize:   0%|          | 0/202 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   1%|          | 2/202 [00:00<00:15, 12.51it/s]

→ 1500 Phase 3: finalize:   2%|▏         | 4/202 [00:00<00:15, 12.63it/s]

→ 1500 Phase 3: finalize:   3%|▎         | 6/202 [00:00<00:15, 12.69it/s]

→ 1500 Phase 3: finalize:   4%|▍         | 9/202 [00:00<00:12, 14.94it/s]

→ 1500 Phase 3: finalize:   5%|▌         | 11/202 [00:00<00:13, 14.36it/s]

→ 1500 Phase 3: finalize:   6%|▋         | 13/202 [00:00<00:13, 14.00it/s]

→ 1500 Phase 3: finalize:   7%|▋         | 15/202 [00:01<00:13, 13.77it/s]

→ 1500 Phase 3: finalize:   8%|▊         | 17/202 [00:01<00:13, 13.59it/s]

→ 1500 Phase 3: finalize:   9%|▉         | 19/202 [00:01<00:13, 13.53it/s]

→ 1500 Phase 3: finalize:  10%|█         | 21/202 [00:01<00:13, 13.43it/s]

→ 1500 Phase 3: finalize:  11%|█▏        | 23/202 [00:01<00:13, 13.38it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 25/202 [00:01<00:13, 13.33it/s]

→ 1500 Phase 3: finalize:  13%|█▎        | 27/202 [00:01<00:13, 13.27it/s]

→ 1500 Phase 3: finalize:  14%|█▍        | 29/202 [00:02<00:13, 13.31it/s]

→ 1500 Phase 3: finalize:  15%|█▌        | 31/202 [00:02<00:12, 13.29it/s]

→ 1500 Phase 3: finalize:  16%|█▋        | 33/202 [00:02<00:12, 13.29it/s]

→ 1500 Phase 3: finalize:  17%|█▋        | 35/202 [00:02<00:12, 13.23it/s]

→ 1500 Phase 3: finalize:  18%|█▊        | 37/202 [00:02<00:12, 13.15it/s]

→ 1500 Phase 3: finalize:  19%|█▉        | 39/202 [00:02<00:12, 13.12it/s]

→ 1500 Phase 3: finalize:  20%|██        | 41/202 [00:03<00:12, 13.04it/s]

→ 1500 Phase 3: finalize:  21%|██▏       | 43/202 [00:03<00:12, 13.04it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 45/202 [00:03<00:12, 12.96it/s]

→ 1500 Phase 3: finalize:  23%|██▎       | 47/202 [00:03<00:12, 12.91it/s]

→ 1500 Phase 3: finalize:  24%|██▍       | 49/202 [00:03<00:11, 12.93it/s]

→ 1500 Phase 3: finalize:  25%|██▌       | 51/202 [00:03<00:11, 12.90it/s]

→ 1500 Phase 3: finalize:  26%|██▌       | 53/202 [00:03<00:11, 12.92it/s]

→ 1500 Phase 3: finalize:  27%|██▋       | 55/202 [00:04<00:11, 12.87it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 57/202 [00:04<00:11, 12.86it/s]

→ 1500 Phase 3: finalize:  29%|██▉       | 59/202 [00:04<00:11, 12.90it/s]

→ 1500 Phase 3: finalize:  30%|███       | 61/202 [00:04<00:10, 12.84it/s]

→ 1500 Phase 3: finalize:  31%|███       | 63/202 [00:04<00:10, 12.78it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 65/202 [00:04<00:10, 12.73it/s]

→ 1500 Phase 3: finalize:  33%|███▎      | 67/202 [00:05<00:10, 12.72it/s]

→ 1500 Phase 3: finalize:  34%|███▍      | 69/202 [00:05<00:10, 12.71it/s]

→ 1500 Phase 3: finalize:  35%|███▌      | 71/202 [00:05<00:10, 12.69it/s]

→ 1500 Phase 3: finalize:  36%|███▌      | 73/202 [00:05<00:10, 12.68it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 75/202 [00:05<00:10, 12.69it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 77/202 [00:05<00:09, 12.66it/s]

→ 1500 Phase 3: finalize:  39%|███▉      | 79/202 [00:06<00:09, 12.68it/s]

→ 1500 Phase 3: finalize:  40%|████      | 81/202 [00:06<00:09, 12.67it/s]

→ 1500 Phase 3: finalize:  41%|████      | 83/202 [00:06<00:09, 13.08it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 85/202 [00:06<00:09, 12.97it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 87/202 [00:06<00:08, 12.99it/s]

→ 1500 Phase 3: finalize:  44%|████▍     | 89/202 [00:06<00:08, 12.98it/s]

→ 1500 Phase 3: finalize:  45%|████▌     | 91/202 [00:06<00:08, 13.09it/s]

→ 1500 Phase 3: finalize:  46%|████▌     | 93/202 [00:07<00:08, 13.15it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 95/202 [00:07<00:08, 13.17it/s]

→ 1500 Phase 3: finalize:  48%|████▊     | 97/202 [00:07<00:07, 13.33it/s]

→ 1500 Phase 3: finalize:  49%|████▉     | 99/202 [00:07<00:07, 13.49it/s]

→ 1500 Phase 3: finalize:  50%|█████     | 101/202 [00:07<00:07, 13.67it/s]

→ 1500 Phase 3: finalize:  51%|█████     | 103/202 [00:07<00:07, 13.72it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 105/202 [00:07<00:07, 13.81it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 107/202 [00:08<00:06, 13.88it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 109/202 [00:08<00:06, 13.96it/s]

→ 1500 Phase 3: finalize:  55%|█████▍    | 111/202 [00:08<00:06, 14.02it/s]

→ 1500 Phase 3: finalize:  56%|█████▌    | 113/202 [00:08<00:06, 14.08it/s]

→ 1500 Phase 3: finalize:  57%|█████▋    | 115/202 [00:08<00:06, 14.09it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 117/202 [00:08<00:06, 14.02it/s]

→ 1500 Phase 3: finalize:  59%|█████▉    | 119/202 [00:08<00:05, 14.04it/s]

→ 1500 Phase 3: finalize:  60%|█████▉    | 121/202 [00:09<00:05, 14.02it/s]

→ 1500 Phase 3: finalize:  61%|██████    | 123/202 [00:09<00:05, 13.97it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 125/202 [00:09<00:05, 13.96it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 127/202 [00:09<00:05, 13.91it/s]

→ 1500 Phase 3: finalize:  64%|██████▍   | 129/202 [00:09<00:05, 13.88it/s]

→ 1500 Phase 3: finalize:  65%|██████▍   | 131/202 [00:09<00:05, 13.92it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 133/202 [00:09<00:04, 13.95it/s]

→ 1500 Phase 3: finalize:  67%|██████▋   | 135/202 [00:10<00:04, 13.97it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 137/202 [00:10<00:04, 13.98it/s]

→ 1500 Phase 3: finalize:  69%|██████▉   | 139/202 [00:10<00:04, 13.98it/s]

→ 1500 Phase 3: finalize:  70%|██████▉   | 141/202 [00:10<00:04, 14.00it/s]

→ 1500 Phase 3: finalize:  71%|███████   | 143/202 [00:10<00:04, 13.92it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 145/202 [00:10<00:04, 13.82it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 147/202 [00:10<00:03, 13.76it/s]

→ 1500 Phase 3: finalize:  74%|███████▍  | 149/202 [00:11<00:03, 13.68it/s]

→ 1500 Phase 3: finalize:  75%|███████▍  | 151/202 [00:11<00:03, 13.66it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 153/202 [00:11<00:03, 13.67it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 155/202 [00:11<00:03, 13.58it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 157/202 [00:11<00:03, 13.50it/s]

→ 1500 Phase 3: finalize:  79%|███████▊  | 159/202 [00:11<00:03, 13.46it/s]

→ 1500 Phase 3: finalize:  80%|███████▉  | 161/202 [00:12<00:03, 13.41it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 163/202 [00:12<00:02, 13.35it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 165/202 [00:12<00:02, 13.28it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 167/202 [00:12<00:02, 13.22it/s]

→ 1500 Phase 3: finalize:  84%|████████▎ | 169/202 [00:12<00:02, 13.20it/s]

→ 1500 Phase 3: finalize:  85%|████████▍ | 171/202 [00:12<00:02, 13.17it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 173/202 [00:12<00:02, 13.20it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 175/202 [00:13<00:02, 13.23it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 177/202 [00:13<00:01, 13.26it/s]

→ 1500 Phase 3: finalize:  89%|████████▊ | 179/202 [00:13<00:01, 13.01it/s]

→ 1500 Phase 3: finalize:  90%|████████▉ | 181/202 [00:13<00:01, 13.12it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 183/202 [00:13<00:01, 13.19it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 185/202 [00:13<00:01, 13.24it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 187/202 [00:13<00:01, 13.29it/s]

→ 1500 Phase 3: finalize:  94%|█████████▎| 189/202 [00:14<00:00, 13.31it/s]

→ 1500 Phase 3: finalize:  95%|█████████▍| 191/202 [00:14<00:00, 13.33it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 193/202 [00:14<00:00, 13.35it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 195/202 [00:14<00:00, 13.36it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 197/202 [00:14<00:00, 13.35it/s]

→ 1500 Phase 3: finalize:  99%|█████████▊| 199/202 [00:14<00:00, 13.39it/s]

→ 1500 Phase 3: finalize: 100%|█████████▉| 201/202 [00:15<00:00, 13.36it/s]

                                                                           
Processing Rigs:  50%|█████     | 2/4 [06:24<06:34, 197.14s/it][INFO] Filtered 469 stationary frames, 204 remain


→ 2000L (204 images) Phase 1:   0%|          | 0/204 [00:00<?, ?it/s]

→ 2000L (204 images) Phase 1:   0%|          | 1/204 [00:03<10:43,  3.17s/it]

→ 2000L (204 images) Phase 1:  16%|█▌        | 33/204 [00:05<00:26,  6.55it/s]

→ 2000L (204 images) Phase 1:  30%|███       | 62/204 [00:06<00:09, 14.42it/s]

→ 2000L (204 images) Phase 1:  37%|███▋      | 75/204 [00:08<00:13,  9.58it/s]

→ 2000L (204 images) Phase 1:  47%|████▋     | 95/204 [00:08<00:07, 14.70it/s]

→ 2000L (204 images) Phase 1:  53%|█████▎    | 108/204 [00:11<00:09,  9.84it/s]

→ 2000L (204 images) Phase 1:  62%|██████▏   | 127/204 [00:11<00:05, 14.65it/s]

→ 2000L (204 images) Phase 1:  68%|██████▊   | 139/204 [00:14<00:06,  9.63it/s]

→ 2000L (204 images) Phase 1:  73%|███████▎  | 148/204 [00:14<00:04, 11.73it/s]

→ 2000L (204 images) Phase 1:  79%|███████▉  | 161/204 [00:16<00:05,  8.50it/s]

→ 2000L (204 images) Phase 1:  85%|████████▌ | 174/204 [00:16<00:02, 11.75it/s]

→ 2000L (204 images) Phase 1:  89%|████████▉ | 182/204 [00:16<00:01, 14.18it/s]

→ 2000L (204 images) Phase 1:  95%|█████████▍| 193/204 [00:18<00:00, 11.43it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/204 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/204 [00:00<02:49,  1.20it/s]

→ 2000L Phase 2: corners:   1%|          | 2/204 [00:01<02:44,  1.23it/s]

→ 2000L Phase 2: corners:   1%|▏         | 3/204 [00:02<02:44,  1.22it/s]

→ 2000L Phase 2: corners:   2%|▏         | 4/204 [00:03<02:44,  1.21it/s]

→ 2000L Phase 2: corners:   2%|▏         | 5/204 [00:04<02:42,  1.22it/s]

→ 2000L Phase 2: corners:   3%|▎         | 6/204 [00:04<02:40,  1.23it/s]

→ 2000L Phase 2: corners:   3%|▎         | 7/204 [00:05<02:40,  1.23it/s]

→ 2000L Phase 2: corners:   4%|▍         | 8/204 [00:06<02:40,  1.22it/s]

→ 2000L Phase 2: corners:   4%|▍         | 9/204 [00:07<02:39,  1.22it/s]

→ 2000L Phase 2: corners:   5%|▍         | 10/204 [00:08<02:38,  1.22it/s]

→ 2000L Phase 2: corners:   5%|▌         | 11/204 [00:09<02:38,  1.22it/s]

→ 2000L Phase 2: corners:   6%|▌         | 12/204 [00:09<02:37,  1.22it/s]

→ 2000L Phase 2: corners:   6%|▋         | 13/204 [00:10<02:36,  1.22it/s]

→ 2000L Phase 2: corners:   7%|▋         | 14/204 [00:11<02:35,  1.22it/s]

→ 2000L Phase 2: corners:   7%|▋         | 15/204 [00:12<02:34,  1.22it/s]

→ 2000L Phase 2: corners:   8%|▊         | 16/204 [00:13<02:33,  1.22it/s]

→ 2000L Phase 2: corners:   8%|▊         | 17/204 [00:13<02:30,  1.24it/s]

→ 2000L Phase 2: corners:   9%|▉         | 18/204 [00:14<02:30,  1.23it/s]

→ 2000L Phase 2: corners:   9%|▉         | 19/204 [00:15<02:33,  1.21it/s]

→ 2000L Phase 2: corners:  10%|▉         | 20/204 [00:16<02:32,  1.20it/s]

→ 2000L Phase 2: corners:  10%|█         | 21/204 [00:17<02:31,  1.21it/s]

→ 2000L Phase 2: corners:  11%|█▏        | 23/204 [00:18<01:56,  1.55it/s]

→ 2000L Phase 2: corners:  12%|█▏        | 24/204 [00:18<02:04,  1.45it/s]

→ 2000L Phase 2: corners:  12%|█▏        | 25/204 [00:19<02:11,  1.36it/s]

→ 2000L Phase 2: corners:  13%|█▎        | 26/204 [00:20<02:15,  1.31it/s]

→ 2000L Phase 2: corners:  13%|█▎        | 27/204 [00:21<02:17,  1.29it/s]

→ 2000L Phase 2: corners:  14%|█▎        | 28/204 [00:22<02:18,  1.27it/s]

→ 2000L Phase 2: corners:  14%|█▍        | 29/204 [00:23<02:19,  1.25it/s]

→ 2000L Phase 2: corners:  15%|█▍        | 30/204 [00:23<02:19,  1.25it/s]

→ 2000L Phase 2: corners:  15%|█▌        | 31/204 [00:24<02:20,  1.23it/s]

→ 2000L Phase 2: corners:  16%|█▌        | 32/204 [00:25<02:17,  1.25it/s]

→ 2000L Phase 2: corners:  16%|█▌        | 33/204 [00:26<02:15,  1.26it/s]

→ 2000L Phase 2: corners:  17%|█▋        | 34/204 [00:27<02:15,  1.25it/s]

→ 2000L Phase 2: corners:  17%|█▋        | 35/204 [00:27<02:14,  1.25it/s]

→ 2000L Phase 2: corners:  18%|█▊        | 36/204 [00:28<02:14,  1.25it/s]

→ 2000L Phase 2: corners:  18%|█▊        | 37/204 [00:29<02:13,  1.25it/s]

→ 2000L Phase 2: corners:  19%|█▊        | 38/204 [00:30<02:13,  1.25it/s]

→ 2000L Phase 2: corners:  19%|█▉        | 39/204 [00:31<02:12,  1.24it/s]

→ 2000L Phase 2: corners:  20%|█▉        | 40/204 [00:31<02:12,  1.24it/s]

→ 2000L Phase 2: corners:  20%|██        | 41/204 [00:32<02:11,  1.24it/s]

→ 2000L Phase 2: corners:  21%|██        | 42/204 [00:33<02:10,  1.24it/s]

→ 2000L Phase 2: corners:  21%|██        | 43/204 [00:34<02:10,  1.23it/s]

→ 2000L Phase 2: corners:  22%|██▏       | 44/204 [00:35<02:09,  1.23it/s]

→ 2000L Phase 2: corners:  22%|██▏       | 45/204 [00:35<02:10,  1.22it/s]

→ 2000L Phase 2: corners:  23%|██▎       | 46/204 [00:36<02:09,  1.22it/s]

→ 2000L Phase 2: corners:  23%|██▎       | 47/204 [00:37<02:08,  1.22it/s]

→ 2000L Phase 2: corners:  24%|██▎       | 48/204 [00:38<02:06,  1.23it/s]

→ 2000L Phase 2: corners:  24%|██▍       | 49/204 [00:39<02:07,  1.22it/s]

→ 2000L Phase 2: corners:  25%|██▍       | 50/204 [00:40<02:05,  1.23it/s]

→ 2000L Phase 2: corners:  25%|██▌       | 51/204 [00:40<02:04,  1.23it/s]

→ 2000L Phase 2: corners:  25%|██▌       | 52/204 [00:41<02:05,  1.22it/s]

→ 2000L Phase 2: corners:  26%|██▌       | 53/204 [00:42<02:04,  1.21it/s]

→ 2000L Phase 2: corners:  26%|██▋       | 54/204 [00:43<02:03,  1.22it/s]

→ 2000L Phase 2: corners:  27%|██▋       | 55/204 [00:44<02:02,  1.21it/s]

→ 2000L Phase 2: corners:  27%|██▋       | 56/204 [00:45<02:01,  1.21it/s]

→ 2000L Phase 2: corners:  28%|██▊       | 57/204 [00:45<02:00,  1.22it/s]

→ 2000L Phase 2: corners:  28%|██▊       | 58/204 [00:46<01:59,  1.22it/s]

→ 2000L Phase 2: corners:  29%|██▉       | 59/204 [00:47<01:59,  1.21it/s]

→ 2000L Phase 2: corners:  29%|██▉       | 60/204 [00:48<01:58,  1.21it/s]

→ 2000L Phase 2: corners:  30%|██▉       | 61/204 [00:49<02:00,  1.19it/s]

→ 2000L Phase 2: corners:  30%|███       | 62/204 [00:49<01:57,  1.21it/s]

→ 2000L Phase 2: corners:  31%|███       | 63/204 [00:50<01:58,  1.19it/s]

→ 2000L Phase 2: corners:  31%|███▏      | 64/204 [00:51<01:57,  1.19it/s]

→ 2000L Phase 2: corners:  32%|███▏      | 65/204 [00:52<01:57,  1.18it/s]

→ 2000L Phase 2: corners:  32%|███▏      | 66/204 [00:53<01:58,  1.17it/s]

→ 2000L Phase 2: corners:  33%|███▎      | 67/204 [00:54<01:57,  1.17it/s]

→ 2000L Phase 2: corners:  33%|███▎      | 68/204 [00:55<01:55,  1.18it/s]

→ 2000L Phase 2: corners:  34%|███▍      | 69/204 [00:56<01:56,  1.16it/s]

→ 2000L Phase 2: corners:  34%|███▍      | 70/204 [00:56<01:55,  1.16it/s]

→ 2000L Phase 2: corners:  35%|███▍      | 71/204 [00:57<01:55,  1.15it/s]

→ 2000L Phase 2: corners:  35%|███▌      | 72/204 [00:58<01:55,  1.14it/s]

→ 2000L Phase 2: corners:  36%|███▌      | 73/204 [00:59<01:52,  1.16it/s]

→ 2000L Phase 2: corners:  36%|███▋      | 74/204 [01:00<01:52,  1.16it/s]

→ 2000L Phase 2: corners:  37%|███▋      | 75/204 [01:01<01:50,  1.16it/s]

→ 2000L Phase 2: corners:  37%|███▋      | 76/204 [01:02<01:50,  1.16it/s]

→ 2000L Phase 2: corners:  38%|███▊      | 77/204 [01:02<01:49,  1.16it/s]

→ 2000L Phase 2: corners:  38%|███▊      | 78/204 [01:03<01:47,  1.17it/s]

→ 2000L Phase 2: corners:  39%|███▊      | 79/204 [01:04<01:46,  1.17it/s]

→ 2000L Phase 2: corners:  39%|███▉      | 80/204 [01:05<01:47,  1.15it/s]

→ 2000L Phase 2: corners:  40%|███▉      | 81/204 [01:06<01:44,  1.17it/s]

→ 2000L Phase 2: corners:  40%|████      | 82/204 [01:07<01:44,  1.17it/s]

→ 2000L Phase 2: corners:  41%|████      | 83/204 [01:08<01:42,  1.18it/s]

→ 2000L Phase 2: corners:  41%|████      | 84/204 [01:08<01:42,  1.17it/s]

→ 2000L Phase 2: corners:  42%|████▏     | 85/204 [01:09<01:41,  1.17it/s]

→ 2000L Phase 2: corners:  42%|████▏     | 86/204 [01:10<01:40,  1.17it/s]

→ 2000L Phase 2: corners:  43%|████▎     | 87/204 [01:11<01:39,  1.18it/s]

→ 2000L Phase 2: corners:  43%|████▎     | 88/204 [01:12<01:38,  1.17it/s]

→ 2000L Phase 2: corners:  44%|████▎     | 89/204 [01:13<01:37,  1.18it/s]

→ 2000L Phase 2: corners:  44%|████▍     | 90/204 [01:13<01:36,  1.19it/s]

→ 2000L Phase 2: corners:  45%|████▍     | 91/204 [01:14<01:35,  1.19it/s]

→ 2000L Phase 2: corners:  45%|████▌     | 92/204 [01:15<01:34,  1.19it/s]

→ 2000L Phase 2: corners:  46%|████▌     | 93/204 [01:16<01:32,  1.20it/s]

→ 2000L Phase 2: corners:  46%|████▌     | 94/204 [01:17<01:31,  1.20it/s]

→ 2000L Phase 2: corners:  47%|████▋     | 95/204 [01:18<01:30,  1.20it/s]

→ 2000L Phase 2: corners:  47%|████▋     | 96/204 [01:18<01:29,  1.20it/s]

→ 2000L Phase 2: corners:  48%|████▊     | 97/204 [01:19<01:27,  1.22it/s]

→ 2000L Phase 2: corners:  48%|████▊     | 98/204 [01:20<01:25,  1.24it/s]

→ 2000L Phase 2: corners:  49%|████▊     | 99/204 [01:21<01:23,  1.26it/s]

→ 2000L Phase 2: corners:  49%|████▉     | 100/204 [01:22<01:23,  1.25it/s]

→ 2000L Phase 2: corners:  50%|████▉     | 101/204 [01:22<01:23,  1.23it/s]

→ 2000L Phase 2: corners:  50%|█████     | 102/204 [01:23<01:22,  1.23it/s]

→ 2000L Phase 2: corners:  50%|█████     | 103/204 [01:24<01:22,  1.22it/s]

→ 2000L Phase 2: corners:  51%|█████     | 104/204 [01:25<01:24,  1.19it/s]

→ 2000L Phase 2: corners:  51%|█████▏    | 105/204 [01:26<01:21,  1.21it/s]

→ 2000L Phase 2: corners:  52%|█████▏    | 106/204 [01:27<01:21,  1.21it/s]

→ 2000L Phase 2: corners:  52%|█████▏    | 107/204 [01:27<01:21,  1.19it/s]

→ 2000L Phase 2: corners:  53%|█████▎    | 108/204 [01:28<01:22,  1.17it/s]

→ 2000L Phase 2: corners:  53%|█████▎    | 109/204 [01:29<01:22,  1.15it/s]

→ 2000L Phase 2: corners:  54%|█████▍    | 110/204 [01:30<01:22,  1.14it/s]

→ 2000L Phase 2: corners:  54%|█████▍    | 111/204 [01:31<01:22,  1.13it/s]

→ 2000L Phase 2: corners:  55%|█████▍    | 112/204 [01:32<01:21,  1.12it/s]

→ 2000L Phase 2: corners:  55%|█████▌    | 113/204 [01:33<01:21,  1.12it/s]

→ 2000L Phase 2: corners:  56%|█████▌    | 114/204 [01:34<01:21,  1.11it/s]

→ 2000L Phase 2: corners:  56%|█████▋    | 115/204 [01:35<01:19,  1.11it/s]

→ 2000L Phase 2: corners:  57%|█████▋    | 116/204 [01:36<01:19,  1.11it/s]

→ 2000L Phase 2: corners:  57%|█████▋    | 117/204 [01:36<01:18,  1.11it/s]

→ 2000L Phase 2: corners:  58%|█████▊    | 118/204 [01:37<01:16,  1.12it/s]

→ 2000L Phase 2: corners:  58%|█████▊    | 119/204 [01:38<01:15,  1.13it/s]

→ 2000L Phase 2: corners:  59%|█████▉    | 120/204 [01:39<01:15,  1.12it/s]

→ 2000L Phase 2: corners:  59%|█████▉    | 121/204 [01:40<01:13,  1.13it/s]

→ 2000L Phase 2: corners:  60%|█████▉    | 122/204 [01:41<01:12,  1.12it/s]

→ 2000L Phase 2: corners:  60%|██████    | 123/204 [01:42<01:12,  1.11it/s]

→ 2000L Phase 2: corners:  61%|██████    | 124/204 [01:43<01:11,  1.13it/s]

→ 2000L Phase 2: corners:  61%|██████▏   | 125/204 [01:44<01:10,  1.13it/s]

→ 2000L Phase 2: corners:  62%|██████▏   | 126/204 [01:44<01:08,  1.14it/s]

→ 2000L Phase 2: corners:  62%|██████▏   | 127/204 [01:45<01:09,  1.11it/s]

→ 2000L Phase 2: corners:  63%|██████▎   | 128/204 [01:46<01:09,  1.10it/s]

→ 2000L Phase 2: corners:  63%|██████▎   | 129/204 [01:47<01:08,  1.09it/s]

→ 2000L Phase 2: corners:  64%|██████▎   | 130/204 [01:48<01:08,  1.08it/s]

→ 2000L Phase 2: corners:  64%|██████▍   | 131/204 [01:49<01:08,  1.07it/s]

→ 2000L Phase 2: corners:  65%|██████▍   | 132/204 [01:50<01:07,  1.06it/s]

→ 2000L Phase 2: corners:  65%|██████▌   | 133/204 [01:51<01:06,  1.06it/s]

→ 2000L Phase 2: corners:  66%|██████▌   | 134/204 [01:52<01:04,  1.08it/s]

→ 2000L Phase 2: corners:  66%|██████▌   | 135/204 [01:53<01:02,  1.10it/s]

→ 2000L Phase 2: corners:  67%|██████▋   | 136/204 [01:54<01:00,  1.12it/s]

→ 2000L Phase 2: corners:  67%|██████▋   | 137/204 [01:55<00:59,  1.13it/s]

→ 2000L Phase 2: corners:  68%|██████▊   | 138/204 [01:55<00:58,  1.14it/s]

→ 2000L Phase 2: corners:  68%|██████▊   | 139/204 [01:56<00:57,  1.14it/s]

→ 2000L Phase 2: corners:  69%|██████▊   | 140/204 [01:57<00:55,  1.14it/s]

→ 2000L Phase 2: corners:  69%|██████▉   | 141/204 [01:58<00:54,  1.15it/s]

→ 2000L Phase 2: corners:  70%|██████▉   | 142/204 [01:59<00:53,  1.16it/s]

→ 2000L Phase 2: corners:  70%|███████   | 143/204 [02:00<00:52,  1.16it/s]

→ 2000L Phase 2: corners:  71%|███████   | 144/204 [02:01<00:51,  1.17it/s]

→ 2000L Phase 2: corners:  71%|███████   | 145/204 [02:01<00:50,  1.18it/s]

→ 2000L Phase 2: corners:  72%|███████▏  | 146/204 [02:02<00:49,  1.17it/s]

→ 2000L Phase 2: corners:  72%|███████▏  | 147/204 [02:03<00:49,  1.16it/s]

→ 2000L Phase 2: corners:  73%|███████▎  | 148/204 [02:04<00:47,  1.17it/s]

→ 2000L Phase 2: corners:  73%|███████▎  | 149/204 [02:05<00:46,  1.19it/s]

→ 2000L Phase 2: corners:  74%|███████▎  | 150/204 [02:06<00:45,  1.19it/s]

→ 2000L Phase 2: corners:  74%|███████▍  | 151/204 [02:06<00:44,  1.20it/s]

→ 2000L Phase 2: corners:  75%|███████▍  | 152/204 [02:07<00:43,  1.19it/s]

→ 2000L Phase 2: corners:  75%|███████▌  | 153/204 [02:08<00:42,  1.19it/s]

→ 2000L Phase 2: corners:  75%|███████▌  | 154/204 [02:09<00:41,  1.19it/s]

→ 2000L Phase 2: corners:  76%|███████▌  | 155/204 [02:10<00:41,  1.19it/s]

→ 2000L Phase 2: corners:  76%|███████▋  | 156/204 [02:11<00:40,  1.19it/s]

→ 2000L Phase 2: corners:  77%|███████▋  | 157/204 [02:11<00:39,  1.19it/s]

→ 2000L Phase 2: corners:  77%|███████▋  | 158/204 [02:12<00:38,  1.21it/s]

→ 2000L Phase 2: corners:  78%|███████▊  | 159/204 [02:13<00:37,  1.21it/s]

→ 2000L Phase 2: corners:  78%|███████▊  | 160/204 [02:14<00:36,  1.20it/s]

→ 2000L Phase 2: corners:  79%|███████▉  | 161/204 [02:15<00:35,  1.21it/s]

→ 2000L Phase 2: corners:  79%|███████▉  | 162/204 [02:16<00:34,  1.21it/s]

→ 2000L Phase 2: corners:  80%|███████▉  | 163/204 [02:16<00:34,  1.20it/s]

→ 2000L Phase 2: corners:  80%|████████  | 164/204 [02:17<00:33,  1.20it/s]

→ 2000L Phase 2: corners:  81%|████████  | 165/204 [02:18<00:33,  1.16it/s]

→ 2000L Phase 2: corners:  81%|████████▏ | 166/204 [02:19<00:33,  1.15it/s]

→ 2000L Phase 2: corners:  82%|████████▏ | 167/204 [02:20<00:31,  1.16it/s]

→ 2000L Phase 2: corners:  82%|████████▏ | 168/204 [02:21<00:30,  1.16it/s]

→ 2000L Phase 2: corners:  83%|████████▎ | 169/204 [02:22<00:30,  1.14it/s]

→ 2000L Phase 2: corners:  83%|████████▎ | 170/204 [02:23<00:29,  1.15it/s]

→ 2000L Phase 2: corners:  84%|████████▍ | 171/204 [02:24<00:29,  1.11it/s]

→ 2000L Phase 2: corners:  84%|████████▍ | 172/204 [02:25<00:29,  1.08it/s]

→ 2000L Phase 2: corners:  85%|████████▍ | 173/204 [02:26<00:29,  1.06it/s]

→ 2000L Phase 2: corners:  85%|████████▌ | 174/204 [02:26<00:28,  1.05it/s]

→ 2000L Phase 2: corners:  86%|████████▌ | 175/204 [02:27<00:27,  1.05it/s]

→ 2000L Phase 2: corners:  86%|████████▋ | 176/204 [02:28<00:26,  1.06it/s]

→ 2000L Phase 2: corners:  87%|████████▋ | 177/204 [02:29<00:24,  1.10it/s]

→ 2000L Phase 2: corners:  87%|████████▋ | 178/204 [02:30<00:23,  1.12it/s]

→ 2000L Phase 2: corners:  88%|████████▊ | 179/204 [02:31<00:22,  1.13it/s]

→ 2000L Phase 2: corners:  88%|████████▊ | 180/204 [02:32<00:20,  1.15it/s]

→ 2000L Phase 2: corners:  89%|████████▊ | 181/204 [02:33<00:19,  1.17it/s]

→ 2000L Phase 2: corners:  89%|████████▉ | 182/204 [02:33<00:18,  1.17it/s]

→ 2000L Phase 2: corners:  90%|████████▉ | 183/204 [02:34<00:17,  1.19it/s]

→ 2000L Phase 2: corners:  90%|█████████ | 184/204 [02:35<00:16,  1.19it/s]

→ 2000L Phase 2: corners:  91%|█████████ | 185/204 [02:36<00:15,  1.21it/s]

→ 2000L Phase 2: corners:  91%|█████████ | 186/204 [02:37<00:14,  1.20it/s]

→ 2000L Phase 2: corners:  92%|█████████▏| 187/204 [02:38<00:14,  1.19it/s]

→ 2000L Phase 2: corners:  92%|█████████▏| 188/204 [02:38<00:13,  1.19it/s]

→ 2000L Phase 2: corners:  93%|█████████▎| 189/204 [02:39<00:12,  1.20it/s]

→ 2000L Phase 2: corners:  93%|█████████▎| 190/204 [02:40<00:11,  1.20it/s]

→ 2000L Phase 2: corners:  94%|█████████▎| 191/204 [02:41<00:10,  1.20it/s]

→ 2000L Phase 2: corners:  94%|█████████▍| 192/204 [02:42<00:10,  1.20it/s]

→ 2000L Phase 2: corners:  95%|█████████▍| 193/204 [02:43<00:09,  1.20it/s]

→ 2000L Phase 2: corners:  95%|█████████▌| 194/204 [02:43<00:08,  1.20it/s]

→ 2000L Phase 2: corners:  96%|█████████▌| 195/204 [02:44<00:07,  1.20it/s]

→ 2000L Phase 2: corners:  96%|█████████▌| 196/204 [02:45<00:06,  1.21it/s]

→ 2000L Phase 2: corners:  97%|█████████▋| 197/204 [02:46<00:05,  1.21it/s]

→ 2000L Phase 2: corners:  97%|█████████▋| 198/204 [02:47<00:04,  1.21it/s]

→ 2000L Phase 2: corners:  98%|█████████▊| 199/204 [02:48<00:04,  1.20it/s]

→ 2000L Phase 2: corners:  98%|█████████▊| 200/204 [02:48<00:03,  1.21it/s]

→ 2000L Phase 2: corners:  99%|█████████▊| 201/204 [02:49<00:02,  1.22it/s]

→ 2000L Phase 2: corners:  99%|█████████▉| 202/204 [02:50<00:01,  1.21it/s]

→ 2000L Phase 2: corners: 100%|█████████▉| 203/204 [02:51<00:00,  1.21it/s]

→ 2000L Phase 2: corners: 100%|██████████| 204/204 [02:52<00:00,  1.21it/s]

                                                                           [PASS2] Frame 0000398: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 1 frames fixed, 1 untrusted, 204 total


→ 2000L Phase 3: finalize:   0%|          | 0/204 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   1%|          | 2/204 [00:00<00:15, 12.76it/s]

→ 2000L Phase 3: finalize:   2%|▏         | 4/204 [00:00<00:15, 12.60it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 6/204 [00:00<00:15, 12.48it/s]

→ 2000L Phase 3: finalize:   4%|▍         | 8/204 [00:00<00:15, 12.47it/s]

→ 2000L Phase 3: finalize:   5%|▍         | 10/204 [00:00<00:15, 12.47it/s]

→ 2000L Phase 3: finalize:   6%|▌         | 12/204 [00:00<00:15, 12.47it/s]

→ 2000L Phase 3: finalize:   7%|▋         | 14/204 [00:01<00:15, 12.46it/s]

→ 2000L Phase 3: finalize:   8%|▊         | 16/204 [00:01<00:15, 12.52it/s]

→ 2000L Phase 3: finalize:   9%|▉         | 18/204 [00:01<00:14, 12.51it/s]

→ 2000L Phase 3: finalize:  10%|▉         | 20/204 [00:01<00:14, 12.54it/s]

→ 2000L Phase 3: finalize:  11%|█         | 22/204 [00:01<00:13, 13.97it/s]

→ 2000L Phase 3: finalize:  12%|█▏        | 24/204 [00:01<00:13, 13.51it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 26/204 [00:02<00:13, 13.07it/s]

→ 2000L Phase 3: finalize:  14%|█▎        | 28/204 [00:02<00:13, 12.93it/s]

→ 2000L Phase 3: finalize:  15%|█▍        | 30/204 [00:02<00:13, 12.75it/s]

→ 2000L Phase 3: finalize:  16%|█▌        | 32/204 [00:02<00:13, 12.64it/s]

→ 2000L Phase 3: finalize:  17%|█▋        | 34/204 [00:02<00:13, 12.68it/s]

→ 2000L Phase 3: finalize:  18%|█▊        | 36/204 [00:02<00:13, 12.69it/s]

→ 2000L Phase 3: finalize:  19%|█▊        | 38/204 [00:02<00:13, 12.69it/s]

→ 2000L Phase 3: finalize:  20%|█▉        | 40/204 [00:03<00:12, 12.73it/s]

→ 2000L Phase 3: finalize:  21%|██        | 42/204 [00:03<00:12, 12.71it/s]

→ 2000L Phase 3: finalize:  22%|██▏       | 44/204 [00:03<00:12, 12.79it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 46/204 [00:03<00:12, 12.79it/s]

→ 2000L Phase 3: finalize:  24%|██▎       | 48/204 [00:03<00:12, 12.77it/s]

→ 2000L Phase 3: finalize:  25%|██▍       | 50/204 [00:03<00:11, 12.93it/s]

→ 2000L Phase 3: finalize:  25%|██▌       | 52/204 [00:04<00:11, 13.09it/s]

→ 2000L Phase 3: finalize:  26%|██▋       | 54/204 [00:04<00:11, 13.21it/s]

→ 2000L Phase 3: finalize:  27%|██▋       | 56/204 [00:04<00:11, 13.24it/s]

→ 2000L Phase 3: finalize:  28%|██▊       | 58/204 [00:04<00:11, 13.26it/s]

→ 2000L Phase 3: finalize:  29%|██▉       | 60/204 [00:04<00:10, 13.35it/s]

→ 2000L Phase 3: finalize:  30%|███       | 62/204 [00:04<00:10, 13.42it/s]

→ 2000L Phase 3: finalize:  31%|███▏      | 64/204 [00:04<00:10, 13.49it/s]

→ 2000L Phase 3: finalize:  32%|███▏      | 66/204 [00:05<00:10, 13.54it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 68/204 [00:05<00:10, 13.57it/s]

→ 2000L Phase 3: finalize:  34%|███▍      | 70/204 [00:05<00:09, 13.63it/s]

→ 2000L Phase 3: finalize:  35%|███▌      | 72/204 [00:05<00:09, 13.68it/s]

→ 2000L Phase 3: finalize:  36%|███▋      | 74/204 [00:05<00:09, 13.72it/s]

→ 2000L Phase 3: finalize:  37%|███▋      | 76/204 [00:05<00:09, 13.83it/s]

→ 2000L Phase 3: finalize:  38%|███▊      | 78/204 [00:05<00:09, 13.87it/s]

→ 2000L Phase 3: finalize:  39%|███▉      | 80/204 [00:06<00:08, 13.83it/s]

→ 2000L Phase 3: finalize:  40%|████      | 82/204 [00:06<00:08, 13.84it/s]

→ 2000L Phase 3: finalize:  41%|████      | 84/204 [00:06<00:08, 13.86it/s]

→ 2000L Phase 3: finalize:  42%|████▏     | 86/204 [00:06<00:08, 13.93it/s]

→ 2000L Phase 3: finalize:  43%|████▎     | 88/204 [00:06<00:08, 13.97it/s]

→ 2000L Phase 3: finalize:  44%|████▍     | 90/204 [00:06<00:08, 13.90it/s]

→ 2000L Phase 3: finalize:  45%|████▌     | 92/204 [00:06<00:08, 13.88it/s]

→ 2000L Phase 3: finalize:  46%|████▌     | 94/204 [00:07<00:07, 13.83it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 96/204 [00:07<00:07, 13.85it/s]

→ 2000L Phase 3: finalize:  48%|████▊     | 98/204 [00:07<00:07, 13.81it/s]

→ 2000L Phase 3: finalize:  49%|████▉     | 100/204 [00:07<00:07, 13.81it/s]

→ 2000L Phase 3: finalize:  50%|█████     | 102/204 [00:07<00:07, 13.76it/s]

→ 2000L Phase 3: finalize:  51%|█████     | 104/204 [00:07<00:07, 13.72it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 106/204 [00:07<00:07, 13.71it/s]

→ 2000L Phase 3: finalize:  53%|█████▎    | 108/204 [00:08<00:07, 13.70it/s]

→ 2000L Phase 3: finalize:  54%|█████▍    | 110/204 [00:08<00:06, 13.70it/s]

→ 2000L Phase 3: finalize:  55%|█████▍    | 112/204 [00:08<00:06, 13.74it/s]

→ 2000L Phase 3: finalize:  56%|█████▌    | 114/204 [00:08<00:06, 13.76it/s]

→ 2000L Phase 3: finalize:  57%|█████▋    | 116/204 [00:08<00:06, 13.76it/s]

→ 2000L Phase 3: finalize:  58%|█████▊    | 118/204 [00:08<00:06, 13.78it/s]

→ 2000L Phase 3: finalize:  59%|█████▉    | 120/204 [00:09<00:06, 13.73it/s]

→ 2000L Phase 3: finalize:  60%|█████▉    | 122/204 [00:09<00:05, 13.70it/s]

→ 2000L Phase 3: finalize:  61%|██████    | 124/204 [00:09<00:05, 13.72it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 126/204 [00:09<00:05, 13.78it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 128/204 [00:09<00:05, 13.79it/s]

→ 2000L Phase 3: finalize:  64%|██████▎   | 130/204 [00:09<00:05, 13.76it/s]

→ 2000L Phase 3: finalize:  65%|██████▍   | 132/204 [00:09<00:05, 13.79it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 134/204 [00:10<00:05, 13.80it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 136/204 [00:10<00:04, 13.74it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 138/204 [00:10<00:04, 13.66it/s]

→ 2000L Phase 3: finalize:  69%|██████▊   | 140/204 [00:10<00:04, 13.62it/s]

→ 2000L Phase 3: finalize:  70%|██████▉   | 142/204 [00:10<00:04, 13.61it/s]

→ 2000L Phase 3: finalize:  71%|███████   | 144/204 [00:10<00:04, 13.51it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 146/204 [00:10<00:04, 13.49it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 148/204 [00:11<00:04, 13.47it/s]

→ 2000L Phase 3: finalize:  74%|███████▎  | 150/204 [00:11<00:04, 13.38it/s]

→ 2000L Phase 3: finalize:  75%|███████▍  | 152/204 [00:11<00:03, 13.34it/s]

→ 2000L Phase 3: finalize:  75%|███████▌  | 154/204 [00:11<00:03, 13.31it/s]

→ 2000L Phase 3: finalize:  76%|███████▋  | 156/204 [00:11<00:03, 13.35it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 158/204 [00:11<00:03, 13.38it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 160/204 [00:11<00:03, 13.33it/s]

→ 2000L Phase 3: finalize:  79%|███████▉  | 162/204 [00:12<00:03, 13.27it/s]

→ 2000L Phase 3: finalize:  80%|████████  | 164/204 [00:12<00:03, 13.25it/s]

→ 2000L Phase 3: finalize:  81%|████████▏ | 166/204 [00:12<00:02, 13.22it/s]

→ 2000L Phase 3: finalize:  82%|████████▏ | 168/204 [00:12<00:02, 13.22it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 170/204 [00:12<00:02, 13.19it/s]

→ 2000L Phase 3: finalize:  84%|████████▍ | 172/204 [00:12<00:02, 13.16it/s]

→ 2000L Phase 3: finalize:  85%|████████▌ | 174/204 [00:13<00:02, 13.14it/s]

→ 2000L Phase 3: finalize:  86%|████████▋ | 176/204 [00:13<00:02, 13.07it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 178/204 [00:13<00:01, 13.02it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 180/204 [00:13<00:01, 12.97it/s]

→ 2000L Phase 3: finalize:  89%|████████▉ | 182/204 [00:13<00:01, 12.93it/s]

→ 2000L Phase 3: finalize:  90%|█████████ | 184/204 [00:13<00:01, 12.95it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 186/204 [00:13<00:01, 12.96it/s]

→ 2000L Phase 3: finalize:  92%|█████████▏| 188/204 [00:14<00:01, 13.01it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 190/204 [00:14<00:01, 12.93it/s]

→ 2000L Phase 3: finalize:  94%|█████████▍| 192/204 [00:14<00:00, 12.89it/s]

→ 2000L Phase 3: finalize:  95%|█████████▌| 194/204 [00:14<00:00, 12.90it/s]

→ 2000L Phase 3: finalize:  96%|█████████▌| 196/204 [00:14<00:00, 12.87it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 198/204 [00:14<00:00, 12.90it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 200/204 [00:15<00:00, 12.87it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 202/204 [00:15<00:00, 12.86it/s]

→ 2000L Phase 3: finalize: 100%|██████████| 204/204 [00:15<00:00, 12.83it/s]

                                                                            
Processing Rigs:  75%|███████▌  | 3/4 [09:53<03:22, 202.24s/it][INFO] Filtered 433 stationary frames, 174 remain


→ 2000R (174 images) Phase 1:   0%|          | 0/174 [00:00<?, ?it/s]

→ 2000R (174 images) Phase 1:   1%|          | 1/174 [00:02<08:24,  2.91s/it]

→ 2000R (174 images) Phase 1:   1%|          | 2/174 [00:03<03:49,  1.34s/it]

→ 2000R (174 images) Phase 1:  19%|█▉        | 33/174 [00:05<00:17,  7.92it/s]

→ 2000R (174 images) Phase 1:  20%|█▉        | 34/174 [00:05<00:18,  7.73it/s]

→ 2000R (174 images) Phase 1:  33%|███▎      | 58/174 [00:05<00:06, 18.12it/s]

→ 2000R (174 images) Phase 1:  39%|███▊      | 67/174 [00:08<00:11,  8.93it/s]

→ 2000R (174 images) Phase 1:  54%|█████▍    | 94/174 [00:08<00:04, 17.53it/s]

→ 2000R (174 images) Phase 1:  61%|██████▏   | 107/174 [00:11<00:06, 10.53it/s]

→ 2000R (174 images) Phase 1:  74%|███████▎  | 128/174 [00:11<00:02, 16.30it/s]

→ 2000R (174 images) Phase 1:  81%|████████  | 141/174 [00:14<00:03, 10.39it/s]

→ 2000R (174 images) Phase 1:  90%|████████▉ | 156/174 [00:14<00:01, 14.21it/s]

→ 2000R (174 images) Phase 1:  96%|█████████▌| 167/174 [00:15<00:00, 11.71it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/174 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   1%|          | 2/174 [00:00<01:10,  2.43it/s]

→ 2000R Phase 2: corners:   2%|▏         | 3/174 [00:01<01:41,  1.69it/s]

→ 2000R Phase 2: corners:   2%|▏         | 4/174 [00:02<01:54,  1.48it/s]

→ 2000R Phase 2: corners:   3%|▎         | 5/174 [00:03<02:04,  1.36it/s]

→ 2000R Phase 2: corners:   3%|▎         | 6/174 [00:04<02:13,  1.26it/s]

→ 2000R Phase 2: corners:   4%|▍         | 7/174 [00:05<02:19,  1.20it/s]

→ 2000R Phase 2: corners:   5%|▍         | 8/174 [00:05<02:18,  1.20it/s]

→ 2000R Phase 2: corners:   5%|▌         | 9/174 [00:06<02:20,  1.17it/s]

→ 2000R Phase 2: corners:   6%|▌         | 10/174 [00:07<02:22,  1.15it/s]

→ 2000R Phase 2: corners:   6%|▋         | 11/174 [00:08<02:25,  1.12it/s]

→ 2000R Phase 2: corners:   7%|▋         | 12/174 [00:09<02:27,  1.10it/s]

→ 2000R Phase 2: corners:   7%|▋         | 13/174 [00:10<02:24,  1.11it/s]

→ 2000R Phase 2: corners:   8%|▊         | 14/174 [00:11<02:23,  1.11it/s]

→ 2000R Phase 2: corners:   9%|▊         | 15/174 [00:12<02:18,  1.15it/s]

→ 2000R Phase 2: corners:   9%|▉         | 16/174 [00:13<02:20,  1.13it/s]

→ 2000R Phase 2: corners:  10%|▉         | 17/174 [00:14<02:15,  1.16it/s]

→ 2000R Phase 2: corners:  10%|█         | 18/174 [00:14<02:12,  1.18it/s]

→ 2000R Phase 2: corners:  11%|█         | 19/174 [00:15<02:09,  1.20it/s]

→ 2000R Phase 2: corners:  11%|█▏        | 20/174 [00:16<02:13,  1.16it/s]

→ 2000R Phase 2: corners:  12%|█▏        | 21/174 [00:17<02:16,  1.12it/s]

→ 2000R Phase 2: corners:  13%|█▎        | 22/174 [00:18<02:13,  1.14it/s]

→ 2000R Phase 2: corners:  13%|█▎        | 23/174 [00:19<02:10,  1.16it/s]

→ 2000R Phase 2: corners:  14%|█▍        | 24/174 [00:20<02:07,  1.18it/s]

→ 2000R Phase 2: corners:  14%|█▍        | 25/174 [00:20<02:04,  1.20it/s]

→ 2000R Phase 2: corners:  15%|█▍        | 26/174 [00:21<02:01,  1.21it/s]

→ 2000R Phase 2: corners:  16%|█▌        | 27/174 [00:22<02:01,  1.21it/s]

→ 2000R Phase 2: corners:  16%|█▌        | 28/174 [00:23<02:02,  1.19it/s]

→ 2000R Phase 2: corners:  17%|█▋        | 29/174 [00:24<02:02,  1.19it/s]

→ 2000R Phase 2: corners:  17%|█▋        | 30/174 [00:25<02:03,  1.16it/s]

→ 2000R Phase 2: corners:  18%|█▊        | 31/174 [00:25<02:01,  1.18it/s]

→ 2000R Phase 2: corners:  18%|█▊        | 32/174 [00:26<02:01,  1.17it/s]

→ 2000R Phase 2: corners:  19%|█▉        | 33/174 [00:27<01:58,  1.19it/s]

→ 2000R Phase 2: corners:  20%|█▉        | 34/174 [00:28<01:59,  1.17it/s]

→ 2000R Phase 2: corners:  20%|██        | 35/174 [00:29<01:58,  1.17it/s]

→ 2000R Phase 2: corners:  21%|██        | 36/174 [00:30<01:56,  1.18it/s]

→ 2000R Phase 2: corners:  21%|██▏       | 37/174 [00:30<01:56,  1.18it/s]

→ 2000R Phase 2: corners:  22%|██▏       | 38/174 [00:31<01:57,  1.16it/s]

→ 2000R Phase 2: corners:  22%|██▏       | 39/174 [00:32<01:56,  1.16it/s]

→ 2000R Phase 2: corners:  23%|██▎       | 40/174 [00:33<01:58,  1.13it/s]

→ 2000R Phase 2: corners:  24%|██▎       | 41/174 [00:34<01:53,  1.18it/s]

→ 2000R Phase 2: corners:  24%|██▍       | 42/174 [00:35<01:54,  1.16it/s]

→ 2000R Phase 2: corners:  25%|██▍       | 43/174 [00:36<01:54,  1.15it/s]

→ 2000R Phase 2: corners:  25%|██▌       | 44/174 [00:37<01:56,  1.12it/s]

→ 2000R Phase 2: corners:  26%|██▌       | 45/174 [00:38<01:54,  1.12it/s]

→ 2000R Phase 2: corners:  26%|██▋       | 46/174 [00:38<01:55,  1.11it/s]

→ 2000R Phase 2: corners:  27%|██▋       | 47/174 [00:39<01:55,  1.10it/s]

→ 2000R Phase 2: corners:  28%|██▊       | 48/174 [00:40<01:54,  1.10it/s]

→ 2000R Phase 2: corners:  28%|██▊       | 49/174 [00:41<01:53,  1.10it/s]

→ 2000R Phase 2: corners:  29%|██▊       | 50/174 [00:42<01:52,  1.10it/s]

→ 2000R Phase 2: corners:  29%|██▉       | 51/174 [00:43<01:51,  1.11it/s]

→ 2000R Phase 2: corners:  30%|██▉       | 52/174 [00:44<01:49,  1.12it/s]

→ 2000R Phase 2: corners:  30%|███       | 53/174 [00:45<01:47,  1.12it/s]

→ 2000R Phase 2: corners:  31%|███       | 54/174 [00:46<01:47,  1.12it/s]

→ 2000R Phase 2: corners:  32%|███▏      | 55/174 [00:47<01:47,  1.11it/s]

→ 2000R Phase 2: corners:  32%|███▏      | 56/174 [00:47<01:45,  1.11it/s]

→ 2000R Phase 2: corners:  33%|███▎      | 57/174 [00:48<01:43,  1.13it/s]

→ 2000R Phase 2: corners:  33%|███▎      | 58/174 [00:49<01:43,  1.12it/s]

→ 2000R Phase 2: corners:  34%|███▍      | 59/174 [00:50<01:43,  1.11it/s]

→ 2000R Phase 2: corners:  34%|███▍      | 60/174 [00:51<01:41,  1.12it/s]

→ 2000R Phase 2: corners:  35%|███▌      | 61/174 [00:52<01:42,  1.10it/s]

→ 2000R Phase 2: corners:  36%|███▌      | 62/174 [00:53<01:41,  1.10it/s]

→ 2000R Phase 2: corners:  36%|███▌      | 63/174 [00:54<01:39,  1.11it/s]

→ 2000R Phase 2: corners:  37%|███▋      | 64/174 [00:55<01:38,  1.12it/s]

→ 2000R Phase 2: corners:  37%|███▋      | 65/174 [00:56<01:37,  1.12it/s]

→ 2000R Phase 2: corners:  38%|███▊      | 66/174 [00:56<01:38,  1.10it/s]

→ 2000R Phase 2: corners:  39%|███▊      | 67/174 [00:57<01:39,  1.08it/s]

→ 2000R Phase 2: corners:  39%|███▉      | 68/174 [00:58<01:40,  1.05it/s]

→ 2000R Phase 2: corners:  40%|███▉      | 69/174 [00:59<01:41,  1.04it/s]

→ 2000R Phase 2: corners:  40%|████      | 70/174 [01:00<01:38,  1.05it/s]

→ 2000R Phase 2: corners:  41%|████      | 71/174 [01:01<01:38,  1.04it/s]

→ 2000R Phase 2: corners:  41%|████▏     | 72/174 [01:02<01:38,  1.03it/s]

→ 2000R Phase 2: corners:  42%|████▏     | 73/174 [01:03<01:38,  1.02it/s]

→ 2000R Phase 2: corners:  43%|████▎     | 74/174 [01:04<01:35,  1.04it/s]

→ 2000R Phase 2: corners:  43%|████▎     | 75/174 [01:05<01:32,  1.07it/s]

→ 2000R Phase 2: corners:  44%|████▎     | 76/174 [01:06<01:31,  1.07it/s]

→ 2000R Phase 2: corners:  44%|████▍     | 77/174 [01:07<01:30,  1.08it/s]

→ 2000R Phase 2: corners:  45%|████▍     | 78/174 [01:08<01:27,  1.10it/s]

→ 2000R Phase 2: corners:  45%|████▌     | 79/174 [01:09<01:25,  1.11it/s]

→ 2000R Phase 2: corners:  46%|████▌     | 80/174 [01:10<01:25,  1.10it/s]

→ 2000R Phase 2: corners:  47%|████▋     | 81/174 [01:11<01:24,  1.10it/s]

→ 2000R Phase 2: corners:  47%|████▋     | 82/174 [01:11<01:21,  1.13it/s]

→ 2000R Phase 2: corners:  48%|████▊     | 83/174 [01:12<01:19,  1.15it/s]

→ 2000R Phase 2: corners:  48%|████▊     | 84/174 [01:13<01:18,  1.15it/s]

→ 2000R Phase 2: corners:  49%|████▉     | 85/174 [01:14<01:17,  1.15it/s]

→ 2000R Phase 2: corners:  49%|████▉     | 86/174 [01:15<01:15,  1.16it/s]

→ 2000R Phase 2: corners:  50%|█████     | 87/174 [01:16<01:15,  1.16it/s]

→ 2000R Phase 2: corners:  51%|█████     | 88/174 [01:17<01:13,  1.17it/s]

→ 2000R Phase 2: corners:  51%|█████     | 89/174 [01:17<01:11,  1.18it/s]

→ 2000R Phase 2: corners:  52%|█████▏    | 90/174 [01:18<01:10,  1.19it/s]

→ 2000R Phase 2: corners:  52%|█████▏    | 91/174 [01:19<01:09,  1.19it/s]

→ 2000R Phase 2: corners:  53%|█████▎    | 92/174 [01:20<01:09,  1.18it/s]

→ 2000R Phase 2: corners:  53%|█████▎    | 93/174 [01:21<01:08,  1.18it/s]

→ 2000R Phase 2: corners:  54%|█████▍    | 94/174 [01:22<01:07,  1.18it/s]

→ 2000R Phase 2: corners:  55%|█████▍    | 95/174 [01:22<01:06,  1.18it/s]

→ 2000R Phase 2: corners:  55%|█████▌    | 96/174 [01:23<01:06,  1.18it/s]

→ 2000R Phase 2: corners:  56%|█████▌    | 97/174 [01:24<01:04,  1.19it/s]

→ 2000R Phase 2: corners:  56%|█████▋    | 98/174 [01:25<01:04,  1.18it/s]

→ 2000R Phase 2: corners:  57%|█████▋    | 99/174 [01:26<01:03,  1.18it/s]

→ 2000R Phase 2: corners:  57%|█████▋    | 100/174 [01:27<01:02,  1.18it/s]

→ 2000R Phase 2: corners:  58%|█████▊    | 101/174 [01:28<01:01,  1.18it/s]

→ 2000R Phase 2: corners:  59%|█████▊    | 102/174 [01:28<01:01,  1.17it/s]

→ 2000R Phase 2: corners:  59%|█████▉    | 103/174 [01:29<01:01,  1.15it/s]

→ 2000R Phase 2: corners:  60%|█████▉    | 104/174 [01:30<01:00,  1.15it/s]

→ 2000R Phase 2: corners:  60%|██████    | 105/174 [01:31<00:59,  1.16it/s]

→ 2000R Phase 2: corners:  61%|██████    | 106/174 [01:32<00:57,  1.17it/s]

→ 2000R Phase 2: corners:  61%|██████▏   | 107/174 [01:33<00:57,  1.16it/s]

→ 2000R Phase 2: corners:  62%|██████▏   | 108/174 [01:34<00:58,  1.13it/s]

→ 2000R Phase 2: corners:  63%|██████▎   | 109/174 [01:35<00:57,  1.14it/s]

→ 2000R Phase 2: corners:  63%|██████▎   | 110/174 [01:35<00:56,  1.13it/s]

→ 2000R Phase 2: corners:  64%|██████▍   | 111/174 [01:36<00:55,  1.13it/s]

→ 2000R Phase 2: corners:  64%|██████▍   | 112/174 [01:37<00:53,  1.15it/s]

→ 2000R Phase 2: corners:  65%|██████▍   | 113/174 [01:38<00:52,  1.17it/s]

→ 2000R Phase 2: corners:  66%|██████▌   | 114/174 [01:39<00:50,  1.19it/s]

→ 2000R Phase 2: corners:  66%|██████▌   | 115/174 [01:40<00:49,  1.19it/s]

→ 2000R Phase 2: corners:  67%|██████▋   | 116/174 [01:40<00:49,  1.17it/s]

→ 2000R Phase 2: corners:  67%|██████▋   | 117/174 [01:41<00:47,  1.19it/s]

→ 2000R Phase 2: corners:  68%|██████▊   | 118/174 [01:42<00:46,  1.20it/s]

→ 2000R Phase 2: corners:  68%|██████▊   | 119/174 [01:43<00:45,  1.20it/s]

→ 2000R Phase 2: corners:  69%|██████▉   | 120/174 [01:44<00:44,  1.22it/s]

→ 2000R Phase 2: corners:  70%|██████▉   | 121/174 [01:45<00:43,  1.23it/s]

→ 2000R Phase 2: corners:  70%|███████   | 122/174 [01:45<00:41,  1.25it/s]

→ 2000R Phase 2: corners:  71%|███████   | 123/174 [01:46<00:41,  1.24it/s]

→ 2000R Phase 2: corners:  71%|███████▏  | 124/174 [01:47<00:40,  1.24it/s]

→ 2000R Phase 2: corners:  72%|███████▏  | 125/174 [01:48<00:39,  1.23it/s]

→ 2000R Phase 2: corners:  72%|███████▏  | 126/174 [01:49<00:38,  1.24it/s]

→ 2000R Phase 2: corners:  73%|███████▎  | 127/174 [01:49<00:37,  1.24it/s]

→ 2000R Phase 2: corners:  74%|███████▎  | 128/174 [01:50<00:36,  1.25it/s]

→ 2000R Phase 2: corners:  74%|███████▍  | 129/174 [01:51<00:36,  1.24it/s]

→ 2000R Phase 2: corners:  75%|███████▍  | 130/174 [01:52<00:35,  1.24it/s]

→ 2000R Phase 2: corners:  75%|███████▌  | 131/174 [01:53<00:34,  1.24it/s]

→ 2000R Phase 2: corners:  76%|███████▌  | 132/174 [01:53<00:33,  1.24it/s]

→ 2000R Phase 2: corners:  76%|███████▋  | 133/174 [01:54<00:33,  1.21it/s]

→ 2000R Phase 2: corners:  77%|███████▋  | 134/174 [01:55<00:32,  1.21it/s]

→ 2000R Phase 2: corners:  78%|███████▊  | 135/174 [01:56<00:31,  1.22it/s]

→ 2000R Phase 2: corners:  78%|███████▊  | 136/174 [01:57<00:31,  1.22it/s]

→ 2000R Phase 2: corners:  79%|███████▊  | 137/174 [01:58<00:30,  1.21it/s]

→ 2000R Phase 2: corners:  79%|███████▉  | 138/174 [01:58<00:29,  1.22it/s]

→ 2000R Phase 2: corners:  80%|███████▉  | 139/174 [01:59<00:28,  1.22it/s]

→ 2000R Phase 2: corners:  80%|████████  | 140/174 [02:00<00:27,  1.23it/s]

→ 2000R Phase 2: corners:  81%|████████  | 141/174 [02:01<00:26,  1.23it/s]

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→ 2000R Phase 2: corners:  82%|████████▏ | 143/174 [02:02<00:25,  1.19it/s]

→ 2000R Phase 2: corners:  83%|████████▎ | 144/174 [02:03<00:25,  1.19it/s]

→ 2000R Phase 2: corners:  83%|████████▎ | 145/174 [02:04<00:24,  1.19it/s]

→ 2000R Phase 2: corners:  84%|████████▍ | 146/174 [02:05<00:23,  1.20it/s]

→ 2000R Phase 2: corners:  84%|████████▍ | 147/174 [02:06<00:22,  1.21it/s]

→ 2000R Phase 2: corners:  85%|████████▌ | 148/174 [02:07<00:21,  1.22it/s]

→ 2000R Phase 2: corners:  86%|████████▌ | 149/174 [02:07<00:20,  1.21it/s]

→ 2000R Phase 2: corners:  86%|████████▌ | 150/174 [02:08<00:19,  1.21it/s]

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→ 2000R Phase 2: corners:  91%|█████████ | 158/174 [02:15<00:13,  1.19it/s]

→ 2000R Phase 2: corners:  91%|█████████▏| 159/174 [02:16<00:12,  1.18it/s]

→ 2000R Phase 2: corners:  92%|█████████▏| 160/174 [02:17<00:11,  1.18it/s]

→ 2000R Phase 2: corners:  93%|█████████▎| 161/174 [02:18<00:10,  1.19it/s]

→ 2000R Phase 2: corners:  93%|█████████▎| 162/174 [02:18<00:10,  1.20it/s]

→ 2000R Phase 2: corners:  94%|█████████▎| 163/174 [02:19<00:09,  1.20it/s]

→ 2000R Phase 2: corners:  94%|█████████▍| 164/174 [02:20<00:08,  1.21it/s]

→ 2000R Phase 2: corners:  95%|█████████▍| 165/174 [02:21<00:07,  1.23it/s]

→ 2000R Phase 2: corners:  95%|█████████▌| 166/174 [02:22<00:06,  1.23it/s]

→ 2000R Phase 2: corners:  96%|█████████▌| 167/174 [02:22<00:05,  1.22it/s]

→ 2000R Phase 2: corners:  97%|█████████▋| 168/174 [02:23<00:04,  1.22it/s]

→ 2000R Phase 2: corners:  97%|█████████▋| 169/174 [02:24<00:04,  1.23it/s]

→ 2000R Phase 2: corners:  98%|█████████▊| 170/174 [02:25<00:03,  1.24it/s]

→ 2000R Phase 2: corners:  98%|█████████▊| 171/174 [02:26<00:02,  1.22it/s]

→ 2000R Phase 2: corners:  99%|█████████▉| 172/174 [02:26<00:01,  1.23it/s]

→ 2000R Phase 2: corners:  99%|█████████▉| 173/174 [02:27<00:00,  1.23it/s]

→ 2000R Phase 2: corners: 100%|██████████| 174/174 [02:28<00:00,  1.21it/s]

                                                                           [PASS2] Frame 0000258: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000479: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000480: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000481: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000482: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000484: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000480: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 4 frames fixed, 7 untrusted, 173 total


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→ 2000R Phase 3: finalize:  79%|███████▊  | 137/174 [00:10<00:02, 13.20it/s]

→ 2000R Phase 3: finalize:  80%|███████▉  | 139/174 [00:10<00:02, 13.18it/s]

→ 2000R Phase 3: finalize:  81%|████████  | 141/174 [00:10<00:02, 13.18it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 143/174 [00:11<00:02, 13.09it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 145/174 [00:11<00:02, 13.10it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 147/174 [00:11<00:02, 13.13it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 149/174 [00:11<00:01, 13.11it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 151/174 [00:11<00:01, 13.11it/s]

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→ 2000R Phase 3: finalize:  89%|████████▉ | 155/174 [00:11<00:01, 13.11it/s]

→ 2000R Phase 3: finalize:  90%|█████████ | 157/174 [00:12<00:01, 13.09it/s]

→ 2000R Phase 3: finalize:  91%|█████████▏| 159/174 [00:12<00:01, 13.07it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 161/174 [00:12<00:00, 13.07it/s]

→ 2000R Phase 3: finalize:  94%|█████████▎| 163/174 [00:12<00:00, 13.02it/s]

→ 2000R Phase 3: finalize:  95%|█████████▍| 165/174 [00:12<00:00, 13.04it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 167/174 [00:12<00:00, 13.06it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 169/174 [00:13<00:00, 13.07it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 171/174 [00:13<00:00, 13.06it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 173/174 [00:13<00:00, 13.05it/s]

                                                                            
Processing Rigs: 100%|██████████| 4/4 [12:53<00:00, 193.43s/it]
Processing Rigs: 100%|██████████| 4/4 [12:53<00:00, 193.28s/it]
[💾] Saved RigFrameDataset to /working/MDC048_W021(6)_2025-11-19/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 720 frames from 4 rigs to /working/MDC048_W021(6)_2025-11-19/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC048_W021(6)_2025-11-19/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 1000: 100 frames selected from 140
[📋] 1500: 100 frames selected from 202
[📋] 2000L: 100 frames selected from 204
[📋] 2000R: 100 frames selected from 174
[💾] Saved RigFrameDataset to /working/MDC048_W021(6)_2025-11-19/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC048_W021(6)_2025-11-19/calibration/debug/1_digitized/rig_frames.json

-------------------------------------------------------------------
                        Step 2: Calibration                        
-------------------------------------------------------------------

-> Calculating the casing center ...
[INFO] Using 60 total sampled bright frames

Computing max image from bright frames:   0%|          | 0/60 [00:00<?, ?it/s]
Computing max image from bright frames:   2%|▏         | 1/60 [00:03<03:14,  3.29s/it]
Computing max image from bright frames:   3%|▎         | 2/60 [00:06<03:07,  3.23s/it]
Computing max image from bright frames:   5%|▌         | 3/60 [00:09<03:03,  3.23s/it]
Computing max image from bright frames:   7%|▋         | 4/60 [00:12<03:00,  3.22s/it]
Computing max image from bright frames:   8%|▊         | 5/60 [00:16<02:57,  3.22s/it]
Computing max image from bright frames:  10%|█         | 6/60 [00:19<02:56,  3.27s/it]
Computing max image from bright frames:  12%|█▏        | 7/60 [00:22<02:54,  3.30s/it]
Computing max image from bright frames:  13%|█▎        | 8/60 [00:26<02:53,  3.33s/it]
Computing max image from bright frames:  15%|█▌        | 9/60 [00:29<02:49,  3.32s/it]
Computing max image from bright frames:  17%|█▋        | 10/60 [00:32<02:43,  3.28s/it]
Computing max image from bright frames:  18%|█▊        | 11/60 [00:35<02:39,  3.25s/it]
Computing max image from bright frames:  20%|██        | 12/60 [00:39<02:35,  3.24s/it]
Computing max image from bright frames:  22%|██▏       | 13/60 [00:42<02:31,  3.23s/it]
Computing max image from bright frames:  23%|██▎       | 14/60 [00:45<02:28,  3.23s/it]
Computing max image from bright frames:  25%|██▌       | 15/60 [00:48<02:25,  3.22s/it]
Computing max image from bright frames:  27%|██▋       | 16/60 [00:52<02:21,  3.22s/it]
Computing max image from bright frames:  28%|██▊       | 17/60 [00:55<02:18,  3.21s/it]
Computing max image from bright frames:  30%|███       | 18/60 [00:58<02:14,  3.21s/it]
Computing max image from bright frames:  32%|███▏      | 19/60 [01:01<02:11,  3.21s/it]
Computing max image from bright frames:  33%|███▎      | 20/60 [01:03<01:47,  2.69s/it]
Computing max image from bright frames:  35%|███▌      | 21/60 [01:06<01:52,  2.87s/it]
Computing max image from bright frames:  37%|███▋      | 22/60 [01:09<01:53,  2.98s/it]
Computing max image from bright frames:  38%|███▊      | 23/60 [01:12<01:53,  3.06s/it]
Computing max image from bright frames:  40%|████      | 24/60 [01:16<01:52,  3.13s/it]
Computing max image from bright frames:  42%|████▏     | 25/60 [01:19<01:51,  3.18s/it]
Computing max image from bright frames:  43%|████▎     | 26/60 [01:22<01:48,  3.20s/it]
Computing max image from bright frames:  45%|████▌     | 27/60 [01:25<01:45,  3.21s/it]
Computing max image from bright frames:  47%|████▋     | 28/60 [01:29<01:42,  3.21s/it]
Computing max image from bright frames:  48%|████▊     | 29/60 [01:32<01:41,  3.26s/it]
Computing max image from bright frames:  50%|█████     | 30/60 [01:36<01:39,  3.33s/it]
Computing max image from bright frames:  52%|█████▏    | 31/60 [01:39<01:37,  3.35s/it]
Computing max image from bright frames:  53%|█████▎    | 32/60 [01:42<01:34,  3.38s/it]
Computing max image from bright frames:  55%|█████▌    | 33/60 [01:46<01:31,  3.40s/it]
Computing max image from bright frames:  57%|█████▋    | 34/60 [01:49<01:27,  3.35s/it]
Computing max image from bright frames:  58%|█████▊    | 35/60 [01:52<01:22,  3.31s/it]
Computing max image from bright frames:  60%|██████    | 36/60 [01:56<01:18,  3.29s/it]
Computing max image from bright frames:  62%|██████▏   | 37/60 [01:59<01:15,  3.27s/it]
Computing max image from bright frames:  63%|██████▎   | 38/60 [02:02<01:11,  3.25s/it]
Computing max image from bright frames:  65%|██████▌   | 39/60 [02:05<01:08,  3.25s/it]
Computing max image from bright frames:  67%|██████▋   | 40/60 [02:06<00:53,  2.66s/it]
Computing max image from bright frames:  68%|██████▊   | 41/60 [02:10<00:53,  2.84s/it]
Computing max image from bright frames:  70%|███████   | 42/60 [02:13<00:53,  2.96s/it]
Computing max image from bright frames:  72%|███████▏  | 43/60 [02:16<00:51,  3.05s/it]
Computing max image from bright frames:  73%|███████▎  | 44/60 [02:19<00:49,  3.11s/it]
Computing max image from bright frames:  75%|███████▌  | 45/60 [02:23<00:47,  3.15s/it]
Computing max image from bright frames:  77%|███████▋  | 46/60 [02:26<00:44,  3.21s/it]
Computing max image from bright frames:  78%|███████▊  | 47/60 [02:30<00:42,  3.28s/it]
Computing max image from bright frames:  80%|████████  | 48/60 [02:33<00:40,  3.34s/it]
Computing max image from bright frames:  82%|████████▏ | 49/60 [02:36<00:36,  3.35s/it]
Computing max image from bright frames:  83%|████████▎ | 50/60 [02:40<00:33,  3.31s/it]
Computing max image from bright frames:  85%|████████▌ | 51/60 [02:43<00:29,  3.30s/it]
Computing max image from bright frames:  87%|████████▋ | 52/60 [02:46<00:26,  3.28s/it]
Computing max image from bright frames:  88%|████████▊ | 53/60 [02:49<00:22,  3.27s/it]
Computing max image from bright frames:  90%|█████████ | 54/60 [02:53<00:19,  3.27s/it]
Computing max image from bright frames:  92%|█████████▏| 55/60 [02:56<00:16,  3.26s/it]
Computing max image from bright frames:  93%|█████████▎| 56/60 [02:59<00:12,  3.25s/it]
Computing max image from bright frames:  95%|█████████▌| 57/60 [03:02<00:09,  3.25s/it]
Computing max image from bright frames:  97%|█████████▋| 58/60 [03:06<00:06,  3.24s/it]
Computing max image from bright frames:  98%|█████████▊| 59/60 [03:09<00:03,  3.24s/it]
Computing max image from bright frames: 100%|██████████| 60/60 [03:10<00:00,  2.69s/it]
                                                                                       

  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:25,  3.85it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:25,  3.85it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   2%|▏         | 2/100 [00:00<00:25,  3.85it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   3%|▎         | 3/100 [00:00<00:25,  3.85it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:07, 12.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   7%|▋         | 7/100 [00:00<00:06, 14.55it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 349.495} (0.000):   7%|▋         | 7/100 [00:00<00:06, 14.55it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:06, 14.55it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:06, 14.55it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:00<00:06, 14.55it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  11%|█         | 11/100 [00:00<00:04, 18.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:04, 18.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.004 | Best: {'fx': 384.848} (0.004):  12%|█▏        | 12/100 [00:00<00:04, 18.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 18.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  14%|█▍        | 14/100 [00:00<00:04, 18.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:04, 19.81it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.004 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:04, 19.81it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:00<00:04, 19.81it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  17%|█▋        | 17/100 [00:01<00:04, 19.81it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  18%|█▊        | 18/100 [00:01<00:03, 20.77it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.007 | Best: {'fx': 427.273} (0.007):  18%|█▊        | 18/100 [00:01<00:03, 20.77it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.008 | Best: {'fx': 434.343} (0.008):  19%|█▉        | 19/100 [00:01<00:03, 20.77it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.009 | Best: {'fx': 441.414} (0.009):  20%|██        | 20/100 [00:01<00:03, 20.77it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.011 | Best: {'fx': 448.485} (0.011):  21%|██        | 21/100 [00:01<00:03, 20.77it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.011 | Best: {'fx': 448.485} (0.011):  22%|██▏       | 22/100 [00:01<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.013 | Best: {'fx': 455.556} (0.013):  22%|██▏       | 22/100 [00:01<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.015 | Best: {'fx': 462.626} (0.015):  23%|██▎       | 23/100 [00:01<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  24%|██▍       | 24/100 [00:01<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  25%|██▌       | 25/100 [00:01<00:03, 23.45it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 476.768} (0.019):  25%|██▌       | 25/100 [00:01<00:03, 23.45it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 483.838} (0.023):  26%|██▌       | 26/100 [00:01<00:03, 23.45it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.029 | Best: {'fx': 490.909} (0.029):  27%|██▋       | 27/100 [00:01<00:03, 23.45it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.029 | Best: {'fx': 490.909} (0.029):  28%|██▊       | 28/100 [00:01<00:03, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.038 | Best: {'fx': 497.98} (0.038):  28%|██▊       | 28/100 [00:01<00:03, 22.45it/s] 
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.057 | Best: {'fx': 512.121} (0.057):  29%|██▉       | 29/100 [00:01<00:03, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.046 | Best: {'fx': 512.121} (0.057):  30%|███       | 30/100 [00:01<00:03, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.046 | Best: {'fx': 512.121} (0.057):  31%|███       | 31/100 [00:01<00:03, 21.35it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.072 | Best: {'fx': 519.192} (0.072):  31%|███       | 31/100 [00:01<00:03, 21.35it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.090 | Best: {'fx': 526.263} (0.090):  32%|███▏      | 32/100 [00:01<00:03, 21.35it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.104 | Best: {'fx': 533.333} (0.104):  33%|███▎      | 33/100 [00:01<00:03, 21.35it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.104 | Best: {'fx': 533.333} (0.104):  34%|███▍      | 34/100 [00:01<00:04, 16.23it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.086 | Best: {'fx': 533.333} (0.104):  34%|███▍      | 34/100 [00:01<00:04, 16.23it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.072 | Best: {'fx': 533.333} (0.104):  35%|███▌      | 35/100 [00:01<00:04, 16.23it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.049 | Best: {'fx': 533.333} (0.104):  36%|███▌      | 36/100 [00:02<00:03, 16.23it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.049 | Best: {'fx': 533.333} (0.104):  37%|███▋      | 37/100 [00:02<00:03, 17.82it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.061 | Best: {'fx': 533.333} (0.104):  37%|███▋      | 37/100 [00:02<00:03, 17.82it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.045 | Best: {'fx': 533.333} (0.104):  38%|███▊      | 38/100 [00:02<00:03, 17.82it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.045 | Best: {'fx': 533.333} (0.104):  39%|███▉      | 39/100 [00:02<00:03, 17.63it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.054 | Best: {'fx': 533.333} (0.104):  39%|███▉      | 39/100 [00:02<00:03, 17.63it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.040 | Best: {'fx': 533.333} (0.104):  40%|████      | 40/100 [00:02<00:03, 17.63it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.037 | Best: {'fx': 533.333} (0.104):  41%|████      | 41/100 [00:02<00:03, 17.63it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.042 | Best: {'fx': 533.333} (0.104):  42%|████▏     | 42/100 [00:02<00:03, 17.63it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.034 | Best: {'fx': 533.333} (0.104):  43%|████▎     | 43/100 [00:02<00:03, 17.63it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.034 | Best: {'fx': 533.333} (0.104):  44%|████▍     | 44/100 [00:02<00:02, 23.61it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.036 | Best: {'fx': 533.333} (0.104):  44%|████▍     | 44/100 [00:02<00:02, 23.61it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.032 | Best: {'fx': 533.333} (0.104):  45%|████▌     | 45/100 [00:02<00:02, 23.61it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.032 | Best: {'fx': 533.333} (0.104):  46%|████▌     | 46/100 [00:02<00:02, 23.61it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.032 | Best: {'fx': 533.333} (0.104):  47%|████▋     | 47/100 [00:02<00:02, 24.35it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.030 | Best: {'fx': 533.333} (0.104):  47%|████▋     | 47/100 [00:02<00:02, 24.35it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.030 | Best: {'fx': 533.333} (0.104):  48%|████▊     | 48/100 [00:02<00:02, 24.35it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.027 | Best: {'fx': 533.333} (0.104):  49%|████▉     | 49/100 [00:02<00:02, 24.35it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.027 | Best: {'fx': 533.333} (0.104):  50%|█████     | 50/100 [00:02<00:02, 20.91it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.029 | Best: {'fx': 533.333} (0.104):  50%|█████     | 50/100 [00:02<00:02, 20.91it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.025 | Best: {'fx': 533.333} (0.104):  51%|█████     | 51/100 [00:02<00:02, 20.91it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.028 | Best: {'fx': 533.333} (0.104):  52%|█████▏    | 52/100 [00:02<00:02, 20.91it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.028 | Best: {'fx': 533.333} (0.104):  53%|█████▎    | 53/100 [00:02<00:02, 19.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.026 | Best: {'fx': 533.333} (0.104):  53%|█████▎    | 53/100 [00:02<00:02, 19.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.027 | Best: {'fx': 533.333} (0.104):  54%|█████▍    | 54/100 [00:02<00:02, 19.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.025 | Best: {'fx': 533.333} (0.104):  55%|█████▌    | 55/100 [00:02<00:02, 19.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.026 | Best: {'fx': 533.333} (0.104):  56%|█████▌    | 56/100 [00:02<00:02, 19.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.024 | Best: {'fx': 533.333} (0.104):  57%|█████▋    | 57/100 [00:02<00:02, 19.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.104):  58%|█████▊    | 58/100 [00:02<00:02, 19.21it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.104):  59%|█████▉    | 59/100 [00:02<00:01, 26.18it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.024 | Best: {'fx': 533.333} (0.104):  59%|█████▉    | 59/100 [00:02<00:01, 26.18it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.024 | Best: {'fx': 533.333} (0.104):  60%|██████    | 60/100 [00:02<00:01, 26.18it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.104):  61%|██████    | 61/100 [00:02<00:01, 26.18it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.104):  62%|██████▏   | 62/100 [00:02<00:01, 26.18it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.104):  63%|██████▎   | 63/100 [00:02<00:01, 26.18it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.104):  64%|██████▍   | 64/100 [00:02<00:01, 30.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.104):  64%|██████▍   | 64/100 [00:03<00:01, 30.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.104):  65%|██████▌   | 65/100 [00:03<00:01, 30.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.104):  66%|██████▌   | 66/100 [00:03<00:01, 30.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.104):  67%|██████▋   | 67/100 [00:03<00:01, 30.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.104):  68%|██████▊   | 68/100 [00:03<00:01, 30.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.104):  69%|██████▉   | 69/100 [00:03<00:00, 33.83it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.104):  69%|██████▉   | 69/100 [00:03<00:00, 33.83it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  70%|███████   | 70/100 [00:03<00:00, 33.83it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  71%|███████   | 71/100 [00:03<00:00, 33.83it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  72%|███████▏  | 72/100 [00:03<00:00, 33.83it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  73%|███████▎  | 73/100 [00:03<00:00, 31.93it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  73%|███████▎  | 73/100 [00:03<00:00, 31.93it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  74%|███████▍  | 74/100 [00:03<00:00, 31.93it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  75%|███████▌  | 75/100 [00:03<00:00, 31.93it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  76%|███████▌  | 76/100 [00:03<00:00, 31.93it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  77%|███████▋  | 77/100 [00:03<00:00, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.104):  77%|███████▋  | 77/100 [00:03<00:00, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  78%|███████▊  | 78/100 [00:03<00:00, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  79%|███████▉  | 79/100 [00:03<00:00, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  80%|████████  | 80/100 [00:03<00:00, 29.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  81%|████████  | 81/100 [00:03<00:00, 31.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  81%|████████  | 81/100 [00:03<00:00, 31.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  82%|████████▏ | 82/100 [00:03<00:00, 31.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  83%|████████▎ | 83/100 [00:03<00:00, 31.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  84%|████████▍ | 84/100 [00:03<00:00, 31.43it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  85%|████████▌ | 85/100 [00:03<00:00, 30.71it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  85%|████████▌ | 85/100 [00:03<00:00, 30.71it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  86%|████████▌ | 86/100 [00:03<00:00, 30.71it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.104):  87%|████████▋ | 87/100 [00:03<00:00, 30.71it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  88%|████████▊ | 88/100 [00:03<00:00, 30.71it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  89%|████████▉ | 89/100 [00:03<00:00, 29.73it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  89%|████████▉ | 89/100 [00:03<00:00, 29.73it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  90%|█████████ | 90/100 [00:03<00:00, 29.73it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  91%|█████████ | 91/100 [00:03<00:00, 29.73it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  92%|█████████▏| 92/100 [00:03<00:00, 29.73it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  93%|█████████▎| 93/100 [00:03<00:00, 28.19it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  93%|█████████▎| 93/100 [00:04<00:00, 28.19it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  94%|█████████▍| 94/100 [00:04<00:00, 28.19it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  95%|█████████▌| 95/100 [00:04<00:00, 28.19it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  96%|█████████▌| 96/100 [00:04<00:00, 22.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  96%|█████████▌| 96/100 [00:04<00:00, 22.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  97%|█████████▋| 97/100 [00:04<00:00, 22.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  98%|█████████▊| 98/100 [00:04<00:00, 22.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104):  99%|█████████▉| 99/100 [00:04<00:00, 22.17it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.104): 100%|██████████| 100/100 [00:04<00:00, 24.80it/s]
                                                                                                                                        

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.051 | Best: {'fx': 508.333} (0.051):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.051 | Best: {'fx': 508.333} (0.051):   2%|▏         | 1/50 [00:00<00:23,  2.10it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.053 | Best: {'fx': 509.354} (0.053):   2%|▏         | 1/50 [00:00<00:23,  2.10it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.054 | Best: {'fx': 510.374} (0.054):   4%|▍         | 2/50 [00:00<00:22,  2.10it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.054 | Best: {'fx': 510.374} (0.054):   6%|▌         | 3/50 [00:00<00:07,  5.99it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.056 | Best: {'fx': 511.395} (0.056):   6%|▌         | 3/50 [00:00<00:07,  5.99it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.057 | Best: {'fx': 512.415} (0.057):   8%|▊         | 4/50 [00:00<00:07,  5.99it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.059 | Best: {'fx': 513.435} (0.059):  10%|█         | 5/50 [00:00<00:07,  5.99it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.061 | Best: {'fx': 514.456} (0.061):  12%|█▏        | 6/50 [00:00<00:07,  5.99it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.061 | Best: {'fx': 514.456} (0.061):  14%|█▍        | 7/50 [00:00<00:03, 11.97it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.063 | Best: {'fx': 515.476} (0.063):  14%|█▍        | 7/50 [00:00<00:03, 11.97it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.066 | Best: {'fx': 516.497} (0.066):  16%|█▌        | 8/50 [00:00<00:03, 11.97it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.071 | Best: {'fx': 518.537} (0.071):  18%|█▊        | 9/50 [00:00<00:03, 11.97it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.071 | Best: {'fx': 518.537} (0.071):  20%|██        | 10/50 [00:00<00:02, 13.54it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.069 | Best: {'fx': 518.537} (0.071):  20%|██        | 10/50 [00:00<00:02, 13.54it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.074 | Best: {'fx': 519.558} (0.074):  22%|██▏       | 11/50 [00:00<00:02, 13.54it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.077 | Best: {'fx': 520.578} (0.077):  24%|██▍       | 12/50 [00:01<00:02, 13.54it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.079 | Best: {'fx': 521.599} (0.079):  26%|██▌       | 13/50 [00:01<00:02, 13.54it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.079 | Best: {'fx': 521.599} (0.079):  28%|██▊       | 14/50 [00:01<00:02, 17.48it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.083 | Best: {'fx': 522.619} (0.083):  28%|██▊       | 14/50 [00:01<00:02, 17.48it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.085 | Best: {'fx': 524.66} (0.085):  30%|███       | 15/50 [00:01<00:02, 17.48it/s] 
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.084 | Best: {'fx': 524.66} (0.085):  32%|███▏      | 16/50 [00:01<00:01, 17.48it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.084 | Best: {'fx': 524.66} (0.085):  34%|███▍      | 17/50 [00:01<00:01, 18.59it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.089 | Best: {'fx': 525.68} (0.089):  34%|███▍      | 17/50 [00:01<00:01, 18.59it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.089 | Best: {'fx': 526.701} (0.089):  36%|███▌      | 18/50 [00:01<00:01, 18.59it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.091 | Best: {'fx': 527.721} (0.091):  38%|███▊      | 19/50 [00:01<00:01, 18.59it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.091 | Best: {'fx': 527.721} (0.091):  40%|████      | 20/50 [00:01<00:01, 20.72it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.094 | Best: {'fx': 528.741} (0.094):  40%|████      | 20/50 [00:01<00:01, 20.72it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.100 | Best: {'fx': 529.762} (0.100):  42%|████▏     | 21/50 [00:01<00:01, 20.72it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.104 | Best: {'fx': 530.782} (0.104):  44%|████▍     | 22/50 [00:01<00:01, 20.72it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.104 | Best: {'fx': 530.782} (0.104):  46%|████▌     | 23/50 [00:01<00:01, 18.84it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.107 | Best: {'fx': 531.803} (0.107):  46%|████▌     | 23/50 [00:01<00:01, 18.84it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.107 | Best: {'fx': 531.803} (0.107):  48%|████▊     | 24/50 [00:01<00:01, 18.84it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.105 | Best: {'fx': 531.803} (0.107):  50%|█████     | 25/50 [00:01<00:01, 18.84it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.105 | Best: {'fx': 531.803} (0.107):  52%|█████▏    | 26/50 [00:01<00:01, 19.24it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.088 | Best: {'fx': 531.803} (0.107):  52%|█████▏    | 26/50 [00:01<00:01, 19.24it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.097 | Best: {'fx': 531.803} (0.107):  54%|█████▍    | 27/50 [00:01<00:01, 19.24it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.082 | Best: {'fx': 531.803} (0.107):  56%|█████▌    | 28/50 [00:01<00:01, 19.24it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.082 | Best: {'fx': 531.803} (0.107):  58%|█████▊    | 29/50 [00:01<00:01, 20.06it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.100 | Best: {'fx': 531.803} (0.107):  58%|█████▊    | 29/50 [00:01<00:01, 20.06it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.085 | Best: {'fx': 531.803} (0.107):  60%|██████    | 30/50 [00:01<00:00, 20.06it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.102 | Best: {'fx': 531.803} (0.107):  62%|██████▏   | 31/50 [00:01<00:00, 20.06it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.080 | Best: {'fx': 531.803} (0.107):  64%|██████▍   | 32/50 [00:01<00:00, 20.06it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.078 | Best: {'fx': 531.803} (0.107):  66%|██████▌   | 33/50 [00:01<00:00, 20.06it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.077 | Best: {'fx': 531.803} (0.107):  68%|██████▊   | 34/50 [00:01<00:00, 20.06it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.091 | Best: {'fx': 531.803} (0.107):  70%|███████   | 35/50 [00:01<00:00, 20.06it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.095 | Best: {'fx': 531.803} (0.107):  72%|███████▏  | 36/50 [00:01<00:00, 20.06it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.095 | Best: {'fx': 531.803} (0.107):  74%|███████▍  | 37/50 [00:01<00:00, 32.50it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.073 | Best: {'fx': 531.803} (0.107):  74%|███████▍  | 37/50 [00:02<00:00, 32.50it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.074 | Best: {'fx': 531.803} (0.107):  76%|███████▌  | 38/50 [00:02<00:00, 32.50it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.071 | Best: {'fx': 531.803} (0.107):  78%|███████▊  | 39/50 [00:02<00:00, 32.50it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.069 | Best: {'fx': 531.803} (0.107):  80%|████████  | 40/50 [00:02<00:00, 32.50it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.069 | Best: {'fx': 531.803} (0.107):  82%|████████▏ | 41/50 [00:02<00:00, 31.18it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.067 | Best: {'fx': 531.803} (0.107):  82%|████████▏ | 41/50 [00:02<00:00, 31.18it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.066 | Best: {'fx': 531.803} (0.107):  84%|████████▍ | 42/50 [00:02<00:00, 31.18it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.065 | Best: {'fx': 531.803} (0.107):  86%|████████▌ | 43/50 [00:02<00:00, 31.18it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.062 | Best: {'fx': 531.803} (0.107):  88%|████████▊ | 44/50 [00:02<00:00, 31.18it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.062 | Best: {'fx': 531.803} (0.107):  90%|█████████ | 45/50 [00:02<00:00, 28.60it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.063 | Best: {'fx': 531.803} (0.107):  90%|█████████ | 45/50 [00:02<00:00, 28.60it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.060 | Best: {'fx': 531.803} (0.107):  92%|█████████▏| 46/50 [00:02<00:00, 28.60it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.058 | Best: {'fx': 531.803} (0.107):  94%|█████████▍| 47/50 [00:02<00:00, 28.60it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.058 | Best: {'fx': 531.803} (0.107):  96%|█████████▌| 48/50 [00:02<00:00, 28.60it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.058 | Best: {'fx': 531.803} (0.107):  98%|█████████▊| 49/50 [00:02<00:00, 30.41it/s]
Brute | Start: {'fx': 533.333} (0.104) | Current: 0.056 | Best: {'fx': 531.803} (0.107):  98%|█████████▊| 49/50 [00:02<00:00, 30.41it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 531.8027210884354
    px: 1010.0
    py: 723.0
    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

  [Ring preference] diameter=3500 mm  →  radius=508.2 px

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

Initial score: 11.8971: 0iter [00:00, ?iter/s]  [Ring mask] 92,704/99,242 points within ring radius 508.2 px
[DEBUG] objective(x0) = 11.8971, picklable_objective(x0) = 10.0808

Best score: 10.0808: : 0iter [00:02, ?iter/s] 
Best score: 10.0808: : 1iter [00:02,  2.27s/iter]
Best score: 10.0808: : 1iter [00:02,  2.27s/iter]
Best score: 10.0808: : 2iter [00:02,  1.03s/iter]
Best score: 10.0808: : 2iter [00:02,  1.03s/iter]
Best score: 10.0808: : 3iter [00:02,  1.58iter/s]
Best score: 10.0808: : 3iter [00:02,  1.58iter/s]
Best score: 10.0808: : 4iter [00:02,  2.25iter/s]
Best score: 10.0808: : 4iter [00:02,  2.25iter/s]
Best score: 10.0808: : 5iter [00:02,  2.93iter/s]
Best score: 10.0808: : 5iter [00:03,  2.93iter/s]
Best score: 10.0808: : 6iter [00:03,  3.59iter/s]
Best score: 10.0808: : 6iter [00:03,  3.59iter/s]
Best score: 10.0808: : 7iter [00:03,  4.18iter/s]
Best score: 10.0808: : 7iter [00:03,  4.18iter/s]
Best score: 10.0808: : 8iter [00:03,  4.68iter/s]
Best score: 10.0808: : 8iter [00:03,  4.68iter/s]
Best score: 10.0808: : 9iter [00:03,  5.10iter/s]
Best score: 10.0808: : 9iter [00:03,  5.10iter/s]
Best score: 10.0808: : 10iter [00:03,  5.29iter/s]
Best score: 10.0808: : 10iter [00:03,  5.29iter/s]
Best score: 10.0808: : 11iter [00:03,  5.57iter/s]
Best score: 10.0808: : 11iter [00:04,  5.57iter/s]
Best score: 10.0808: : 12iter [00:04,  5.79iter/s]
Best score: 10.0808: : 12iter [00:04,  5.79iter/s]
Best score: 10.0808: : 13iter [00:04,  5.94iter/s]
Best score: 10.0808: : 13iter [00:04,  5.94iter/s]
Best score: 10.0808: : 14iter [00:04,  6.05iter/s]
Best score: 10.0808: : 14iter [00:04,  6.05iter/s]
Best score: 10.0808: : 15iter [00:04,  6.12iter/s]
Best score: 10.0808: : 15iter [00:04,  6.12iter/s]
Best score: 10.0808: : 16iter [00:04,  6.18iter/s]
Best score: 10.0808: : 16iter [00:04,  6.18iter/s]
Best score: 10.0808: : 17iter [00:04,  6.23iter/s]
Best score: 10.0808: : 17iter [00:04,  6.23iter/s]
Best score: 10.0808: : 18iter [00:04,  6.28iter/s]
Best score: 10.0808: : 18iter [00:05,  6.28iter/s]
Best score: 10.0808: : 19iter [00:05,  6.30iter/s]
Best score: 10.0808: : 19iter [00:05,  6.30iter/s]
Best score: 10.0808: : 20iter [00:05,  6.14iter/s]
Best score: 10.0808: : 20iter [00:05,  6.14iter/s]
Best score: 10.0808: : 21iter [00:05,  6.19iter/s]
Best score: 10.0808: : 21iter [00:05,  6.19iter/s]
Best score: 10.0808: : 22iter [00:05,  6.25iter/s]
Best score: 10.0808: : 22iter [00:05,  6.25iter/s]
Best score: 10.0808: : 23iter [00:05,  6.28iter/s]
Best score: 10.0808: : 23iter [00:05,  6.28iter/s]
Best score: 10.0808: : 24iter [00:05,  6.29iter/s]
Best score: 10.0808: : 24iter [00:06,  6.29iter/s]
Best score: 10.0808: : 25iter [00:06,  6.33iter/s]
Best score: 10.0808: : 25iter [00:06,  6.33iter/s]
Best score: 10.0808: : 26iter [00:06,  6.35iter/s]
Best score: 10.0808: : 26iter [00:06,  6.35iter/s]
Best score: 10.0808: : 27iter [00:06,  6.36iter/s]
Best score: 10.0808: : 27iter [00:06,  6.36iter/s]
Best score: 10.0808: : 28iter [00:06,  6.36iter/s]
Best score: 10.0808: : 28iter [00:06,  6.36iter/s]
Best score: 10.0808: : 29iter [00:06,  6.36iter/s]
Best score: 10.0808: : 29iter [00:06,  6.36iter/s]
Best score: 10.0808: : 30iter [00:06,  6.18iter/s]
Best score: 10.0808: : 30iter [00:07,  6.18iter/s]
Best score: 10.0808: : 31iter [00:07,  6.21iter/s]
Best score: 10.0808: : 31iter [00:07,  6.21iter/s]
Best score: 10.0808: : 32iter [00:07,  6.25iter/s]
Best score: 10.0808: : 32iter [00:07,  6.25iter/s]
Best score: 10.0808: : 33iter [00:07,  6.28iter/s]
Best score: 10.0808: : 33iter [00:07,  6.28iter/s]
Best score: 10.0808: : 34iter [00:07,  6.33iter/s]
Best score: 10.0808: : 34iter [00:07,  6.33iter/s]
Best score: 10.0808: : 35iter [00:07,  6.32iter/s]
Best score: 10.0808: : 35iter [00:07,  6.32iter/s]
Best score: 10.0808: : 36iter [00:07,  6.32iter/s]
Best score: 10.0808: : 36iter [00:07,  6.32iter/s]
Best score: 10.0808: : 37iter [00:07,  6.33iter/s]
Best score: 10.0808: : 37iter [00:08,  6.33iter/s]
Best score: 10.0808: : 38iter [00:08,  6.33iter/s]
Best score: 10.0808: : 38iter [00:08,  6.33iter/s]
Best score: 10.0808: : 39iter [00:08,  6.35iter/s]
Best score: 3.4591: : 39iter [00:08,  6.35iter/s] 
Best score: 3.4591: : 40iter [00:08,  6.15iter/s]
Best score: 3.4591: : 40iter [00:08,  6.15iter/s]
Best score: 3.4591: : 41iter [00:08,  6.21iter/s]
Best score: 3.4591: : 41iter [00:08,  6.21iter/s]
Best score: 3.4591: : 42iter [00:08,  6.24iter/s]
Best score: 3.4591: : 42iter [00:08,  6.24iter/s]
Best score: 3.4591: : 43iter [00:08,  6.25iter/s]
Best score: 3.4591: : 43iter [00:09,  6.25iter/s]
Best score: 3.4591: : 44iter [00:09,  6.28iter/s]
Best score: 3.4591: : 44iter [00:09,  6.28iter/s]
Best score: 3.4591: : 45iter [00:09,  6.29iter/s]
Best score: 3.4591: : 45iter [00:09,  6.29iter/s]
Best score: 3.4591: : 46iter [00:09,  6.31iter/s]
Best score: 3.4591: : 46iter [00:09,  6.31iter/s]
Best score: 3.4591: : 47iter [00:09,  6.32iter/s]
Best score: 3.4591: : 47iter [00:09,  6.32iter/s]
Best score: 3.4591: : 48iter [00:09,  6.33iter/s]
Best score: 3.4591: : 48iter [00:09,  6.33iter/s]
Best score: 3.4591: : 49iter [00:09,  6.35iter/s]
[ITER 50] Best: 3.2542
[PARAMS] Current best parameters:
  fx: 539.6006
  fy: 539.2180
  px: 1016.8213
  py: 726.0016
  k1: -0.02341079
  k2: 0.00887577
  k3: -0.00112879
  k4: -0.00013134
  p1: -0.00373984
  p2: -0.00006308
  p3: 0.00652090
  p4: -0.00019367
  scale: 3.0676
  rotation: -0.6249

Best score: 3.2542: : 49iter [00:10,  6.35iter/s]
Best score: 3.2542: : 50iter [00:10,  6.15iter/s]
Best score: 3.2542: : 50iter [00:10,  6.15iter/s]
Best score: 3.2542: : 51iter [00:10,  6.21iter/s]
Best score: 3.2542: : 51iter [00:10,  6.21iter/s]
Best score: 3.2542: : 52iter [00:10,  6.26iter/s]
Best score: 3.2542: : 52iter [00:10,  6.26iter/s]
Best score: 3.2542: : 53iter [00:10,  6.28iter/s]
Best score: 3.2542: : 53iter [00:10,  6.28iter/s]
Best score: 3.2542: : 54iter [00:10,  6.30iter/s]
Best score: 3.2542: : 54iter [00:10,  6.30iter/s]
Best score: 3.2542: : 55iter [00:10,  6.31iter/s]
Best score: 3.2542: : 55iter [00:11,  6.31iter/s]
Best score: 3.2542: : 56iter [00:11,  6.32iter/s]
Best score: 3.2542: : 56iter [00:11,  6.32iter/s]
Best score: 3.2542: : 57iter [00:11,  6.34iter/s]
Best score: 3.2542: : 57iter [00:11,  6.34iter/s]
Best score: 3.2542: : 58iter [00:11,  6.36iter/s]
Best score: 3.2542: : 58iter [00:11,  6.36iter/s]
Best score: 3.2542: : 59iter [00:11,  6.35iter/s]
Best score: 2.3398: : 59iter [00:11,  6.35iter/s]
Best score: 2.3398: : 60iter [00:11,  6.16iter/s]
Best score: 2.3398: : 60iter [00:11,  6.16iter/s]
Best score: 2.3398: : 61iter [00:11,  6.21iter/s]
Best score: 2.3398: : 61iter [00:11,  6.21iter/s]
Best score: 2.3398: : 62iter [00:11,  6.24iter/s]
Best score: 2.3398: : 62iter [00:12,  6.24iter/s]
Best score: 2.3398: : 63iter [00:12,  6.24iter/s]
Best score: 2.3398: : 63iter [00:12,  6.24iter/s]
Best score: 2.3398: : 64iter [00:12,  6.26iter/s]
Best score: 2.3398: : 64iter [00:12,  6.26iter/s]
Best score: 2.3398: : 65iter [00:12,  6.28iter/s]
Best score: 2.3398: : 65iter [00:12,  6.28iter/s]
Best score: 2.3398: : 66iter [00:12,  6.29iter/s]
Best score: 2.3398: : 66iter [00:12,  6.29iter/s]
Best score: 2.3398: : 67iter [00:12,  6.30iter/s]
Best score: 2.3398: : 67iter [00:12,  6.30iter/s]
Best score: 2.3398: : 68iter [00:12,  6.31iter/s]
Best score: 2.3398: : 68iter [00:13,  6.31iter/s]
Best score: 2.3398: : 69iter [00:13,  6.31iter/s]
Best score: 1.9672: : 69iter [00:13,  6.31iter/s]
Best score: 1.9672: : 70iter [00:13,  6.13iter/s]
Best score: 1.9672: : 70iter [00:13,  6.13iter/s]
Best score: 1.9672: : 71iter [00:13,  6.19iter/s]
Best score: 1.9672: : 71iter [00:13,  6.19iter/s]
Best score: 1.9672: : 72iter [00:13,  6.22iter/s]
Best score: 1.9672: : 72iter [00:13,  6.22iter/s]
Best score: 1.9672: : 73iter [00:13,  6.25iter/s]
Best score: 1.9672: : 73iter [00:13,  6.25iter/s]
Best score: 1.9672: : 74iter [00:13,  6.28iter/s]
Best score: 1.9672: : 74iter [00:14,  6.28iter/s]
Best score: 1.9672: : 75iter [00:14,  6.31iter/s]
Best score: 1.9672: : 75iter [00:14,  6.31iter/s]
Best score: 1.9672: : 76iter [00:14,  6.32iter/s]
Best score: 1.9672: : 76iter [00:14,  6.32iter/s]
Best score: 1.9672: : 77iter [00:14,  6.33iter/s]
Best score: 1.9672: : 77iter [00:14,  6.33iter/s]
Best score: 1.9672: : 78iter [00:14,  6.35iter/s]
Best score: 1.9672: : 78iter [00:14,  6.35iter/s]
Best score: 1.9672: : 79iter [00:14,  6.36iter/s]
Best score: 1.1300: : 79iter [00:14,  6.36iter/s]
Best score: 1.1300: : 80iter [00:14,  6.17iter/s]
Best score: 1.1300: : 80iter [00:15,  6.17iter/s]
Best score: 1.1300: : 81iter [00:15,  6.23iter/s]
Best score: 1.1300: : 81iter [00:15,  6.23iter/s]
Best score: 1.1300: : 82iter [00:15,  6.27iter/s]
Best score: 1.1300: : 82iter [00:15,  6.27iter/s]
Best score: 1.1300: : 83iter [00:15,  6.29iter/s]
Best score: 1.1300: : 83iter [00:15,  6.29iter/s]
Best score: 1.1300: : 84iter [00:15,  6.31iter/s]
Best score: 1.1300: : 84iter [00:15,  6.31iter/s]
Best score: 1.1300: : 85iter [00:15,  6.32iter/s]
Best score: 1.1300: : 85iter [00:15,  6.32iter/s]
Best score: 1.1300: : 86iter [00:15,  6.34iter/s]
Best score: 1.1300: : 86iter [00:15,  6.34iter/s]
Best score: 1.1300: : 87iter [00:15,  6.34iter/s]
Best score: 1.1300: : 87iter [00:16,  6.34iter/s]
Best score: 1.1300: : 88iter [00:16,  6.36iter/s]
Best score: 1.1300: : 88iter [00:16,  6.36iter/s]
Best score: 1.1300: : 89iter [00:16,  6.36iter/s]
Best score: 0.9523: : 89iter [00:16,  6.36iter/s]
Best score: 0.9523: : 90iter [00:16,  6.16iter/s]
Best score: 0.9523: : 90iter [00:16,  6.16iter/s]
Best score: 0.9523: : 91iter [00:16,  6.22iter/s]
Best score: 0.9523: : 91iter [00:16,  6.22iter/s]
Best score: 0.9523: : 92iter [00:16,  6.24iter/s]
Best score: 0.9523: : 92iter [00:16,  6.24iter/s]
Best score: 0.9523: : 93iter [00:16,  6.29iter/s]
Best score: 0.9523: : 93iter [00:17,  6.29iter/s]
Best score: 0.9523: : 94iter [00:17,  6.30iter/s]
Best score: 0.9523: : 94iter [00:17,  6.30iter/s]
Best score: 0.9523: : 95iter [00:17,  6.32iter/s]
Best score: 0.9523: : 95iter [00:17,  6.32iter/s]
Best score: 0.9523: : 96iter [00:17,  6.34iter/s]
Best score: 0.9523: : 96iter [00:17,  6.34iter/s]
Best score: 0.9523: : 97iter [00:17,  6.35iter/s]
Best score: 0.9523: : 97iter [00:17,  6.35iter/s]
Best score: 0.9523: : 98iter [00:17,  6.37iter/s]
Best score: 0.9523: : 98iter [00:17,  6.37iter/s]
Best score: 0.9523: : 99iter [00:17,  6.38iter/s]
[ITER 100] Best: 0.9523
[PARAMS] Current best parameters:
  fx: 565.0999
  fy: 565.4849
  px: 1012.2727
  py: 722.4357
  k1: -0.03342535
  k2: 0.00097855
  k3: -0.00327152
  k4: 0.00214907
  p1: -0.00933171
  p2: -0.00880494
  p3: 0.00954375
  p4: -0.00312501
  scale: 3.0049
  rotation: -0.1530

Best score: 0.9523: : 99iter [00:18,  6.38iter/s]
Best score: 0.9523: : 100iter [00:18,  6.16iter/s]
Best score: 0.9523: : 100iter [00:18,  6.16iter/s]
Best score: 0.9523: : 101iter [00:18,  6.22iter/s]
Best score: 0.9523: : 101iter [00:18,  6.22iter/s]
Best score: 0.9523: : 102iter [00:18,  6.27iter/s]
Best score: 0.9523: : 102iter [00:18,  6.27iter/s]
Best score: 0.9523: : 103iter [00:18,  6.29iter/s]
Best score: 0.9523: : 103iter [00:18,  6.29iter/s]
Best score: 0.9523: : 104iter [00:18,  6.32iter/s]
Best score: 0.9523: : 104iter [00:18,  6.32iter/s]
Best score: 0.9523: : 105iter [00:18,  6.33iter/s]
Best score: 0.9523: : 105iter [00:18,  6.33iter/s]
Best score: 0.9523: : 106iter [00:18,  6.34iter/s]
Best score: 0.9523: : 106iter [00:19,  6.34iter/s]
Best score: 0.9523: : 107iter [00:19,  6.35iter/s]
Best score: 0.9523: : 107iter [00:19,  6.35iter/s]
Best score: 0.9523: : 108iter [00:19,  6.36iter/s]
Best score: 0.9523: : 108iter [00:19,  6.36iter/s]
Best score: 0.9523: : 109iter [00:19,  6.36iter/s]
Best score: 0.6218: : 109iter [00:19,  6.36iter/s]
Best score: 0.6218: : 110iter [00:19,  6.16iter/s]
Best score: 0.6218: : 110iter [00:19,  6.16iter/s]
Best score: 0.6218: : 111iter [00:19,  6.22iter/s]
Best score: 0.6218: : 111iter [00:19,  6.22iter/s]
Best score: 0.6218: : 112iter [00:19,  6.26iter/s]
Best score: 0.6218: : 112iter [00:20,  6.26iter/s]
Best score: 0.6218: : 113iter [00:20,  6.30iter/s]
Best score: 0.6218: : 113iter [00:20,  6.30iter/s]
Best score: 0.6218: : 114iter [00:20,  6.31iter/s]
Best score: 0.6218: : 114iter [00:20,  6.31iter/s]
Best score: 0.6218: : 115iter [00:20,  6.32iter/s]
Best score: 0.6218: : 115iter [00:20,  6.32iter/s]
Best score: 0.6218: : 116iter [00:20,  6.34iter/s]
Best score: 0.6218: : 116iter [00:20,  6.34iter/s]
Best score: 0.6218: : 117iter [00:20,  6.34iter/s]
Best score: 0.6218: : 117iter [00:20,  6.34iter/s]
Best score: 0.6218: : 118iter [00:20,  6.34iter/s]
Best score: 0.6218: : 118iter [00:21,  6.34iter/s]
Best score: 0.6218: : 119iter [00:21,  6.34iter/s]
Best score: 0.6218: : 119iter [00:21,  6.34iter/s]
Best score: 0.6218: : 120iter [00:21,  6.15iter/s]
Best score: 0.6218: : 120iter [00:21,  6.15iter/s]
Best score: 0.6218: : 121iter [00:21,  6.21iter/s]
Best score: 0.6218: : 121iter [00:21,  6.21iter/s]
Best score: 0.6218: : 122iter [00:21,  6.26iter/s]
Best score: 0.6218: : 122iter [00:21,  6.26iter/s]
Best score: 0.6218: : 123iter [00:21,  6.30iter/s]
Best score: 0.6218: : 123iter [00:21,  6.30iter/s]
Best score: 0.6218: : 124iter [00:21,  6.32iter/s]
Best score: 0.6218: : 124iter [00:21,  6.32iter/s]
Best score: 0.6218: : 125iter [00:21,  6.34iter/s]
Best score: 0.6218: : 125iter [00:22,  6.34iter/s]
Best score: 0.6218: : 126iter [00:22,  6.35iter/s]
Best score: 0.6218: : 126iter [00:22,  6.35iter/s]
Best score: 0.6218: : 127iter [00:22,  6.34iter/s]
Best score: 0.6218: : 127iter [00:22,  6.34iter/s]
Best score: 0.6218: : 128iter [00:22,  6.34iter/s]
Best score: 0.6218: : 128iter [00:22,  6.34iter/s]
Best score: 0.6218: : 129iter [00:22,  6.35iter/s]
Best score: 0.5265: : 129iter [00:22,  6.35iter/s]
Best score: 0.5265: : 130iter [00:22,  6.15iter/s]
Best score: 0.5265: : 130iter [00:22,  6.15iter/s]
Best score: 0.5265: : 131iter [00:22,  6.20iter/s]
Best score: 0.5265: : 131iter [00:23,  6.20iter/s]
Best score: 0.5265: : 132iter [00:23,  6.24iter/s]
Best score: 0.5265: : 132iter [00:23,  6.24iter/s]
Best score: 0.5265: : 133iter [00:23,  6.27iter/s]
Best score: 0.5265: : 133iter [00:23,  6.27iter/s]
Best score: 0.5265: : 134iter [00:23,  6.30iter/s]
Best score: 0.5265: : 134iter [00:23,  6.30iter/s]
Best score: 0.5265: : 135iter [00:23,  6.32iter/s]
Best score: 0.5265: : 135iter [00:23,  6.32iter/s]
Best score: 0.5265: : 136iter [00:23,  6.34iter/s]
Best score: 0.5265: : 136iter [00:23,  6.34iter/s]
Best score: 0.5265: : 137iter [00:23,  6.34iter/s]
Best score: 0.5265: : 137iter [00:24,  6.34iter/s]
Best score: 0.5265: : 138iter [00:24,  6.35iter/s]
Best score: 0.5265: : 138iter [00:24,  6.35iter/s]
Best score: 0.5265: : 139iter [00:24,  6.36iter/s]
Best score: 0.4871: : 139iter [00:24,  6.36iter/s]
Best score: 0.4871: : 140iter [00:24,  6.17iter/s]
Best score: 0.4871: : 140iter [00:24,  6.17iter/s]
Best score: 0.4871: : 141iter [00:24,  6.23iter/s]
Best score: 0.4871: : 141iter [00:24,  6.23iter/s]
Best score: 0.4871: : 142iter [00:24,  6.27iter/s]
Best score: 0.4871: : 142iter [00:24,  6.27iter/s]
Best score: 0.4871: : 143iter [00:24,  6.30iter/s]
Best score: 0.4871: : 143iter [00:25,  6.30iter/s]
Best score: 0.4871: : 144iter [00:25,  6.33iter/s]
Best score: 0.4871: : 144iter [00:25,  6.33iter/s]
Best score: 0.4871: : 145iter [00:25,  6.34iter/s]
Best score: 0.4871: : 145iter [00:25,  6.34iter/s]
Best score: 0.4871: : 146iter [00:25,  6.34iter/s]
Best score: 0.4871: : 146iter [00:25,  6.34iter/s]
Best score: 0.4871: : 147iter [00:25,  6.35iter/s]
Best score: 0.4871: : 147iter [00:25,  6.35iter/s]
Best score: 0.4871: : 148iter [00:25,  6.35iter/s]
Best score: 0.4871: : 148iter [00:25,  6.35iter/s]
Best score: 0.4871: : 149iter [00:25,  6.36iter/s]
[ITER 150] Best: 0.4217
[PARAMS] Current best parameters:
  fx: 567.9363
  fy: 566.8667
  px: 1011.3497
  py: 723.0658
  k1: -0.04384136
  k2: 0.00274523
  k3: 0.00468926
  k4: -0.00140055
  p1: -0.00845838
  p2: -0.00906488
  p3: 0.00376900
  p4: 0.00402239
  scale: 3.0161
  rotation: -0.2392

Best score: 0.4217: : 149iter [00:25,  6.36iter/s]
Best score: 0.4217: : 150iter [00:25,  6.17iter/s]
Best score: 0.4217: : 150iter [00:26,  6.17iter/s]
Best score: 0.4217: : 151iter [00:26,  6.22iter/s]
Best score: 0.4217: : 151iter [00:26,  6.22iter/s]
Best score: 0.4217: : 152iter [00:26,  6.26iter/s]
Best score: 0.4217: : 152iter [00:26,  6.26iter/s]
Best score: 0.4217: : 153iter [00:26,  6.29iter/s]
Best score: 0.4217: : 153iter [00:26,  6.29iter/s]
Best score: 0.4217: : 154iter [00:26,  6.32iter/s]
Best score: 0.4217: : 154iter [00:26,  6.32iter/s]
Best score: 0.4217: : 155iter [00:26,  6.34iter/s]
Best score: 0.4217: : 155iter [00:26,  6.34iter/s]
Best score: 0.4217: : 156iter [00:26,  6.36iter/s]
Best score: 0.4217: : 156iter [00:27,  6.36iter/s]
Best score: 0.4217: : 157iter [00:27,  6.36iter/s]
Best score: 0.4217: : 157iter [00:27,  6.36iter/s]
Best score: 0.4217: : 158iter [00:27,  6.36iter/s]
Best score: 0.4217: : 158iter [00:27,  6.36iter/s]
Best score: 0.4217: : 159iter [00:27,  6.37iter/s]
Best score: 0.3823: : 159iter [00:27,  6.37iter/s]
Best score: 0.3823: : 160iter [00:27,  6.18iter/s]
Best score: 0.3823: : 160iter [00:27,  6.18iter/s]
Best score: 0.3823: : 161iter [00:27,  6.24iter/s]
Best score: 0.3823: : 161iter [00:27,  6.24iter/s]
Best score: 0.3823: : 162iter [00:27,  6.28iter/s]
Best score: 0.3823: : 162iter [00:28,  6.28iter/s]
Best score: 0.3823: : 163iter [00:28,  6.31iter/s]
Best score: 0.3823: : 163iter [00:28,  6.31iter/s]
Best score: 0.3823: : 164iter [00:28,  6.34iter/s]
Best score: 0.3823: : 164iter [00:28,  6.34iter/s]
Best score: 0.3823: : 165iter [00:28,  6.33iter/s]
Best score: 0.3823: : 165iter [00:28,  6.33iter/s]
Best score: 0.3823: : 166iter [00:28,  6.33iter/s]
Best score: 0.3823: : 166iter [00:28,  6.33iter/s]
Best score: 0.3823: : 167iter [00:28,  6.34iter/s]
Best score: 0.3823: : 167iter [00:28,  6.34iter/s]
Best score: 0.3823: : 168iter [00:28,  6.34iter/s]
Best score: 0.3823: : 168iter [00:28,  6.34iter/s]
Best score: 0.3823: : 169iter [00:28,  6.33iter/s]
Best score: 0.3730: : 169iter [00:29,  6.33iter/s]
Best score: 0.3730: : 170iter [00:29,  6.14iter/s]
Best score: 0.3730: : 170iter [00:29,  6.14iter/s]
Best score: 0.3730: : 171iter [00:29,  6.21iter/s]
Best score: 0.3730: : 171iter [00:29,  6.21iter/s]
Best score: 0.3730: : 172iter [00:29,  6.25iter/s]
Best score: 0.3730: : 172iter [00:29,  6.25iter/s]
Best score: 0.3730: : 173iter [00:29,  6.27iter/s]
Best score: 0.3730: : 173iter [00:29,  6.27iter/s]
Best score: 0.3730: : 174iter [00:29,  6.30iter/s]
Best score: 0.3730: : 174iter [00:29,  6.30iter/s]
Best score: 0.3730: : 175iter [00:29,  6.30iter/s]
Best score: 0.3730: : 175iter [00:30,  6.30iter/s]
Best score: 0.3730: : 176iter [00:30,  6.32iter/s]
Best score: 0.3730: : 176iter [00:30,  6.32iter/s]
Best score: 0.3730: : 177iter [00:30,  6.34iter/s]
Best score: 0.3730: : 177iter [00:30,  6.34iter/s]
Best score: 0.3730: : 178iter [00:30,  6.35iter/s]
Best score: 0.3730: : 178iter [00:30,  6.35iter/s]
Best score: 0.3730: : 179iter [00:30,  6.34iter/s]
Best score: 0.3543: : 179iter [00:30,  6.34iter/s]
Best score: 0.3543: : 180iter [00:30,  6.14iter/s]
Best score: 0.3543: : 180iter [00:30,  6.14iter/s]
Best score: 0.3543: : 181iter [00:30,  6.20iter/s]
Best score: 0.3543: : 181iter [00:31,  6.20iter/s]
Best score: 0.3543: : 182iter [00:31,  6.24iter/s]
Best score: 0.3543: : 182iter [00:31,  6.24iter/s]
Best score: 0.3543: : 183iter [00:31,  6.27iter/s]
Best score: 0.3543: : 183iter [00:31,  6.27iter/s]
Best score: 0.3543: : 184iter [00:31,  6.29iter/s]
Best score: 0.3543: : 184iter [00:31,  6.29iter/s]
Best score: 0.3543: : 185iter [00:31,  6.31iter/s]
Best score: 0.3543: : 185iter [00:31,  6.31iter/s]
Best score: 0.3543: : 186iter [00:31,  6.33iter/s]
Best score: 0.3543: : 186iter [00:31,  6.33iter/s]
Best score: 0.3543: : 187iter [00:31,  6.33iter/s]
Best score: 0.3543: : 187iter [00:32,  6.33iter/s]
Best score: 0.3543: : 188iter [00:32,  6.34iter/s]
Best score: 0.3543: : 188iter [00:32,  6.34iter/s]
Best score: 0.3543: : 189iter [00:32,  6.36iter/s]
Best score: 0.3491: : 189iter [00:32,  6.36iter/s]
Best score: 0.3491: : 190iter [00:32,  6.16iter/s]
Best score: 0.3491: : 190iter [00:32,  6.16iter/s]
Best score: 0.3491: : 191iter [00:32,  6.21iter/s]
Best score: 0.3491: : 191iter [00:32,  6.21iter/s]
Best score: 0.3491: : 192iter [00:32,  6.24iter/s]
Best score: 0.3491: : 192iter [00:32,  6.24iter/s]
Best score: 0.3491: : 193iter [00:32,  6.28iter/s]
Best score: 0.3491: : 193iter [00:32,  6.28iter/s]
Best score: 0.3491: : 194iter [00:32,  6.30iter/s]
Best score: 0.3491: : 194iter [00:33,  6.30iter/s]
Best score: 0.3491: : 195iter [00:33,  6.32iter/s]
Best score: 0.3491: : 195iter [00:33,  6.32iter/s]
Best score: 0.3491: : 196iter [00:33,  6.32iter/s]
Best score: 0.3491: : 196iter [00:33,  6.32iter/s]
Best score: 0.3491: : 197iter [00:33,  6.33iter/s]
Best score: 0.3491: : 197iter [00:33,  6.33iter/s]
Best score: 0.3491: : 198iter [00:33,  6.34iter/s]
Best score: 0.3491: : 198iter [00:33,  6.34iter/s]
Best score: 0.3491: : 199iter [00:33,  6.34iter/s]
[ITER 200] Best: 0.3380
[PARAMS] Current best parameters:
  fx: 576.9861
  fy: 576.3800
  px: 1012.1949
  py: 723.9897
  k1: -0.04721651
  k2: -0.00887148
  k3: 0.01616849
  k4: -0.00500791
  p1: -0.00660126
  p2: -0.00683157
  p3: 0.00451908
  p4: 0.00214116
  scale: 3.0055
  rotation: -0.2213

Best score: 0.3380: : 199iter [00:33,  6.34iter/s]
Best score: 0.3380: : 200iter [00:33,  6.15iter/s]
Best score: 0.3380: : 200iter [00:34,  6.15iter/s]
Best score: 0.3380: : 201iter [00:34,  6.21iter/s]
Best score: 0.3380: : 201iter [00:34,  6.21iter/s]
Best score: 0.3380: : 202iter [00:34,  6.26iter/s]
Best score: 0.3380: : 202iter [00:34,  6.26iter/s]
Best score: 0.3380: : 203iter [00:34,  6.29iter/s]
Best score: 0.3380: : 203iter [00:34,  6.29iter/s]
Best score: 0.3380: : 204iter [00:34,  6.31iter/s]
Best score: 0.3380: : 204iter [00:34,  6.31iter/s]
Best score: 0.3380: : 205iter [00:34,  6.32iter/s]
Best score: 0.3380: : 205iter [00:34,  6.32iter/s]
Best score: 0.3380: : 206iter [00:34,  6.33iter/s]
Best score: 0.3380: : 206iter [00:35,  6.33iter/s]
Best score: 0.3380: : 207iter [00:35,  6.34iter/s]
Best score: 0.3380: : 207iter [00:35,  6.34iter/s]
Best score: 0.3380: : 208iter [00:35,  6.34iter/s]
Best score: 0.3380: : 208iter [00:35,  6.34iter/s]
Best score: 0.3380: : 209iter [00:35,  6.34iter/s]
Best score: 0.3377: : 209iter [00:35,  6.34iter/s]
Best score: 0.3377: : 210iter [00:35,  6.14iter/s]
Best score: 0.3377: : 210iter [00:35,  6.14iter/s]
Best score: 0.3377: : 211iter [00:35,  6.20iter/s]
Best score: 0.3377: : 211iter [00:35,  6.20iter/s]
Best score: 0.3377: : 212iter [00:35,  6.24iter/s]
Best score: 0.3377: : 212iter [00:35,  6.24iter/s]
Best score: 0.3377: : 213iter [00:35,  6.30iter/s]
Best score: 0.3377: : 213iter [00:36,  6.30iter/s]
Best score: 0.3377: : 214iter [00:36,  6.32iter/s]
Best score: 0.3377: : 214iter [00:36,  6.32iter/s]
Best score: 0.3377: : 215iter [00:36,  6.33iter/s]
Best score: 0.3377: : 215iter [00:36,  6.33iter/s]
Best score: 0.3377: : 216iter [00:36,  6.34iter/s]
Best score: 0.3377: : 216iter [00:36,  6.34iter/s]
Best score: 0.3377: : 217iter [00:36,  6.34iter/s]
Best score: 0.3377: : 217iter [00:36,  6.34iter/s]
Best score: 0.3377: : 218iter [00:36,  6.35iter/s]
Best score: 0.3377: : 218iter [00:36,  6.35iter/s]
Best score: 0.3377: : 219iter [00:36,  6.36iter/s]
Best score: 0.3347: : 219iter [00:37,  6.36iter/s]
Best score: 0.3347: : 220iter [00:37,  6.16iter/s]
Best score: 0.3347: : 220iter [00:37,  6.16iter/s]
Best score: 0.3347: : 221iter [00:37,  6.22iter/s]
Best score: 0.3347: : 221iter [00:37,  6.22iter/s]
Best score: 0.3347: : 222iter [00:37,  6.26iter/s]
Best score: 0.3347: : 222iter [00:37,  6.26iter/s]
Best score: 0.3347: : 223iter [00:37,  6.30iter/s]
Best score: 0.3347: : 223iter [00:37,  6.30iter/s]
Best score: 0.3347: : 224iter [00:37,  6.33iter/s]
Best score: 0.3347: : 224iter [00:37,  6.33iter/s]
Best score: 0.3347: : 225iter [00:37,  6.34iter/s]
Best score: 0.3347: : 225iter [00:38,  6.34iter/s]
Best score: 0.3347: : 226iter [00:38,  6.35iter/s]
Best score: 0.3347: : 226iter [00:38,  6.35iter/s]
Best score: 0.3347: : 227iter [00:38,  6.35iter/s]
Best score: 0.3347: : 227iter [00:38,  6.35iter/s]
Best score: 0.3347: : 228iter [00:38,  6.36iter/s]
Best score: 0.3347: : 228iter [00:38,  6.36iter/s]
Best score: 0.3347: : 229iter [00:38,  6.36iter/s]
Best score: 0.3231: : 229iter [00:38,  6.36iter/s]
Best score: 0.3231: : 230iter [00:38,  6.17iter/s]
Best score: 0.3231: : 230iter [00:38,  6.17iter/s]
Best score: 0.3231: : 231iter [00:38,  6.24iter/s]
Best score: 0.3231: : 231iter [00:39,  6.24iter/s]
Best score: 0.3231: : 232iter [00:39,  6.28iter/s]
Best score: 0.3231: : 232iter [00:39,  6.28iter/s]
Best score: 0.3231: : 233iter [00:39,  6.31iter/s]
Best score: 0.3231: : 233iter [00:39,  6.31iter/s]
Best score: 0.3231: : 234iter [00:39,  6.33iter/s]
Best score: 0.3231: : 234iter [00:39,  6.33iter/s]
Best score: 0.3231: : 235iter [00:39,  6.33iter/s]
Best score: 0.3231: : 235iter [00:39,  6.33iter/s]
Best score: 0.3231: : 236iter [00:39,  6.34iter/s]
Best score: 0.3231: : 236iter [00:39,  6.34iter/s]
Best score: 0.3231: : 237iter [00:39,  6.35iter/s]
Best score: 0.3231: : 237iter [00:39,  6.35iter/s]
Best score: 0.3231: : 238iter [00:39,  6.36iter/s]
Best score: 0.3231: : 238iter [00:40,  6.36iter/s]
Best score: 0.3231: : 239iter [00:40,  6.36iter/s]
Best score: 0.3189: : 239iter [00:40,  6.36iter/s]
Best score: 0.3189: : 240iter [00:40,  6.18iter/s]
Best score: 0.3189: : 240iter [00:40,  6.18iter/s]
Best score: 0.3189: : 241iter [00:40,  6.23iter/s]
Best score: 0.3189: : 241iter [00:40,  6.23iter/s]
Best score: 0.3189: : 242iter [00:40,  6.28iter/s]
Best score: 0.3189: : 242iter [00:40,  6.28iter/s]
Best score: 0.3189: : 243iter [00:40,  6.31iter/s]
Best score: 0.3189: : 243iter [00:40,  6.31iter/s]
Best score: 0.3189: : 244iter [00:40,  6.33iter/s]
Best score: 0.3189: : 244iter [00:41,  6.33iter/s]
Best score: 0.3189: : 245iter [00:41,  6.34iter/s]
Best score: 0.3189: : 245iter [00:41,  6.34iter/s]
Best score: 0.3189: : 246iter [00:41,  6.36iter/s]
Best score: 0.3189: : 246iter [00:41,  6.36iter/s]
Best score: 0.3189: : 247iter [00:41,  6.37iter/s]
Best score: 0.3189: : 247iter [00:41,  6.37iter/s]
Best score: 0.3189: : 248iter [00:41,  6.37iter/s]
Best score: 0.3189: : 248iter [00:41,  6.37iter/s]
Best score: 0.3189: : 249iter [00:41,  6.37iter/s]
[ITER 250] Best: 0.3178
[PARAMS] Current best parameters:
  fx: 574.5735
  fy: 573.9430
  px: 1011.0635
  py: 722.5212
  k1: -0.04437808
  k2: -0.00460797
  k3: 0.01035530
  k4: -0.00322183
  p1: -0.00999631
  p2: -0.00960850
  p3: 0.00564684
  p4: 0.00184267
  scale: 3.0001
  rotation: -0.2714

Best score: 0.3178: : 249iter [00:41,  6.37iter/s]
Best score: 0.3178: : 250iter [00:41,  6.17iter/s]
Best score: 0.3178: : 250iter [00:42,  6.17iter/s]
Best score: 0.3178: : 251iter [00:42,  6.23iter/s]
Best score: 0.3178: : 251iter [00:42,  6.23iter/s]
Best score: 0.3178: : 252iter [00:42,  6.27iter/s]
Best score: 0.3178: : 252iter [00:42,  6.27iter/s]
Best score: 0.3178: : 253iter [00:42,  6.30iter/s]
Best score: 0.3178: : 253iter [00:42,  6.30iter/s]
Best score: 0.3178: : 254iter [00:42,  6.32iter/s]
Best score: 0.3178: : 254iter [00:42,  6.32iter/s]
Best score: 0.3178: : 255iter [00:42,  6.34iter/s]
Best score: 0.3178: : 255iter [00:42,  6.34iter/s]
Best score: 0.3178: : 256iter [00:42,  6.36iter/s]
Best score: 0.3178: : 256iter [00:42,  6.36iter/s]
Best score: 0.3178: : 257iter [00:42,  6.37iter/s]
Best score: 0.3178: : 257iter [00:43,  6.37iter/s]
Best score: 0.3178: : 258iter [00:43,  6.38iter/s]
Best score: 0.3178: : 258iter [00:43,  6.38iter/s]
Best score: 0.3178: : 259iter [00:43,  6.38iter/s]
Best score: 0.3161: : 259iter [00:43,  6.38iter/s]
Best score: 0.3161: : 260iter [00:43,  6.18iter/s]
Best score: 0.3161: : 260iter [00:43,  6.18iter/s]
Best score: 0.3161: : 261iter [00:43,  6.25iter/s]
Best score: 0.3161: : 261iter [00:43,  6.25iter/s]
Best score: 0.3161: : 262iter [00:43,  6.29iter/s]
Best score: 0.3161: : 262iter [00:43,  6.29iter/s]
Best score: 0.3161: : 263iter [00:43,  6.30iter/s]
Best score: 0.3161: : 263iter [00:44,  6.30iter/s]
Best score: 0.3161: : 264iter [00:44,  6.33iter/s]
Best score: 0.3161: : 264iter [00:44,  6.33iter/s]
Best score: 0.3161: : 265iter [00:44,  6.34iter/s]
Best score: 0.3161: : 265iter [00:44,  6.34iter/s]
Best score: 0.3161: : 266iter [00:44,  6.35iter/s]
Best score: 0.3161: : 266iter [00:44,  6.35iter/s]
Best score: 0.3161: : 267iter [00:44,  6.35iter/s]
Best score: 0.3161: : 267iter [00:44,  6.35iter/s]
Best score: 0.3161: : 268iter [00:44,  6.35iter/s]
Best score: 0.3161: : 268iter [00:44,  6.35iter/s]
Best score: 0.3161: : 269iter [00:44,  6.36iter/s]
Best score: 0.3151: : 269iter [00:45,  6.36iter/s]
Best score: 0.3151: : 270iter [00:45,  6.17iter/s]
Best score: 0.3151: : 270iter [00:45,  6.17iter/s]
Best score: 0.3151: : 271iter [00:45,  6.23iter/s]
Best score: 0.3151: : 271iter [00:45,  6.23iter/s]
Best score: 0.3151: : 272iter [00:45,  6.27iter/s]
Best score: 0.3151: : 272iter [00:45,  6.27iter/s]
Best score: 0.3151: : 273iter [00:45,  6.30iter/s]
Best score: 0.3151: : 273iter [00:45,  6.30iter/s]
Best score: 0.3151: : 274iter [00:45,  6.33iter/s]
Best score: 0.3151: : 274iter [00:45,  6.33iter/s]
Best score: 0.3151: : 275iter [00:45,  6.34iter/s]
Best score: 0.3151: : 275iter [00:45,  6.34iter/s]
Best score: 0.3151: : 276iter [00:45,  6.35iter/s]
Best score: 0.3151: : 276iter [00:46,  6.35iter/s]
Best score: 0.3151: : 277iter [00:46,  6.36iter/s]
Best score: 0.3151: : 277iter [00:46,  6.36iter/s]
Best score: 0.3151: : 278iter [00:46,  6.36iter/s]
Best score: 0.3151: : 278iter [00:46,  6.36iter/s]
Best score: 0.3151: : 279iter [00:46,  6.36iter/s]
Best score: 0.3151: : 279iter [00:46,  6.36iter/s]
Best score: 0.3151: : 280iter [00:46,  6.17iter/s]
Best score: 0.3151: : 280iter [00:46,  6.17iter/s]
Best score: 0.3151: : 281iter [00:46,  6.24iter/s]
Best score: 0.3151: : 281iter [00:46,  6.24iter/s]
Best score: 0.3151: : 282iter [00:46,  6.27iter/s]
Best score: 0.3151: : 282iter [00:47,  6.27iter/s]
Best score: 0.3151: : 283iter [00:47,  6.31iter/s]
Best score: 0.3151: : 283iter [00:47,  6.31iter/s]
Best score: 0.3151: : 284iter [00:47,  6.33iter/s]
Best score: 0.3151: : 284iter [00:47,  6.33iter/s]
Best score: 0.3151: : 285iter [00:47,  6.35iter/s]
Best score: 0.3151: : 285iter [00:47,  6.35iter/s]
Best score: 0.3151: : 286iter [00:47,  6.37iter/s]
Best score: 0.3151: : 286iter [00:47,  6.37iter/s]
Best score: 0.3151: : 287iter [00:47,  6.37iter/s]
Best score: 0.3151: : 287iter [00:47,  6.37iter/s]
Best score: 0.3151: : 288iter [00:47,  6.37iter/s]
Best score: 0.3151: : 288iter [00:48,  6.37iter/s]
Best score: 0.3151: : 289iter [00:48,  6.38iter/s]
Best score: 0.3151: : 289iter [00:48,  6.38iter/s]
Best score: 0.3151: : 290iter [00:48,  6.19iter/s]
Best score: 0.3151: : 290iter [00:48,  6.19iter/s]
Best score: 0.3151: : 291iter [00:48,  6.25iter/s]
Best score: 0.3151: : 291iter [00:48,  6.25iter/s]
Best score: 0.3151: : 292iter [00:48,  6.29iter/s]
Best score: 0.3151: : 292iter [00:48,  6.29iter/s]
Best score: 0.3151: : 293iter [00:48,  6.32iter/s]
Best score: 0.3151: : 293iter [00:48,  6.32iter/s]
Best score: 0.3151: : 294iter [00:48,  6.34iter/s]
Best score: 0.3151: : 294iter [00:48,  6.34iter/s]
Best score: 0.3151: : 295iter [00:48,  6.34iter/s]
Best score: 0.3151: : 295iter [00:49,  6.34iter/s]
Best score: 0.3151: : 296iter [00:49,  6.35iter/s]
Best score: 0.3151: : 296iter [00:49,  6.35iter/s]
Best score: 0.3151: : 297iter [00:49,  6.36iter/s]
Best score: 0.3151: : 297iter [00:49,  6.36iter/s]
Best score: 0.3151: : 298iter [00:49,  6.36iter/s]
Best score: 0.3151: : 298iter [00:49,  6.36iter/s]
Best score: 0.3151: : 299iter [00:49,  6.37iter/s]
[ITER 300] Best: 0.3139
[PARAMS] Current best parameters:
  fx: 569.0363
  fy: 568.5036
  px: 1011.2622
  py: 722.8163
  k1: -0.04180500
  k2: 0.00225235
  k3: 0.00394032
  k4: -0.00143425
  p1: -0.00917104
  p2: -0.00891343
  p3: 0.00531172
  p4: 0.00185889
  scale: 3.0039
  rotation: -0.2517

Best score: 0.3139: : 299iter [00:49,  6.37iter/s]
Best score: 0.3139: : 300iter [00:49,  6.18iter/s]
Best score: 0.3139: : 300iter [00:49,  6.18iter/s]
Best score: 0.3139: : 301iter [00:49,  6.24iter/s]
Best score: 0.3139: : 301iter [00:50,  6.24iter/s]
Best score: 0.3139: : 302iter [00:50,  6.27iter/s]
Best score: 0.3139: : 302iter [00:50,  6.27iter/s]
Best score: 0.3139: : 303iter [00:50,  6.30iter/s]
Best score: 0.3139: : 303iter [00:50,  6.30iter/s]
Best score: 0.3139: : 304iter [00:50,  6.33iter/s]
Best score: 0.3139: : 304iter [00:50,  6.33iter/s]
Best score: 0.3139: : 305iter [00:50,  6.34iter/s]
Best score: 0.3139: : 305iter [00:50,  6.34iter/s]
Best score: 0.3139: : 306iter [00:50,  6.36iter/s]
Best score: 0.3139: : 306iter [00:50,  6.36iter/s]
Best score: 0.3139: : 307iter [00:50,  6.36iter/s]
Best score: 0.3139: : 307iter [00:51,  6.36iter/s]
Best score: 0.3139: : 308iter [00:51,  6.36iter/s]
Best score: 0.3139: : 308iter [00:51,  6.36iter/s]
Best score: 0.3139: : 309iter [00:51,  6.36iter/s]
Best score: 0.3128: : 309iter [00:51,  6.36iter/s]
Best score: 0.3128: : 310iter [00:51,  6.17iter/s]
Best score: 0.3128: : 310iter [00:51,  6.17iter/s]
Best score: 0.3128: : 311iter [00:51,  6.23iter/s]
Best score: 0.3128: : 311iter [00:51,  6.23iter/s]
Best score: 0.3128: : 312iter [00:51,  6.27iter/s]
Best score: 0.3128: : 312iter [00:51,  6.27iter/s]
Best score: 0.3128: : 313iter [00:51,  6.30iter/s]
Best score: 0.3128: : 313iter [00:51,  6.30iter/s]
Best score: 0.3128: : 314iter [00:51,  6.33iter/s]
Best score: 0.3128: : 314iter [00:52,  6.33iter/s]
Best score: 0.3128: : 315iter [00:52,  6.35iter/s]
Best score: 0.3128: : 315iter [00:52,  6.35iter/s]
Best score: 0.3128: : 316iter [00:52,  6.36iter/s]
Best score: 0.3128: : 316iter [00:52,  6.36iter/s]
Best score: 0.3128: : 317iter [00:52,  6.36iter/s]
Best score: 0.3128: : 317iter [00:52,  6.36iter/s]
Best score: 0.3128: : 318iter [00:52,  6.37iter/s]
Best score: 0.3128: : 318iter [00:52,  6.37iter/s]
Best score: 0.3128: : 319iter [00:52,  6.38iter/s]
Best score: 0.3124: : 319iter [00:52,  6.38iter/s]
Best score: 0.3124: : 320iter [00:52,  6.18iter/s]
Best score: 0.3124: : 320iter [00:53,  6.18iter/s]
Best score: 0.3124: : 321iter [00:53,  6.23iter/s]
Best score: 0.3124: : 321iter [00:53,  6.23iter/s]
Best score: 0.3124: : 322iter [00:53,  6.27iter/s]
Best score: 0.3124: : 322iter [00:53,  6.27iter/s]
Best score: 0.3124: : 323iter [00:53,  6.30iter/s]
Best score: 0.3124: : 323iter [00:53,  6.30iter/s]
Best score: 0.3124: : 324iter [00:53,  6.32iter/s]
Best score: 0.3124: : 324iter [00:53,  6.32iter/s]
Best score: 0.3124: : 325iter [00:53,  6.33iter/s]
Best score: 0.3124: : 325iter [00:53,  6.33iter/s]
Best score: 0.3124: : 326iter [00:53,  6.34iter/s]
Best score: 0.3124: : 326iter [00:54,  6.34iter/s]
Best score: 0.3124: : 327iter [00:54,  6.34iter/s]
Best score: 0.3124: : 327iter [00:54,  6.34iter/s]
Best score: 0.3124: : 328iter [00:54,  6.35iter/s]
Best score: 0.3124: : 328iter [00:54,  6.35iter/s]
Best score: 0.3124: : 329iter [00:54,  6.36iter/s]
Best score: 0.3118: : 329iter [00:54,  6.36iter/s]
Best score: 0.3118: : 330iter [00:54,  6.17iter/s]
Best score: 0.3118: : 330iter [00:54,  6.17iter/s]
Best score: 0.3118: : 331iter [00:54,  6.23iter/s]
Best score: 0.3118: : 331iter [00:54,  6.23iter/s]
Best score: 0.3118: : 332iter [00:54,  6.28iter/s]
Best score: 0.3118: : 332iter [00:55,  6.28iter/s]
Best score: 0.3118: : 333iter [00:55,  6.30iter/s]
Best score: 0.3118: : 333iter [00:55,  6.30iter/s]
Best score: 0.3118: : 334iter [00:55,  6.32iter/s]
Best score: 0.3118: : 334iter [00:55,  6.32iter/s]
Best score: 0.3118: : 335iter [00:55,  6.33iter/s]
Best score: 0.3118: : 335iter [00:55,  6.33iter/s]
Best score: 0.3118: : 336iter [00:55,  6.33iter/s]
Best score: 0.3118: : 336iter [00:55,  6.33iter/s]
Best score: 0.3118: : 337iter [00:55,  6.35iter/s]
Best score: 0.3118: : 337iter [00:55,  6.35iter/s]
Best score: 0.3118: : 338iter [00:55,  6.36iter/s]
Best score: 0.3118: : 338iter [00:55,  6.36iter/s]
Best score: 0.3118: : 339iter [00:55,  6.36iter/s]
Best score: 0.3115: : 339iter [00:56,  6.36iter/s]
Best score: 0.3115: : 340iter [00:56,  6.18iter/s]
Best score: 0.3115: : 340iter [00:56,  6.18iter/s]
Best score: 0.3115: : 341iter [00:56,  6.25iter/s]
Best score: 0.3115: : 341iter [00:56,  6.25iter/s]
Best score: 0.3115: : 342iter [00:56,  6.28iter/s]
Best score: 0.3115: : 342iter [00:56,  6.28iter/s]
Best score: 0.3115: : 343iter [00:56,  6.31iter/s]
Best score: 0.3115: : 343iter [00:56,  6.31iter/s]
Best score: 0.3115: : 344iter [00:56,  6.33iter/s]
Best score: 0.3115: : 344iter [00:56,  6.33iter/s]
Best score: 0.3115: : 345iter [00:56,  6.34iter/s]
Best score: 0.3115: : 345iter [00:57,  6.34iter/s]
Best score: 0.3115: : 346iter [00:57,  6.34iter/s]
Best score: 0.3115: : 346iter [00:57,  6.34iter/s]
Best score: 0.3115: : 347iter [00:57,  6.35iter/s]
Best score: 0.3115: : 347iter [00:57,  6.35iter/s]
Best score: 0.3115: : 348iter [00:57,  6.36iter/s]
Best score: 0.3115: : 348iter [00:57,  6.36iter/s]
Best score: 0.3115: : 349iter [00:57,  6.37iter/s]
[ITER 350] Best: 0.3115
[PARAMS] Current best parameters:
  fx: 564.5205
  fy: 564.0605
  px: 1010.8856
  py: 722.4657
  k1: -0.04156828
  k2: 0.01273131
  k3: -0.00493993
  k4: 0.00084558
  p1: -0.00996882
  p2: -0.00972665
  p3: 0.00573108
  p4: 0.00170249
  scale: 3.0057
  rotation: -0.2470

Best score: 0.3115: : 349iter [00:57,  6.37iter/s]
Best score: 0.3115: : 350iter [00:57,  6.19iter/s]
Best score: 0.3115: : 350iter [00:57,  6.19iter/s]
Best score: 0.3115: : 351iter [00:57,  6.24iter/s]
Best score: 0.3115: : 351iter [00:58,  6.24iter/s]
Best score: 0.3115: : 352iter [00:58,  6.28iter/s]
Best score: 0.3115: : 352iter [00:58,  6.28iter/s]
Best score: 0.3115: : 353iter [00:58,  6.30iter/s]
Best score: 0.3115: : 353iter [00:58,  6.30iter/s]
Best score: 0.3115: : 354iter [00:58,  6.32iter/s]
Best score: 0.3115: : 354iter [00:58,  6.32iter/s]
Best score: 0.3115: : 355iter [00:58,  6.34iter/s]
Best score: 0.3115: : 355iter [00:58,  6.34iter/s]
Best score: 0.3115: : 356iter [00:58,  6.36iter/s]
Best score: 0.3115: : 356iter [00:58,  6.36iter/s]
Best score: 0.3115: : 357iter [00:58,  6.36iter/s]
Best score: 0.3115: : 357iter [00:58,  6.36iter/s]
Best score: 0.3115: : 358iter [00:58,  6.37iter/s]
Best score: 0.3115: : 358iter [00:59,  6.37iter/s]
Best score: 0.3115: : 359iter [00:59,  6.37iter/s]
Best score: 0.3111: : 359iter [00:59,  6.37iter/s]
Best score: 0.3111: : 360iter [00:59,  6.17iter/s]
Best score: 0.3111: : 360iter [00:59,  6.17iter/s]
Best score: 0.3111: : 361iter [00:59,  6.23iter/s]
Best score: 0.3111: : 361iter [00:59,  6.23iter/s]
Best score: 0.3111: : 362iter [00:59,  6.27iter/s]
Best score: 0.3111: : 362iter [00:59,  6.27iter/s]
Best score: 0.3111: : 363iter [00:59,  6.24iter/s]
Best score: 0.3111: : 363iter [00:59,  6.24iter/s]
Best score: 0.3111: : 364iter [00:59,  6.28iter/s]
Best score: 0.3111: : 364iter [01:00,  6.28iter/s]
Best score: 0.3111: : 365iter [01:00,  6.31iter/s]
Best score: 0.3111: : 365iter [01:00,  6.31iter/s]
Best score: 0.3111: : 366iter [01:00,  6.33iter/s]
Best score: 0.3111: : 366iter [01:00,  6.33iter/s]
Best score: 0.3111: : 367iter [01:00,  6.34iter/s]
Best score: 0.3111: : 367iter [01:00,  6.34iter/s]
Best score: 0.3111: : 368iter [01:00,  6.35iter/s]
Best score: 0.3111: : 368iter [01:00,  6.35iter/s]
Best score: 0.3111: : 369iter [01:00,  6.34iter/s]
Best score: 0.3110: : 369iter [01:00,  6.34iter/s]
Best score: 0.3110: : 370iter [01:00,  6.16iter/s]
Best score: 0.3110: : 370iter [01:01,  6.16iter/s]
Best score: 0.3110: : 371iter [01:01,  6.23iter/s]
Best score: 0.3110: : 371iter [01:01,  6.23iter/s]
Best score: 0.3110: : 372iter [01:01,  6.29iter/s]
Best score: 0.3110: : 372iter [01:01,  6.29iter/s]
Best score: 0.3110: : 373iter [01:01,  6.30iter/s]
Best score: 0.3110: : 373iter [01:01,  6.30iter/s]
Best score: 0.3110: : 374iter [01:01,  6.33iter/s]
Best score: 0.3110: : 374iter [01:01,  6.33iter/s]
Best score: 0.3110: : 375iter [01:01,  6.35iter/s]
Best score: 0.3110: : 375iter [01:01,  6.35iter/s]
Best score: 0.3110: : 376iter [01:01,  6.35iter/s]
Best score: 0.3110: : 376iter [01:01,  6.35iter/s]
Best score: 0.3110: : 377iter [01:01,  6.35iter/s]
Best score: 0.3110: : 377iter [01:02,  6.35iter/s]
Best score: 0.3110: : 378iter [01:02,  6.36iter/s]
Best score: 0.3110: : 378iter [01:02,  6.36iter/s]
Best score: 0.3110: : 379iter [01:02,  6.36iter/s]
Best score: 0.3110: : 379iter [01:02,  6.36iter/s]
Best score: 0.3110: : 380iter [01:02,  6.14iter/s]
Best score: 0.3110: : 380iter [01:02,  6.14iter/s]
Best score: 0.3110: : 381iter [01:02,  6.21iter/s]
Best score: 0.3110: : 381iter [01:02,  6.21iter/s]
Best score: 0.3110: : 382iter [01:02,  6.26iter/s]
Best score: 0.3110: : 382iter [01:02,  6.26iter/s]
Best score: 0.3110: : 383iter [01:02,  6.28iter/s]
Best score: 0.3110: : 383iter [01:03,  6.28iter/s]
Best score: 0.3110: : 384iter [01:03,  6.31iter/s]
Best score: 0.3110: : 384iter [01:03,  6.31iter/s]
Best score: 0.3110: : 385iter [01:03,  6.32iter/s]
Best score: 0.3110: : 385iter [01:03,  6.32iter/s]
Best score: 0.3110: : 386iter [01:03,  6.34iter/s]
Best score: 0.3110: : 386iter [01:03,  6.34iter/s]
Best score: 0.3110: : 387iter [01:03,  6.35iter/s]
Best score: 0.3110: : 387iter [01:03,  6.35iter/s]
Best score: 0.3110: : 388iter [01:03,  6.36iter/s]
Best score: 0.3110: : 388iter [01:03,  6.36iter/s]
Best score: 0.3110: : 389iter [01:03,  6.36iter/s]
Best score: 0.3105: : 389iter [01:04,  6.36iter/s]
Best score: 0.3105: : 390iter [01:04,  6.17iter/s]
Best score: 0.3105: : 390iter [01:04,  6.17iter/s]
Best score: 0.3105: : 391iter [01:04,  6.22iter/s]
Best score: 0.3105: : 391iter [01:04,  6.22iter/s]
Best score: 0.3105: : 392iter [01:04,  6.25iter/s]
Best score: 0.3105: : 392iter [01:04,  6.25iter/s]
Best score: 0.3105: : 393iter [01:04,  6.28iter/s]
Best score: 0.3105: : 393iter [01:04,  6.28iter/s]
Best score: 0.3105: : 394iter [01:04,  6.31iter/s]
Best score: 0.3105: : 394iter [01:04,  6.31iter/s]
Best score: 0.3105: : 395iter [01:04,  6.32iter/s]
Best score: 0.3105: : 395iter [01:05,  6.32iter/s]
Best score: 0.3105: : 396iter [01:05,  6.34iter/s]
Best score: 0.3105: : 396iter [01:05,  6.34iter/s]
Best score: 0.3105: : 397iter [01:05,  6.35iter/s]
Best score: 0.3105: : 397iter [01:05,  6.35iter/s]
Best score: 0.3105: : 398iter [01:05,  6.36iter/s]
Best score: 0.3105: : 398iter [01:05,  6.36iter/s]
Best score: 0.3105: : 399iter [01:05,  6.35iter/s]
[ITER 400] Best: 0.3096
[PARAMS] Current best parameters:
  fx: 563.7968
  fy: 563.2971
  px: 1010.8053
  py: 722.4628
  k1: -0.04374735
  k2: 0.01780697
  k3: -0.00833594
  k4: 0.00163588
  p1: -0.00989374
  p2: -0.00992138
  p3: 0.00582456
  p4: 0.00165031
  scale: 3.0091
  rotation: -0.2511

Best score: 0.3096: : 399iter [01:05,  6.35iter/s]
Best score: 0.3096: : 400iter [01:05,  6.17iter/s]
Best score: 0.3096: : 400iter [01:05,  6.17iter/s]
Best score: 0.3096: : 401iter [01:05,  6.22iter/s]
Best score: 0.3096: : 401iter [01:05,  6.22iter/s]
Best score: 0.3096: : 402iter [01:05,  6.27iter/s]
Best score: 0.3096: : 402iter [01:06,  6.27iter/s]
Best score: 0.3096: : 403iter [01:06,  6.29iter/s]
Best score: 0.3096: : 403iter [01:06,  6.29iter/s]
Best score: 0.3096: : 404iter [01:06,  6.32iter/s]
Best score: 0.3096: : 404iter [01:06,  6.32iter/s]
Best score: 0.3096: : 405iter [01:06,  6.33iter/s]
Best score: 0.3096: : 405iter [01:06,  6.33iter/s]
Best score: 0.3096: : 406iter [01:06,  6.34iter/s]
Best score: 0.3096: : 406iter [01:06,  6.34iter/s]
Best score: 0.3096: : 407iter [01:06,  6.35iter/s]
Best score: 0.3096: : 407iter [01:06,  6.35iter/s]
Best score: 0.3096: : 408iter [01:06,  6.37iter/s]
Best score: 0.3096: : 408iter [01:07,  6.37iter/s]
Best score: 0.3096: : 409iter [01:07,  6.37iter/s]
Best score: 0.3096: : 409iter [01:07,  6.37iter/s]
Best score: 0.3096: : 410iter [01:07,  6.17iter/s]
Best score: 0.3096: : 410iter [01:07,  6.17iter/s]
Best score: 0.3096: : 411iter [01:07,  6.23iter/s]
Best score: 0.3096: : 411iter [01:07,  6.23iter/s]
Best score: 0.3096: : 412iter [01:07,  6.27iter/s]
Best score: 0.3096: : 412iter [01:07,  6.27iter/s]
Best score: 0.3096: : 413iter [01:07,  6.30iter/s]
Best score: 0.3096: : 413iter [01:07,  6.30iter/s]
Best score: 0.3096: : 414iter [01:07,  6.31iter/s]
Best score: 0.3096: : 414iter [01:08,  6.31iter/s]
Best score: 0.3096: : 415iter [01:08,  6.33iter/s]
Best score: 0.3096: : 415iter [01:08,  6.33iter/s]
Best score: 0.3096: : 416iter [01:08,  6.34iter/s]
Best score: 0.3096: : 416iter [01:08,  6.34iter/s]
Best score: 0.3096: : 417iter [01:08,  6.34iter/s]
Best score: 0.3096: : 417iter [01:08,  6.34iter/s]
Best score: 0.3096: : 418iter [01:08,  6.34iter/s]
Best score: 0.3096: : 418iter [01:08,  6.34iter/s]
Best score: 0.3096: : 419iter [01:08,  6.35iter/s]
Best score: 0.3095: : 419iter [01:08,  6.35iter/s]
Best score: 0.3095: : 420iter [01:08,  6.15iter/s]
Best score: 0.3095: : 420iter [01:08,  6.15iter/s]
Best score: 0.3095: : 421iter [01:08,  6.21iter/s]
Best score: 0.3095: : 421iter [01:09,  6.21iter/s]
Best score: 0.3095: : 422iter [01:09,  6.25iter/s]
Best score: 0.3095: : 422iter [01:09,  6.25iter/s]
Best score: 0.3095: : 423iter [01:09,  6.28iter/s]
Best score: 0.3095: : 423iter [01:09,  6.28iter/s]
Best score: 0.3095: : 424iter [01:09,  6.31iter/s]
Best score: 0.3095: : 424iter [01:09,  6.31iter/s]
Best score: 0.3095: : 425iter [01:09,  6.32iter/s]
Best score: 0.3095: : 425iter [01:09,  6.32iter/s]
Best score: 0.3095: : 426iter [01:09,  6.33iter/s]
Best score: 0.3095: : 426iter [01:09,  6.33iter/s]
Best score: 0.3095: : 427iter [01:09,  6.34iter/s]
Best score: 0.3095: : 427iter [01:10,  6.34iter/s]
Best score: 0.3095: : 428iter [01:10,  6.31iter/s]
Best score: 0.3095: : 428iter [01:10,  6.31iter/s]
Best score: 0.3095: : 429iter [01:10,  6.34iter/s]
Best score: 0.3093: : 429iter [01:10,  6.34iter/s]
Best score: 0.3093: : 430iter [01:10,  6.15iter/s]
Best score: 0.3093: : 430iter [01:10,  6.15iter/s]
Best score: 0.3093: : 431iter [01:10,  6.21iter/s]
Best score: 0.3093: : 431iter [01:10,  6.21iter/s]
Best score: 0.3093: : 432iter [01:10,  6.26iter/s]
Best score: 0.3093: : 432iter [01:10,  6.26iter/s]
Best score: 0.3093: : 433iter [01:10,  6.29iter/s]
Best score: 0.3093: : 433iter [01:11,  6.29iter/s]
Best score: 0.3093: : 434iter [01:11,  6.31iter/s]
Best score: 0.3093: : 434iter [01:11,  6.31iter/s]
Best score: 0.3093: : 435iter [01:11,  6.33iter/s]
Best score: 0.3093: : 435iter [01:11,  6.33iter/s]
Best score: 0.3093: : 436iter [01:11,  6.35iter/s]
Best score: 0.3093: : 436iter [01:11,  6.35iter/s]
Best score: 0.3093: : 437iter [01:11,  6.35iter/s]
Best score: 0.3093: : 437iter [01:11,  6.35iter/s]
Best score: 0.3093: : 438iter [01:11,  6.36iter/s]
Best score: 0.3093: : 438iter [01:11,  6.36iter/s]
Best score: 0.3093: : 439iter [01:11,  6.36iter/s]
Best score: 0.3093: : 439iter [01:12,  6.36iter/s]
Best score: 0.3093: : 440iter [01:12,  6.15iter/s]
Best score: 0.3093: : 440iter [01:12,  6.15iter/s]
Best score: 0.3093: : 441iter [01:12,  6.20iter/s]
Best score: 0.3093: : 441iter [01:12,  6.20iter/s]
Best score: 0.3093: : 442iter [01:12,  6.25iter/s]
Best score: 0.3093: : 442iter [01:12,  6.25iter/s]
Best score: 0.3093: : 443iter [01:12,  6.25iter/s]
Best score: 0.3093: : 443iter [01:12,  6.25iter/s]
Best score: 0.3093: : 444iter [01:12,  6.28iter/s]
Best score: 0.3093: : 444iter [01:12,  6.28iter/s]
Best score: 0.3093: : 445iter [01:12,  6.32iter/s]
Best score: 0.3093: : 445iter [01:12,  6.32iter/s]
Best score: 0.3093: : 446iter [01:12,  6.33iter/s]
Best score: 0.3093: : 446iter [01:13,  6.33iter/s]
Best score: 0.3093: : 447iter [01:13,  6.36iter/s]
Best score: 0.3093: : 447iter [01:13,  6.36iter/s]
Best score: 0.3093: : 448iter [01:13,  6.37iter/s]
Best score: 0.3093: : 448iter [01:13,  6.37iter/s]
Best score: 0.3093: : 449iter [01:13,  6.37iter/s]
[ITER 450] Best: 0.3090
[PARAMS] Current best parameters:
  fx: 557.9861
  fy: 557.5254
  px: 1010.7279
  py: 722.3870
  k1: -0.04144526
  k2: 0.02480678
  k3: -0.01396204
  k4: 0.00299206
  p1: -0.00998063
  p2: -0.00998852
  p3: 0.00590435
  p4: 0.00158497
  scale: 3.0141
  rotation: -0.2499

Best score: 0.3090: : 449iter [01:13,  6.37iter/s]
Best score: 0.3090: : 450iter [01:13,  6.17iter/s]
Best score: 0.3090: : 450iter [01:13,  6.17iter/s]
Best score: 0.3090: : 451iter [01:13,  6.23iter/s]
Best score: 0.3090: : 451iter [01:13,  6.23iter/s]
Best score: 0.3090: : 452iter [01:13,  6.27iter/s]
Best score: 0.3090: : 452iter [01:14,  6.27iter/s]
Best score: 0.3090: : 453iter [01:14,  6.31iter/s]
Best score: 0.3090: : 453iter [01:14,  6.31iter/s]
Best score: 0.3090: : 454iter [01:14,  6.34iter/s]
Best score: 0.3090: : 454iter [01:14,  6.34iter/s]
Best score: 0.3090: : 455iter [01:14,  6.35iter/s]
Best score: 0.3090: : 455iter [01:14,  6.35iter/s]
Best score: 0.3090: : 456iter [01:14,  6.37iter/s]
Best score: 0.3090: : 456iter [01:14,  6.37iter/s]
Best score: 0.3090: : 457iter [01:14,  6.37iter/s]
Best score: 0.3090: : 457iter [01:14,  6.37iter/s]
Best score: 0.3090: : 458iter [01:14,  6.38iter/s]
Best score: 0.3090: : 458iter [01:15,  6.38iter/s]
Best score: 0.3090: : 459iter [01:15,  6.37iter/s]
Best score: 0.3090: : 459iter [01:15,  6.37iter/s]
Best score: 0.3090: : 460iter [01:15,  6.18iter/s]
Best score: 0.3090: : 460iter [01:15,  6.18iter/s]
Best score: 0.3090: : 461iter [01:15,  6.24iter/s]
Best score: 0.3090: : 461iter [01:15,  6.24iter/s]
Best score: 0.3090: : 462iter [01:15,  6.28iter/s]
Best score: 0.3090: : 462iter [01:15,  6.28iter/s]
Best score: 0.3090: : 463iter [01:15,  6.30iter/s]
Best score: 0.3090: : 463iter [01:15,  6.30iter/s]
Best score: 0.3090: : 464iter [01:15,  6.31iter/s]
Best score: 0.3090: : 464iter [01:15,  6.31iter/s]
Best score: 0.3090: : 465iter [01:15,  6.32iter/s]
Best score: 0.3090: : 465iter [01:16,  6.32iter/s]
Best score: 0.3090: : 466iter [01:16,  6.35iter/s]
Best score: 0.3090: : 466iter [01:16,  6.35iter/s]
Best score: 0.3090: : 467iter [01:16,  6.36iter/s]
Best score: 0.3090: : 467iter [01:16,  6.36iter/s]
Best score: 0.3090: : 468iter [01:16,  6.37iter/s]
Best score: 0.3090: : 468iter [01:16,  6.37iter/s]
Best score: 0.3090: : 469iter [01:16,  6.38iter/s]
Best score: 0.3090: : 469iter [01:16,  6.38iter/s]
Best score: 0.3090: : 470iter [01:16,  6.19iter/s]
Best score: 0.3090: : 470iter [01:16,  6.19iter/s]
Best score: 0.3090: : 471iter [01:16,  6.26iter/s]
Best score: 0.3090: : 471iter [01:17,  6.26iter/s]
Best score: 0.3090: : 472iter [01:17,  6.29iter/s]
Best score: 0.3090: : 472iter [01:17,  6.29iter/s]
Best score: 0.3090: : 473iter [01:17,  6.33iter/s]
Best score: 0.3090: : 473iter [01:17,  6.33iter/s]
Best score: 0.3090: : 474iter [01:17,  6.34iter/s]
Best score: 0.3090: : 474iter [01:17,  6.34iter/s]
Best score: 0.3090: : 475iter [01:17,  6.35iter/s]
Best score: 0.3090: : 475iter [01:17,  6.35iter/s]
Best score: 0.3090: : 476iter [01:17,  6.36iter/s]
Best score: 0.3090: : 476iter [01:17,  6.36iter/s]
Best score: 0.3090: : 477iter [01:17,  6.37iter/s]
Best score: 0.3090: : 477iter [01:18,  6.37iter/s]
Best score: 0.3090: : 478iter [01:18,  6.38iter/s]
Best score: 0.3090: : 478iter [01:18,  6.38iter/s]
Best score: 0.3090: : 479iter [01:18,  6.38iter/s]
Best score: 0.3090: : 479iter [01:18,  6.38iter/s]
Best score: 0.3090: : 480iter [01:18,  6.19iter/s]
Best score: 0.3090: : 480iter [01:18,  6.19iter/s]
Best score: 0.3090: : 481iter [01:18,  6.25iter/s]
Best score: 0.3090: : 481iter [01:18,  6.25iter/s]
Best score: 0.3090: : 482iter [01:18,  6.29iter/s]
Best score: 0.3090: : 482iter [01:18,  6.29iter/s]
Best score: 0.3090: : 483iter [01:18,  6.31iter/s]
Best score: 0.3090: : 483iter [01:18,  6.31iter/s]
Best score: 0.3090: : 484iter [01:18,  6.34iter/s]
Best score: 0.3090: : 484iter [01:19,  6.34iter/s]
Best score: 0.3090: : 485iter [01:19,  6.36iter/s]
Best score: 0.3090: : 485iter [01:19,  6.36iter/s]
Best score: 0.3090: : 486iter [01:19,  6.37iter/s]
Best score: 0.3090: : 486iter [01:19,  6.37iter/s]
Best score: 0.3090: : 487iter [01:19,  6.37iter/s]
Best score: 0.3090: : 487iter [01:19,  6.37iter/s]
Best score: 0.3090: : 488iter [01:19,  6.37iter/s]
Best score: 0.3090: : 488iter [01:19,  6.37iter/s]
Best score: 0.3090: : 489iter [01:19,  6.37iter/s]
Best score: 0.3090: : 489iter [01:19,  6.37iter/s]
Best score: 0.3090: : 490iter [01:19,  6.17iter/s]
Best score: 0.3090: : 490iter [01:20,  6.17iter/s]
Best score: 0.3090: : 491iter [01:20,  6.24iter/s]
Best score: 0.3090: : 491iter [01:20,  6.24iter/s]
Best score: 0.3090: : 492iter [01:20,  6.28iter/s]
Best score: 0.3090: : 492iter [01:20,  6.28iter/s]
Best score: 0.3090: : 493iter [01:20,  6.31iter/s]
Best score: 0.3090: : 493iter [01:20,  6.31iter/s]
Best score: 0.3090: : 494iter [01:20,  6.34iter/s]
Best score: 0.3090: : 494iter [01:20,  6.34iter/s]
Best score: 0.3090: : 495iter [01:20,  6.35iter/s]
Best score: 0.3090: : 495iter [01:20,  6.35iter/s]
Best score: 0.3090: : 496iter [01:20,  6.36iter/s]
Best score: 0.3090: : 496iter [01:21,  6.36iter/s]
Best score: 0.3090: : 497iter [01:21,  6.37iter/s]
Best score: 0.3090: : 497iter [01:21,  6.37iter/s]
Best score: 0.3090: : 498iter [01:21,  6.38iter/s]
Best score: 0.3090: : 498iter [01:21,  6.38iter/s]
Best score: 0.3090: : 499iter [01:21,  6.37iter/s]
[ITER 500] Best: 0.3090
[PARAMS] Current best parameters:
  fx: 558.4980
  fy: 558.0171
  px: 1010.7356
  py: 722.4012
  k1: -0.03994480
  k2: 0.02091101
  k3: -0.01109101
  k4: 0.00226951
  p1: -0.00994815
  p2: -0.00999668
  p3: 0.00578199
  p4: 0.00160527
  scale: 3.0121
  rotation: -0.2480

Best score: 0.3090: : 499iter [01:21,  6.37iter/s]
Best score: 0.3090: : 500iter [01:21,  6.17iter/s]
Best score: 0.3090: : 500iter [01:21,  6.13iter/s]

[📈] Running L-BFGS-B polish after 500 DE iterations...
  Polish improved score: 0.308963 -> 0.308961
  Success: True
  Tangential distortion: p1=-0.009948, p2=-0.009997, p3=0.005782, p4=0.001605
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.3090
[✅] Parameters copied to: /working/MDC048_W021(6)_2025-11-19/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


-------------------------------------------------------------------
                        Step 3: Undistortion                       
-------------------------------------------------------------------


[DEBUG] Parameters being applied to PTD conversion:
    fx: 558.4980430706601
    fy: 558.0171183724228
    px: 1010.7355752215033
    py: 722.4012192027127
    k1: -0.03994443353820996
    k2: 0.02091099605435194
    k3: -0.011091067610792356
    k4: 0.0022693885640236895
    p1: -0.00994805273368783
    p2: -0.009996551947447956
    p3: 0.0057820374080153275
    p4: 0.001605329493134677
    scale: 3.0121229771201805
    rotation: -0.24800252271643397
    mmpp: 3.443704641179719
    nmpp: 3443704.641179719

[🔄] Converting 720 frames to PTD, creating debug images for 400 calibration frames...

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📁 Rigs: 100%|██████████| 4/4 [00:07<00:00,  1.78s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:07<00:00,  1.76s/rig]
[✅] Saved PTDs: /working/MDC048_W021(6)_2025-11-19/calibration/debug/3_undistorted/output/ptd

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[✅] Saved PTDs: /working/MDC048_W021(6)_2025-11-19/calibration/debug/3_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:  91%|█████████ | 2794907/3080448 [00:03<00:00, 912477.28px/s]
📤 Writing LUT:  94%|█████████▎| 2886935/3080448 [00:03<00:00, 914811.84px/s]
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📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 898213.59px/s]
[✅] LUT written to: /working/MDC048_W021(6)_2025-11-19/calibration/debug/3_undistorted/output/LUT.lut
[WARN] Folder name 'MDC048_W021(6)_2025-11-19' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC048_W021(6)_2025-11-19/calibration/MDC048_W021(6)_2025-11-19_unknown.lut

-------------------------------------------------------------------
                          Step 4: Heatmap                          
-------------------------------------------------------------------


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                                                                 [✅] 1000: /working/MDC048_W021(6)_2025-11-19/calibration/debug/4_heatmap/1000_heatmap.png

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                                                                 [✅] 1500: /working/MDC048_W021(6)_2025-11-19/calibration/debug/4_heatmap/1500_heatmap.png

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   🔥 2000L:  94%|█████████▎| 191/204 [00:01<00:00, 174.64frame/s]

                                                                  [✅] 2000L: /working/MDC048_W021(6)_2025-11-19/calibration/debug/4_heatmap/2000L_heatmap.png

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   🔥 2000R:  68%|██████▊   | 118/174 [00:00<00:00, 194.54frame/s]

   🔥 2000R:  79%|███████▉  | 138/174 [00:00<00:00, 186.76frame/s]

   🔥 2000R:  90%|█████████ | 157/174 [00:00<00:00, 176.66frame/s]

                                                                  [✅] 2000R: /working/MDC048_W021(6)_2025-11-19/calibration/debug/4_heatmap/2000R_heatmap.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:05<00:00,  1.45s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:05<00:00,  1.44s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] Heatmaps saved to: /working/MDC048_W021(6)_2025-11-19/calibration/debug/4_heatmap
[🏁] Finished processing MDC048_W021(6)_2025-11-19


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