🟢 Starting Calibration Pipeline

=== Processing MDC027_W031_2025-03-24 ===

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                        Step 1: Digitization                       
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[🔄] Full PTD mode: Processing ALL images then creating calibration subset
[📸] Digitizing ALL images...
[📸] Full dataset mode: Processing ALL images (no debug visualizations)
[INFO] Found 2 las0.zip files to process

Processing Rigs:   0%|          | 0/2 [00:00<?, ?it/s][INFO] Filtered 167 stationary frames, 333 remain


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→ 500 Phase 2: corners:  39%|███▊      | 129/333 [02:30<03:58,  1.17s/it]

→ 500 Phase 2: corners:  39%|███▉      | 130/333 [02:31<03:55,  1.16s/it]

→ 500 Phase 2: corners:  39%|███▉      | 131/333 [02:32<03:57,  1.18s/it]

→ 500 Phase 2: corners:  40%|███▉      | 132/333 [02:34<03:53,  1.16s/it]

→ 500 Phase 2: corners:  40%|███▉      | 133/333 [02:35<03:49,  1.15s/it]

→ 500 Phase 2: corners:  40%|████      | 134/333 [02:36<03:49,  1.15s/it]

→ 500 Phase 2: corners:  41%|████      | 135/333 [02:37<04:02,  1.23s/it]

→ 500 Phase 2: corners:  41%|████      | 136/333 [02:39<04:18,  1.31s/it]

→ 500 Phase 2: corners:  41%|████      | 137/333 [02:40<04:35,  1.41s/it]

→ 500 Phase 2: corners:  41%|████▏     | 138/333 [02:42<04:49,  1.49s/it]

→ 500 Phase 2: corners:  42%|████▏     | 139/333 [02:44<04:52,  1.51s/it]

→ 500 Phase 2: corners:  42%|████▏     | 140/333 [02:45<04:52,  1.51s/it]

→ 500 Phase 2: corners:  42%|████▏     | 141/333 [02:46<04:33,  1.42s/it]

→ 500 Phase 2: corners:  43%|████▎     | 142/333 [02:48<04:15,  1.34s/it]

→ 500 Phase 2: corners:  43%|████▎     | 143/333 [02:49<04:03,  1.28s/it]

→ 500 Phase 2: corners:  43%|████▎     | 144/333 [02:50<03:57,  1.26s/it]

→ 500 Phase 2: corners:  44%|████▎     | 145/333 [02:51<03:51,  1.23s/it]

→ 500 Phase 2: corners:  44%|████▍     | 146/333 [02:52<03:43,  1.19s/it]

→ 500 Phase 2: corners:  44%|████▍     | 147/333 [02:53<03:41,  1.19s/it]

→ 500 Phase 2: corners:  44%|████▍     | 148/333 [02:54<03:39,  1.18s/it]

→ 500 Phase 2: corners:  45%|████▍     | 149/333 [02:56<03:36,  1.18s/it]

→ 500 Phase 2: corners:  45%|████▌     | 150/333 [02:57<03:33,  1.17s/it]

→ 500 Phase 2: corners:  45%|████▌     | 151/333 [02:58<03:29,  1.15s/it]

→ 500 Phase 2: corners:  46%|████▌     | 152/333 [02:59<03:31,  1.17s/it]

→ 500 Phase 2: corners:  46%|████▌     | 153/333 [03:00<03:24,  1.14s/it]

→ 500 Phase 2: corners:  46%|████▌     | 154/333 [03:02<03:34,  1.20s/it]

→ 500 Phase 2: corners:  47%|████▋     | 155/333 [03:03<03:29,  1.18s/it]

→ 500 Phase 2: corners:  47%|████▋     | 156/333 [03:04<03:23,  1.15s/it]

→ 500 Phase 2: corners:  47%|████▋     | 157/333 [03:05<03:21,  1.15s/it]

→ 500 Phase 2: corners:  47%|████▋     | 158/333 [03:06<03:17,  1.13s/it]

→ 500 Phase 2: corners:  48%|████▊     | 159/333 [03:07<03:16,  1.13s/it]

→ 500 Phase 2: corners:  48%|████▊     | 160/333 [03:08<03:13,  1.12s/it]

→ 500 Phase 2: corners:  48%|████▊     | 161/333 [03:09<03:06,  1.08s/it]

→ 500 Phase 2: corners:  49%|████▊     | 162/333 [03:10<03:04,  1.08s/it]

→ 500 Phase 2: corners:  49%|████▉     | 163/333 [03:11<03:01,  1.07s/it]

→ 500 Phase 2: corners:  49%|████▉     | 164/333 [03:12<03:00,  1.07s/it]

→ 500 Phase 2: corners:  50%|████▉     | 165/333 [03:13<03:00,  1.07s/it]

→ 500 Phase 2: corners:  50%|████▉     | 166/333 [03:15<03:00,  1.08s/it]

→ 500 Phase 2: corners:  50%|█████     | 167/333 [03:16<02:56,  1.06s/it]

→ 500 Phase 2: corners:  50%|█████     | 168/333 [03:17<02:55,  1.07s/it]

→ 500 Phase 2: corners:  51%|█████     | 169/333 [03:18<02:55,  1.07s/it]

→ 500 Phase 2: corners:  51%|█████     | 170/333 [03:19<02:52,  1.06s/it]

→ 500 Phase 2: corners:  51%|█████▏    | 171/333 [03:20<02:48,  1.04s/it]

→ 500 Phase 2: corners:  52%|█████▏    | 172/333 [03:21<02:47,  1.04s/it]

→ 500 Phase 2: corners:  52%|█████▏    | 174/333 [03:22<02:07,  1.25it/s]

→ 500 Phase 2: corners:  53%|█████▎    | 175/333 [03:23<02:14,  1.17it/s]

→ 500 Phase 2: corners:  53%|█████▎    | 176/333 [03:24<02:22,  1.10it/s]

→ 500 Phase 2: corners:  53%|█████▎    | 177/333 [03:25<02:26,  1.06it/s]

→ 500 Phase 2: corners:  53%|█████▎    | 178/333 [03:26<02:29,  1.04it/s]

→ 500 Phase 2: corners:  54%|█████▍    | 179/333 [03:27<02:30,  1.02it/s]

→ 500 Phase 2: corners:  54%|█████▍    | 180/333 [03:28<02:32,  1.01it/s]

→ 500 Phase 2: corners:  54%|█████▍    | 181/333 [03:29<02:31,  1.01it/s]

→ 500 Phase 2: corners:  55%|█████▍    | 182/333 [03:30<02:33,  1.02s/it]

→ 500 Phase 2: corners:  55%|█████▍    | 183/333 [03:31<02:34,  1.03s/it]

→ 500 Phase 2: corners:  55%|█████▌    | 184/333 [03:32<02:32,  1.02s/it]

→ 500 Phase 2: corners:  56%|█████▌    | 185/333 [03:33<02:33,  1.04s/it]

→ 500 Phase 2: corners:  56%|█████▌    | 186/333 [03:34<02:31,  1.03s/it]

→ 500 Phase 2: corners:  56%|█████▌    | 187/333 [03:35<02:29,  1.03s/it]

→ 500 Phase 2: corners:  56%|█████▋    | 188/333 [03:36<02:27,  1.02s/it]

→ 500 Phase 2: corners:  57%|█████▋    | 189/333 [03:37<02:27,  1.02s/it]

→ 500 Phase 2: corners:  57%|█████▋    | 190/333 [03:38<02:26,  1.02s/it]

→ 500 Phase 2: corners:  57%|█████▋    | 191/333 [03:39<02:25,  1.03s/it]

→ 500 Phase 2: corners:  58%|█████▊    | 192/333 [03:40<02:26,  1.04s/it]

→ 500 Phase 2: corners:  58%|█████▊    | 193/333 [03:41<02:25,  1.04s/it]

→ 500 Phase 2: corners:  58%|█████▊    | 194/333 [03:42<02:25,  1.04s/it]

→ 500 Phase 2: corners:  59%|█████▊    | 195/333 [03:44<02:24,  1.05s/it]

→ 500 Phase 2: corners:  59%|█████▉    | 196/333 [03:45<02:25,  1.06s/it]

→ 500 Phase 2: corners:  59%|█████▉    | 197/333 [03:46<02:26,  1.08s/it]

→ 500 Phase 2: corners:  59%|█████▉    | 198/333 [03:47<02:25,  1.08s/it]

→ 500 Phase 2: corners:  60%|█████▉    | 199/333 [03:48<02:25,  1.09s/it]

→ 500 Phase 2: corners:  60%|██████    | 200/333 [03:49<02:25,  1.09s/it]

→ 500 Phase 2: corners:  60%|██████    | 201/333 [03:50<02:23,  1.09s/it]

→ 500 Phase 2: corners:  61%|██████    | 202/333 [03:51<02:23,  1.10s/it]

→ 500 Phase 2: corners:  61%|██████    | 203/333 [03:52<02:23,  1.11s/it]

→ 500 Phase 2: corners:  61%|██████▏   | 204/333 [03:53<02:22,  1.10s/it]

→ 500 Phase 2: corners:  62%|██████▏   | 205/333 [03:55<02:25,  1.13s/it]

→ 500 Phase 2: corners:  62%|██████▏   | 206/333 [03:56<02:24,  1.13s/it]

→ 500 Phase 2: corners:  62%|██████▏   | 207/333 [03:57<02:24,  1.15s/it]

→ 500 Phase 2: corners:  62%|██████▏   | 208/333 [03:58<02:22,  1.14s/it]

→ 500 Phase 2: corners:  63%|██████▎   | 209/333 [03:59<02:27,  1.19s/it]

→ 500 Phase 2: corners:  63%|██████▎   | 210/333 [04:01<02:24,  1.18s/it]

→ 500 Phase 2: corners:  63%|██████▎   | 211/333 [04:02<02:27,  1.21s/it]

→ 500 Phase 2: corners:  64%|██████▎   | 212/333 [04:03<02:31,  1.25s/it]

→ 500 Phase 2: corners:  64%|██████▍   | 213/333 [04:04<02:29,  1.25s/it]

→ 500 Phase 2: corners:  64%|██████▍   | 214/333 [04:06<02:24,  1.21s/it]

→ 500 Phase 2: corners:  65%|██████▍   | 215/333 [04:07<02:25,  1.24s/it]

→ 500 Phase 2: corners:  65%|██████▍   | 216/333 [04:08<02:21,  1.21s/it]

→ 500 Phase 2: corners:  65%|██████▌   | 217/333 [04:09<02:27,  1.27s/it]

→ 500 Phase 2: corners:  65%|██████▌   | 218/333 [04:11<02:28,  1.29s/it]

→ 500 Phase 2: corners:  66%|██████▌   | 219/333 [04:12<02:28,  1.30s/it]

→ 500 Phase 2: corners:  66%|██████▌   | 220/333 [04:13<02:27,  1.31s/it]

→ 500 Phase 2: corners:  66%|██████▋   | 221/333 [04:15<02:27,  1.32s/it]

→ 500 Phase 2: corners:  67%|██████▋   | 222/333 [04:16<02:28,  1.33s/it]

→ 500 Phase 2: corners:  67%|██████▋   | 223/333 [04:17<02:25,  1.33s/it]

→ 500 Phase 2: corners:  67%|██████▋   | 224/333 [04:19<02:24,  1.32s/it]

→ 500 Phase 2: corners:  68%|██████▊   | 225/333 [04:20<02:22,  1.32s/it]

→ 500 Phase 2: corners:  68%|██████▊   | 226/333 [04:21<02:18,  1.30s/it]

→ 500 Phase 2: corners:  68%|██████▊   | 227/333 [04:23<02:17,  1.30s/it]

→ 500 Phase 2: corners:  68%|██████▊   | 228/333 [04:24<02:14,  1.28s/it]

→ 500 Phase 2: corners:  69%|██████▉   | 229/333 [04:25<02:13,  1.29s/it]

→ 500 Phase 2: corners:  69%|██████▉   | 230/333 [04:26<02:13,  1.30s/it]

→ 500 Phase 2: corners:  69%|██████▉   | 231/333 [04:28<02:09,  1.27s/it]

→ 500 Phase 2: corners:  70%|██████▉   | 232/333 [04:29<02:07,  1.26s/it]

→ 500 Phase 2: corners:  70%|██████▉   | 233/333 [04:30<02:06,  1.26s/it]

→ 500 Phase 2: corners:  70%|███████   | 234/333 [04:31<02:04,  1.25s/it]

→ 500 Phase 2: corners:  71%|███████   | 235/333 [04:33<02:02,  1.25s/it]

→ 500 Phase 2: corners:  71%|███████   | 236/333 [04:34<01:59,  1.23s/it]

→ 500 Phase 2: corners:  71%|███████   | 237/333 [04:35<01:56,  1.21s/it]

→ 500 Phase 2: corners:  71%|███████▏  | 238/333 [04:36<01:54,  1.20s/it]

→ 500 Phase 2: corners:  72%|███████▏  | 239/333 [04:37<01:51,  1.18s/it]

→ 500 Phase 2: corners:  72%|███████▏  | 240/333 [04:39<01:51,  1.19s/it]

→ 500 Phase 2: corners:  72%|███████▏  | 241/333 [04:40<01:48,  1.18s/it]

→ 500 Phase 2: corners:  73%|███████▎  | 242/333 [04:41<01:48,  1.19s/it]

→ 500 Phase 2: corners:  73%|███████▎  | 243/333 [04:42<01:46,  1.19s/it]

→ 500 Phase 2: corners:  73%|███████▎  | 244/333 [04:43<01:43,  1.16s/it]

→ 500 Phase 2: corners:  74%|███████▎  | 245/333 [04:44<01:42,  1.17s/it]

→ 500 Phase 2: corners:  74%|███████▍  | 246/333 [04:46<01:40,  1.16s/it]

→ 500 Phase 2: corners:  74%|███████▍  | 247/333 [04:47<01:38,  1.14s/it]

→ 500 Phase 2: corners:  74%|███████▍  | 248/333 [04:48<01:37,  1.15s/it]

→ 500 Phase 2: corners:  75%|███████▍  | 249/333 [04:49<01:34,  1.12s/it]

→ 500 Phase 2: corners:  75%|███████▌  | 250/333 [04:50<01:32,  1.11s/it]

→ 500 Phase 2: corners:  75%|███████▌  | 251/333 [04:51<01:31,  1.11s/it]

→ 500 Phase 2: corners:  76%|███████▌  | 252/333 [04:52<01:30,  1.11s/it]

→ 500 Phase 2: corners:  76%|███████▌  | 253/333 [04:53<01:28,  1.10s/it]

→ 500 Phase 2: corners:  76%|███████▋  | 254/333 [04:54<01:27,  1.10s/it]

→ 500 Phase 2: corners:  77%|███████▋  | 255/333 [04:55<01:24,  1.09s/it]

→ 500 Phase 2: corners:  77%|███████▋  | 256/333 [04:56<01:23,  1.09s/it]

→ 500 Phase 2: corners:  77%|███████▋  | 257/333 [04:58<01:21,  1.08s/it]

→ 500 Phase 2: corners:  77%|███████▋  | 258/333 [04:59<01:19,  1.06s/it]

→ 500 Phase 2: corners:  78%|███████▊  | 259/333 [05:00<01:18,  1.06s/it]

→ 500 Phase 2: corners:  78%|███████▊  | 260/333 [05:01<01:17,  1.07s/it]

→ 500 Phase 2: corners:  78%|███████▊  | 261/333 [05:02<01:16,  1.06s/it]

→ 500 Phase 2: corners:  79%|███████▊  | 262/333 [05:03<01:15,  1.06s/it]

→ 500 Phase 2: corners:  79%|███████▉  | 263/333 [05:04<01:16,  1.09s/it]

→ 500 Phase 2: corners:  79%|███████▉  | 264/333 [05:05<01:17,  1.12s/it]

→ 500 Phase 2: corners:  80%|███████▉  | 265/333 [05:06<01:16,  1.12s/it]

→ 500 Phase 2: corners:  80%|███████▉  | 266/333 [05:07<01:14,  1.11s/it]

→ 500 Phase 2: corners:  80%|████████  | 267/333 [05:08<01:13,  1.11s/it]

→ 500 Phase 2: corners:  80%|████████  | 268/333 [05:10<01:12,  1.11s/it]

→ 500 Phase 2: corners:  81%|████████  | 269/333 [05:11<01:11,  1.12s/it]

→ 500 Phase 2: corners:  81%|████████  | 270/333 [05:12<01:10,  1.12s/it]

→ 500 Phase 2: corners:  81%|████████▏ | 271/333 [05:13<01:09,  1.13s/it]

→ 500 Phase 2: corners:  82%|████████▏ | 272/333 [05:14<01:08,  1.12s/it]

→ 500 Phase 2: corners:  82%|████████▏ | 273/333 [05:15<01:07,  1.12s/it]

→ 500 Phase 2: corners:  82%|████████▏ | 274/333 [05:16<01:06,  1.13s/it]

→ 500 Phase 2: corners:  83%|████████▎ | 275/333 [05:17<01:05,  1.13s/it]

→ 500 Phase 2: corners:  83%|████████▎ | 276/333 [05:19<01:05,  1.14s/it]

→ 500 Phase 2: corners:  83%|████████▎ | 277/333 [05:20<01:04,  1.15s/it]

→ 500 Phase 2: corners:  83%|████████▎ | 278/333 [05:21<01:03,  1.15s/it]

→ 500 Phase 2: corners:  84%|████████▍ | 279/333 [05:22<01:03,  1.17s/it]

→ 500 Phase 2: corners:  84%|████████▍ | 280/333 [05:23<01:02,  1.18s/it]

→ 500 Phase 2: corners:  84%|████████▍ | 281/333 [05:25<01:01,  1.18s/it]

→ 500 Phase 2: corners:  85%|████████▍ | 282/333 [05:26<01:00,  1.19s/it]

→ 500 Phase 2: corners:  85%|████████▍ | 283/333 [05:27<00:58,  1.18s/it]

→ 500 Phase 2: corners:  85%|████████▌ | 284/333 [05:28<00:56,  1.16s/it]

→ 500 Phase 2: corners:  86%|████████▌ | 285/333 [05:29<00:55,  1.15s/it]

→ 500 Phase 2: corners:  86%|████████▌ | 286/333 [05:30<00:54,  1.16s/it]

→ 500 Phase 2: corners:  86%|████████▌ | 287/333 [05:32<00:52,  1.15s/it]

→ 500 Phase 2: corners:  86%|████████▋ | 288/333 [05:33<00:51,  1.14s/it]

→ 500 Phase 2: corners:  87%|████████▋ | 289/333 [05:34<00:49,  1.13s/it]

→ 500 Phase 2: corners:  87%|████████▋ | 290/333 [05:35<00:48,  1.13s/it]

→ 500 Phase 2: corners:  87%|████████▋ | 291/333 [05:36<00:47,  1.13s/it]

→ 500 Phase 2: corners:  88%|████████▊ | 292/333 [05:37<00:46,  1.13s/it]

→ 500 Phase 2: corners:  88%|████████▊ | 293/333 [05:38<00:45,  1.14s/it]

→ 500 Phase 2: corners:  88%|████████▊ | 294/333 [05:39<00:44,  1.15s/it]

→ 500 Phase 2: corners:  89%|████████▊ | 295/333 [05:41<00:43,  1.16s/it]

→ 500 Phase 2: corners:  89%|████████▉ | 296/333 [05:42<00:42,  1.16s/it]

→ 500 Phase 2: corners:  89%|████████▉ | 297/333 [05:43<00:42,  1.17s/it]

→ 500 Phase 2: corners:  89%|████████▉ | 298/333 [05:44<00:41,  1.17s/it]

→ 500 Phase 2: corners:  90%|████████▉ | 299/333 [05:45<00:39,  1.16s/it]

→ 500 Phase 2: corners:  90%|█████████ | 300/333 [05:46<00:38,  1.15s/it]

→ 500 Phase 2: corners:  90%|█████████ | 301/333 [05:48<00:36,  1.15s/it]

→ 500 Phase 2: corners:  91%|█████████ | 302/333 [05:49<00:35,  1.14s/it]

→ 500 Phase 2: corners:  91%|█████████ | 303/333 [05:50<00:34,  1.15s/it]

→ 500 Phase 2: corners:  91%|█████████▏| 304/333 [05:51<00:33,  1.15s/it]

→ 500 Phase 2: corners:  92%|█████████▏| 305/333 [05:52<00:31,  1.13s/it]

→ 500 Phase 2: corners:  92%|█████████▏| 306/333 [05:53<00:30,  1.14s/it]

→ 500 Phase 2: corners:  92%|█████████▏| 307/333 [05:54<00:29,  1.13s/it]

→ 500 Phase 2: corners:  92%|█████████▏| 308/333 [05:56<00:28,  1.13s/it]

→ 500 Phase 2: corners:  93%|█████████▎| 309/333 [05:57<00:26,  1.12s/it]

→ 500 Phase 2: corners:  93%|█████████▎| 310/333 [05:58<00:25,  1.13s/it]

→ 500 Phase 2: corners:  93%|█████████▎| 311/333 [05:59<00:24,  1.13s/it]

→ 500 Phase 2: corners:  94%|█████████▎| 312/333 [06:00<00:23,  1.13s/it]

→ 500 Phase 2: corners:  94%|█████████▍| 313/333 [06:01<00:22,  1.14s/it]

→ 500 Phase 2: corners:  94%|█████████▍| 314/333 [06:02<00:21,  1.14s/it]

→ 500 Phase 2: corners:  95%|█████████▍| 315/333 [06:03<00:20,  1.15s/it]

→ 500 Phase 2: corners:  95%|█████████▍| 316/333 [06:05<00:19,  1.14s/it]

→ 500 Phase 2: corners:  95%|█████████▌| 317/333 [06:06<00:18,  1.14s/it]

→ 500 Phase 2: corners:  95%|█████████▌| 318/333 [06:07<00:17,  1.14s/it]

→ 500 Phase 2: corners:  96%|█████████▌| 319/333 [06:08<00:16,  1.15s/it]

→ 500 Phase 2: corners:  96%|█████████▌| 320/333 [06:09<00:15,  1.18s/it]

→ 500 Phase 2: corners:  96%|█████████▋| 321/333 [06:10<00:14,  1.18s/it]

→ 500 Phase 2: corners:  97%|█████████▋| 322/333 [06:12<00:12,  1.18s/it]

→ 500 Phase 2: corners:  97%|█████████▋| 323/333 [06:13<00:11,  1.19s/it]

→ 500 Phase 2: corners:  97%|█████████▋| 324/333 [06:14<00:10,  1.19s/it]

→ 500 Phase 2: corners:  98%|█████████▊| 325/333 [06:15<00:09,  1.19s/it]

→ 500 Phase 2: corners:  98%|█████████▊| 326/333 [06:16<00:08,  1.18s/it]

→ 500 Phase 2: corners:  98%|█████████▊| 327/333 [06:18<00:07,  1.19s/it]

→ 500 Phase 2: corners:  98%|█████████▊| 328/333 [06:19<00:05,  1.18s/it]

→ 500 Phase 2: corners:  99%|█████████▉| 329/333 [06:20<00:04,  1.18s/it]

→ 500 Phase 2: corners:  99%|█████████▉| 330/333 [06:21<00:03,  1.19s/it]

→ 500 Phase 2: corners:  99%|█████████▉| 331/333 [06:22<00:02,  1.18s/it]

→ 500 Phase 2: corners: 100%|█████████▉| 332/333 [06:24<00:01,  1.19s/it]

                                                                         [PASS2] Frame 0000250: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000251: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000252: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000253: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000484: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000485: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000486: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000487: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000252: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 4 frames fixed, 7 untrusted, 333 total


→ 500 Phase 3: finalize:   0%|          | 0/333 [00:00<?, ?it/s]

→ 500 Phase 3: finalize:   0%|          | 1/333 [00:00<00:33,  9.93it/s]

→ 500 Phase 3: finalize:   1%|          | 3/333 [00:00<00:29, 11.10it/s]

→ 500 Phase 3: finalize:   2%|▏         | 5/333 [00:00<00:28, 11.60it/s]

→ 500 Phase 3: finalize:   2%|▏         | 7/333 [00:00<00:27, 11.91it/s]

→ 500 Phase 3: finalize:   3%|▎         | 9/333 [00:00<00:26, 12.06it/s]

→ 500 Phase 3: finalize:   3%|▎         | 11/333 [00:00<00:26, 12.12it/s]

→ 500 Phase 3: finalize:   4%|▍         | 13/333 [00:01<00:26, 12.15it/s]

→ 500 Phase 3: finalize:   5%|▍         | 15/333 [00:01<00:26, 12.22it/s]

→ 500 Phase 3: finalize:   5%|▌         | 17/333 [00:01<00:25, 12.21it/s]

→ 500 Phase 3: finalize:   6%|▌         | 19/333 [00:01<00:25, 12.20it/s]

→ 500 Phase 3: finalize:   6%|▋         | 21/333 [00:01<00:25, 12.14it/s]

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→ 500 Phase 3: finalize:  11%|█         | 35/333 [00:02<00:24, 12.11it/s]

→ 500 Phase 3: finalize:  11%|█         | 37/333 [00:03<00:24, 12.12it/s]

→ 500 Phase 3: finalize:  12%|█▏        | 39/333 [00:03<00:24, 11.92it/s]

→ 500 Phase 3: finalize:  12%|█▏        | 41/333 [00:03<00:24, 12.00it/s]

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→ 500 Phase 3: finalize:  14%|█▍        | 47/333 [00:03<00:23, 12.29it/s]

→ 500 Phase 3: finalize:  15%|█▍        | 49/333 [00:04<00:22, 12.38it/s]

→ 500 Phase 3: finalize:  15%|█▌        | 51/333 [00:04<00:22, 12.40it/s]

→ 500 Phase 3: finalize:  16%|█▌        | 53/333 [00:04<00:22, 12.45it/s]

→ 500 Phase 3: finalize:  17%|█▋        | 55/333 [00:04<00:22, 12.48it/s]

→ 500 Phase 3: finalize:  17%|█▋        | 57/333 [00:04<00:22, 12.51it/s]

→ 500 Phase 3: finalize:  18%|█▊        | 59/333 [00:04<00:21, 12.51it/s]

→ 500 Phase 3: finalize:  18%|█▊        | 61/333 [00:05<00:21, 12.52it/s]

→ 500 Phase 3: finalize:  19%|█▉        | 63/333 [00:05<00:21, 12.54it/s]

→ 500 Phase 3: finalize:  20%|█▉        | 65/333 [00:05<00:21, 12.54it/s]

→ 500 Phase 3: finalize:  20%|██        | 67/333 [00:05<00:23, 11.49it/s]

→ 500 Phase 3: finalize:  21%|██        | 69/333 [00:05<00:26, 10.15it/s]

→ 500 Phase 3: finalize:  21%|██▏       | 71/333 [00:06<00:27,  9.51it/s]

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→ 500 Phase 3: finalize:  29%|██▉       | 96/333 [00:08<00:23, 10.07it/s]

→ 500 Phase 3: finalize:  29%|██▉       | 98/333 [00:09<00:21, 11.10it/s]

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→ 500 Phase 3: finalize:  36%|███▌      | 120/333 [00:10<00:16, 13.05it/s]

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→ 500 Phase 3: finalize:  93%|█████████▎| 309/333 [00:27<00:01, 12.42it/s]

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→ 500 Phase 3: finalize:  94%|█████████▍| 313/333 [00:27<00:01, 12.49it/s]

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→ 500 Phase 3: finalize:  96%|█████████▋| 321/333 [00:27<00:00, 12.52it/s]

→ 500 Phase 3: finalize:  97%|█████████▋| 323/333 [00:28<00:00, 12.55it/s]

→ 500 Phase 3: finalize:  98%|█████████▊| 325/333 [00:28<00:00, 12.46it/s]

→ 500 Phase 3: finalize:  98%|█████████▊| 327/333 [00:28<00:00, 12.45it/s]

→ 500 Phase 3: finalize:  99%|█████████▉| 329/333 [00:28<00:00, 12.42it/s]

→ 500 Phase 3: finalize:  99%|█████████▉| 331/333 [00:28<00:00, 12.45it/s]

                                                                          
Processing Rigs:  50%|█████     | 1/2 [07:31<07:31, 451.40s/it][INFO] Filtered 248 stationary frames, 411 remain


→ 1000 (411 images) Phase 1:   0%|          | 0/411 [00:00<?, ?it/s]

→ 1000 (411 images) Phase 1:   0%|          | 1/411 [00:03<25:45,  3.77s/it]

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→ 1000 (411 images) Phase 1:  12%|█▏        | 49/411 [00:07<00:32, 11.02it/s]

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→ 1000 (411 images) Phase 1:  15%|█▍        | 61/411 [00:07<00:22, 15.82it/s]

→ 1000 (411 images) Phase 1:  16%|█▌        | 66/411 [00:10<00:59,  5.79it/s]

→ 1000 (411 images) Phase 1:  17%|█▋        | 70/411 [00:10<00:48,  7.05it/s]

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→ 1000 (411 images) Phase 1:  99%|█████████▉| 408/411 [00:41<00:00, 21.92it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/411 [00:00<?, ?it/s]

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→ 1000 Phase 2: corners:   7%|▋         | 27/411 [00:22<05:27,  1.17it/s]

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→ 1000 Phase 2: corners:  12%|█▏        | 48/411 [00:41<05:19,  1.13it/s]

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→ 1000 Phase 2: corners:  13%|█▎        | 53/411 [00:45<05:23,  1.11it/s]

→ 1000 Phase 2: corners:  13%|█▎        | 54/411 [00:46<05:24,  1.10it/s]

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→ 1000 Phase 2: corners:  14%|█▎        | 56/411 [00:48<05:17,  1.12it/s]

→ 1000 Phase 2: corners:  14%|█▍        | 57/411 [00:49<05:13,  1.13it/s]

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→ 1000 Phase 2: corners:  14%|█▍        | 59/411 [00:50<05:15,  1.11it/s]

→ 1000 Phase 2: corners:  15%|█▍        | 60/411 [00:51<05:11,  1.13it/s]

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→ 1000 Phase 2: corners:  16%|█▌        | 64/411 [00:55<04:58,  1.16it/s]

→ 1000 Phase 2: corners:  16%|█▌        | 65/411 [00:56<04:55,  1.17it/s]

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→ 1000 Phase 2: corners:  17%|█▋        | 68/411 [00:58<04:48,  1.19it/s]

→ 1000 Phase 2: corners:  17%|█▋        | 69/411 [00:59<04:50,  1.18it/s]

→ 1000 Phase 2: corners:  17%|█▋        | 70/411 [01:00<04:51,  1.17it/s]

→ 1000 Phase 2: corners:  17%|█▋        | 71/411 [01:01<04:52,  1.16it/s]

→ 1000 Phase 2: corners:  18%|█▊        | 72/411 [01:01<04:51,  1.16it/s]

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→ 1000 Phase 2: corners:  19%|█▊        | 77/411 [01:06<04:58,  1.12it/s]

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→ 1000 Phase 2: corners:  20%|█▉        | 82/411 [01:10<04:55,  1.11it/s]

→ 1000 Phase 2: corners:  20%|██        | 83/411 [01:11<05:00,  1.09it/s]

→ 1000 Phase 2: corners:  20%|██        | 84/411 [01:12<04:55,  1.11it/s]

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→ 1000 Phase 2: corners:  22%|██▏       | 89/411 [01:17<04:45,  1.13it/s]

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→ 1000 Phase 2: corners:  22%|██▏       | 91/411 [01:19<04:47,  1.11it/s]

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→ 1000 Phase 2: corners:  24%|██▍       | 100/411 [01:27<04:49,  1.07it/s]

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→ 1000 Phase 2: corners:  26%|██▌       | 107/411 [01:34<04:53,  1.03it/s]

→ 1000 Phase 2: corners:  26%|██▋       | 108/411 [01:35<04:50,  1.04it/s]

→ 1000 Phase 2: corners:  27%|██▋       | 109/411 [01:35<04:48,  1.05it/s]

→ 1000 Phase 2: corners:  27%|██▋       | 110/411 [01:36<04:45,  1.06it/s]

→ 1000 Phase 2: corners:  27%|██▋       | 111/411 [01:37<04:40,  1.07it/s]

→ 1000 Phase 2: corners:  27%|██▋       | 112/411 [01:38<04:39,  1.07it/s]

→ 1000 Phase 2: corners:  27%|██▋       | 113/411 [01:39<04:34,  1.08it/s]

→ 1000 Phase 2: corners:  28%|██▊       | 114/411 [01:40<04:31,  1.09it/s]

→ 1000 Phase 2: corners:  28%|██▊       | 115/411 [01:41<04:32,  1.09it/s]

→ 1000 Phase 2: corners:  28%|██▊       | 116/411 [01:42<04:29,  1.10it/s]

→ 1000 Phase 2: corners:  28%|██▊       | 117/411 [01:43<04:27,  1.10it/s]

→ 1000 Phase 2: corners:  29%|██▊       | 118/411 [01:44<04:29,  1.09it/s]

→ 1000 Phase 2: corners:  29%|██▉       | 119/411 [01:45<04:30,  1.08it/s]

→ 1000 Phase 2: corners:  29%|██▉       | 120/411 [01:46<04:29,  1.08it/s]

→ 1000 Phase 2: corners:  29%|██▉       | 121/411 [01:47<04:28,  1.08it/s]

→ 1000 Phase 2: corners:  30%|██▉       | 122/411 [01:47<04:27,  1.08it/s]

→ 1000 Phase 2: corners:  30%|██▉       | 123/411 [01:48<04:25,  1.08it/s]

→ 1000 Phase 2: corners:  30%|███       | 124/411 [01:50<04:45,  1.01it/s]

→ 1000 Phase 2: corners:  30%|███       | 125/411 [01:50<04:37,  1.03it/s]

→ 1000 Phase 2: corners:  31%|███       | 126/411 [01:51<04:31,  1.05it/s]

→ 1000 Phase 2: corners:  31%|███       | 127/411 [01:52<04:27,  1.06it/s]

→ 1000 Phase 2: corners:  31%|███       | 128/411 [01:53<04:23,  1.07it/s]

→ 1000 Phase 2: corners:  31%|███▏      | 129/411 [01:54<04:21,  1.08it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 130/411 [01:55<04:18,  1.09it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 131/411 [01:56<04:15,  1.09it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 132/411 [01:57<04:16,  1.09it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 133/411 [01:58<04:15,  1.09it/s]

→ 1000 Phase 2: corners:  33%|███▎      | 134/411 [01:59<04:13,  1.09it/s]

→ 1000 Phase 2: corners:  33%|███▎      | 135/411 [02:00<04:13,  1.09it/s]

→ 1000 Phase 2: corners:  33%|███▎      | 136/411 [02:00<04:12,  1.09it/s]

→ 1000 Phase 2: corners:  33%|███▎      | 137/411 [02:01<04:10,  1.09it/s]

→ 1000 Phase 2: corners:  34%|███▎      | 138/411 [02:02<04:13,  1.08it/s]

→ 1000 Phase 2: corners:  34%|███▍      | 139/411 [02:03<04:11,  1.08it/s]

→ 1000 Phase 2: corners:  34%|███▍      | 140/411 [02:04<04:09,  1.09it/s]

→ 1000 Phase 2: corners:  34%|███▍      | 141/411 [02:05<04:08,  1.09it/s]

→ 1000 Phase 2: corners:  35%|███▍      | 142/411 [02:06<04:09,  1.08it/s]

→ 1000 Phase 2: corners:  35%|███▍      | 143/411 [02:07<04:07,  1.08it/s]

→ 1000 Phase 2: corners:  35%|███▌      | 144/411 [02:08<04:06,  1.08it/s]

→ 1000 Phase 2: corners:  35%|███▌      | 145/411 [02:09<04:04,  1.09it/s]

→ 1000 Phase 2: corners:  36%|███▌      | 146/411 [02:10<04:04,  1.08it/s]

→ 1000 Phase 2: corners:  36%|███▌      | 147/411 [02:11<04:03,  1.08it/s]

→ 1000 Phase 2: corners:  36%|███▌      | 148/411 [02:12<04:00,  1.09it/s]

→ 1000 Phase 2: corners:  36%|███▋      | 149/411 [02:12<04:01,  1.08it/s]

→ 1000 Phase 2: corners:  36%|███▋      | 150/411 [02:13<04:01,  1.08it/s]

→ 1000 Phase 2: corners:  37%|███▋      | 151/411 [02:14<04:01,  1.08it/s]

→ 1000 Phase 2: corners:  37%|███▋      | 152/411 [02:15<03:56,  1.10it/s]

→ 1000 Phase 2: corners:  37%|███▋      | 153/411 [02:16<03:53,  1.10it/s]

→ 1000 Phase 2: corners:  37%|███▋      | 154/411 [02:17<03:53,  1.10it/s]

→ 1000 Phase 2: corners:  38%|███▊      | 155/411 [02:18<03:51,  1.11it/s]

→ 1000 Phase 2: corners:  38%|███▊      | 156/411 [02:19<03:53,  1.09it/s]

→ 1000 Phase 2: corners:  38%|███▊      | 157/411 [02:20<03:53,  1.09it/s]

→ 1000 Phase 2: corners:  38%|███▊      | 158/411 [02:21<03:53,  1.09it/s]

→ 1000 Phase 2: corners:  39%|███▊      | 159/411 [02:22<03:52,  1.09it/s]

→ 1000 Phase 2: corners:  39%|███▉      | 160/411 [02:23<03:50,  1.09it/s]

→ 1000 Phase 2: corners:  39%|███▉      | 161/411 [02:23<03:49,  1.09it/s]

→ 1000 Phase 2: corners:  39%|███▉      | 162/411 [02:24<03:52,  1.07it/s]

→ 1000 Phase 2: corners:  40%|███▉      | 163/411 [02:25<03:54,  1.06it/s]

→ 1000 Phase 2: corners:  40%|███▉      | 164/411 [02:26<03:56,  1.05it/s]

→ 1000 Phase 2: corners:  40%|████      | 165/411 [02:27<03:58,  1.03it/s]

→ 1000 Phase 2: corners:  40%|████      | 166/411 [02:28<03:57,  1.03it/s]

→ 1000 Phase 2: corners:  41%|████      | 167/411 [02:29<03:59,  1.02it/s]

→ 1000 Phase 2: corners:  41%|████      | 168/411 [02:30<03:59,  1.01it/s]

→ 1000 Phase 2: corners:  41%|████      | 169/411 [02:31<03:57,  1.02it/s]

→ 1000 Phase 2: corners:  41%|████▏     | 170/411 [02:32<03:56,  1.02it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 171/411 [02:33<03:49,  1.05it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 172/411 [02:34<03:44,  1.06it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 173/411 [02:35<03:43,  1.06it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 174/411 [02:36<03:46,  1.05it/s]

→ 1000 Phase 2: corners:  43%|████▎     | 175/411 [02:37<03:42,  1.06it/s]

→ 1000 Phase 2: corners:  43%|████▎     | 176/411 [02:38<03:40,  1.07it/s]

→ 1000 Phase 2: corners:  43%|████▎     | 177/411 [02:39<03:36,  1.08it/s]

→ 1000 Phase 2: corners:  43%|████▎     | 178/411 [02:40<03:32,  1.10it/s]

→ 1000 Phase 2: corners:  44%|████▎     | 179/411 [02:41<03:30,  1.10it/s]

→ 1000 Phase 2: corners:  44%|████▍     | 180/411 [02:41<03:28,  1.11it/s]

→ 1000 Phase 2: corners:  44%|████▍     | 181/411 [02:42<03:27,  1.11it/s]

→ 1000 Phase 2: corners:  44%|████▍     | 182/411 [02:43<03:23,  1.13it/s]

→ 1000 Phase 2: corners:  45%|████▍     | 183/411 [02:44<03:22,  1.13it/s]

→ 1000 Phase 2: corners:  45%|████▍     | 184/411 [02:45<03:23,  1.12it/s]

→ 1000 Phase 2: corners:  45%|████▌     | 185/411 [02:46<03:21,  1.12it/s]

→ 1000 Phase 2: corners:  45%|████▌     | 186/411 [02:47<03:21,  1.12it/s]

→ 1000 Phase 2: corners:  45%|████▌     | 187/411 [02:48<03:21,  1.11it/s]

→ 1000 Phase 2: corners:  46%|████▌     | 188/411 [02:49<03:15,  1.14it/s]

→ 1000 Phase 2: corners:  46%|████▌     | 189/411 [02:49<03:14,  1.14it/s]

→ 1000 Phase 2: corners:  46%|████▌     | 190/411 [02:50<03:15,  1.13it/s]

→ 1000 Phase 2: corners:  46%|████▋     | 191/411 [02:51<03:14,  1.13it/s]

→ 1000 Phase 2: corners:  47%|████▋     | 192/411 [02:52<03:11,  1.15it/s]

→ 1000 Phase 2: corners:  47%|████▋     | 193/411 [02:53<03:10,  1.14it/s]

→ 1000 Phase 2: corners:  47%|████▋     | 194/411 [02:54<03:10,  1.14it/s]

→ 1000 Phase 2: corners:  47%|████▋     | 195/411 [02:55<03:08,  1.15it/s]

→ 1000 Phase 2: corners:  48%|████▊     | 196/411 [02:55<03:04,  1.17it/s]

→ 1000 Phase 2: corners:  48%|████▊     | 197/411 [02:56<03:02,  1.17it/s]

→ 1000 Phase 2: corners:  48%|████▊     | 198/411 [02:57<03:00,  1.18it/s]

→ 1000 Phase 2: corners:  48%|████▊     | 199/411 [02:58<03:01,  1.17it/s]

→ 1000 Phase 2: corners:  49%|████▊     | 200/411 [02:59<02:59,  1.17it/s]

→ 1000 Phase 2: corners:  49%|████▉     | 201/411 [03:00<02:58,  1.17it/s]

→ 1000 Phase 2: corners:  49%|████▉     | 202/411 [03:01<02:58,  1.17it/s]

→ 1000 Phase 2: corners:  49%|████▉     | 203/411 [03:01<02:57,  1.17it/s]

→ 1000 Phase 2: corners:  50%|████▉     | 204/411 [03:02<02:56,  1.17it/s]

→ 1000 Phase 2: corners:  50%|████▉     | 205/411 [03:03<02:54,  1.18it/s]

→ 1000 Phase 2: corners:  50%|█████     | 206/411 [03:04<02:56,  1.16it/s]

→ 1000 Phase 2: corners:  50%|█████     | 207/411 [03:05<02:55,  1.16it/s]

→ 1000 Phase 2: corners:  51%|█████     | 208/411 [03:06<02:53,  1.17it/s]

→ 1000 Phase 2: corners:  51%|█████     | 209/411 [03:07<02:52,  1.17it/s]

→ 1000 Phase 2: corners:  51%|█████     | 210/411 [03:07<02:52,  1.17it/s]

→ 1000 Phase 2: corners:  51%|█████▏    | 211/411 [03:08<02:50,  1.17it/s]

→ 1000 Phase 2: corners:  52%|█████▏    | 212/411 [03:09<02:49,  1.18it/s]

→ 1000 Phase 2: corners:  52%|█████▏    | 213/411 [03:10<02:50,  1.16it/s]

→ 1000 Phase 2: corners:  52%|█████▏    | 214/411 [03:11<02:49,  1.16it/s]

→ 1000 Phase 2: corners:  52%|█████▏    | 215/411 [03:12<02:49,  1.16it/s]

→ 1000 Phase 2: corners:  53%|█████▎    | 216/411 [03:13<02:47,  1.16it/s]

→ 1000 Phase 2: corners:  53%|█████▎    | 217/411 [03:13<02:48,  1.15it/s]

→ 1000 Phase 2: corners:  53%|█████▎    | 218/411 [03:14<02:50,  1.13it/s]

→ 1000 Phase 2: corners:  53%|█████▎    | 219/411 [03:15<02:50,  1.13it/s]

→ 1000 Phase 2: corners:  54%|█████▎    | 220/411 [03:16<02:49,  1.13it/s]

→ 1000 Phase 2: corners:  54%|█████▍    | 221/411 [03:17<02:49,  1.12it/s]

→ 1000 Phase 2: corners:  54%|█████▍    | 222/411 [03:18<02:49,  1.11it/s]

→ 1000 Phase 2: corners:  54%|█████▍    | 223/411 [03:19<02:50,  1.11it/s]

→ 1000 Phase 2: corners:  55%|█████▍    | 224/411 [03:20<02:50,  1.10it/s]

→ 1000 Phase 2: corners:  55%|█████▍    | 225/411 [03:21<02:51,  1.08it/s]

→ 1000 Phase 2: corners:  55%|█████▍    | 226/411 [03:22<02:51,  1.08it/s]

→ 1000 Phase 2: corners:  55%|█████▌    | 227/411 [03:23<02:53,  1.06it/s]

→ 1000 Phase 2: corners:  55%|█████▌    | 228/411 [03:24<02:53,  1.06it/s]

→ 1000 Phase 2: corners:  56%|█████▌    | 229/411 [03:25<02:53,  1.05it/s]

→ 1000 Phase 2: corners:  56%|█████▌    | 230/411 [03:26<02:55,  1.03it/s]

→ 1000 Phase 2: corners:  56%|█████▌    | 231/411 [03:27<02:54,  1.03it/s]

→ 1000 Phase 2: corners:  56%|█████▋    | 232/411 [03:28<02:52,  1.04it/s]

→ 1000 Phase 2: corners:  57%|█████▋    | 233/411 [03:28<02:48,  1.06it/s]

→ 1000 Phase 2: corners:  57%|█████▋    | 234/411 [03:29<02:44,  1.07it/s]

→ 1000 Phase 2: corners:  57%|█████▋    | 235/411 [03:30<02:43,  1.08it/s]

→ 1000 Phase 2: corners:  57%|█████▋    | 236/411 [03:31<02:40,  1.09it/s]

→ 1000 Phase 2: corners:  58%|█████▊    | 237/411 [03:32<02:41,  1.08it/s]

→ 1000 Phase 2: corners:  58%|█████▊    | 238/411 [03:33<02:39,  1.09it/s]

→ 1000 Phase 2: corners:  58%|█████▊    | 239/411 [03:34<02:39,  1.08it/s]

→ 1000 Phase 2: corners:  58%|█████▊    | 240/411 [03:35<02:38,  1.08it/s]

→ 1000 Phase 2: corners:  59%|█████▊    | 241/411 [03:36<02:37,  1.08it/s]

→ 1000 Phase 2: corners:  59%|█████▉    | 242/411 [03:37<02:37,  1.07it/s]

→ 1000 Phase 2: corners:  59%|█████▉    | 243/411 [03:38<02:36,  1.07it/s]

→ 1000 Phase 2: corners:  59%|█████▉    | 244/411 [03:39<02:35,  1.07it/s]

→ 1000 Phase 2: corners:  60%|█████▉    | 245/411 [03:40<02:34,  1.08it/s]

→ 1000 Phase 2: corners:  60%|█████▉    | 246/411 [03:41<02:34,  1.07it/s]

→ 1000 Phase 2: corners:  60%|██████    | 247/411 [03:41<02:33,  1.07it/s]

→ 1000 Phase 2: corners:  60%|██████    | 248/411 [03:42<02:32,  1.07it/s]

→ 1000 Phase 2: corners:  61%|██████    | 249/411 [03:43<02:31,  1.07it/s]

→ 1000 Phase 2: corners:  61%|██████    | 250/411 [03:44<02:29,  1.08it/s]

→ 1000 Phase 2: corners:  61%|██████    | 251/411 [03:45<02:28,  1.07it/s]

→ 1000 Phase 2: corners:  61%|██████▏   | 252/411 [03:46<02:29,  1.06it/s]

→ 1000 Phase 2: corners:  62%|██████▏   | 253/411 [03:47<02:26,  1.08it/s]

→ 1000 Phase 2: corners:  62%|██████▏   | 254/411 [03:48<02:24,  1.08it/s]

→ 1000 Phase 2: corners:  62%|██████▏   | 255/411 [03:49<02:23,  1.09it/s]

→ 1000 Phase 2: corners:  62%|██████▏   | 256/411 [03:50<02:22,  1.09it/s]

→ 1000 Phase 2: corners:  63%|██████▎   | 257/411 [03:51<02:21,  1.09it/s]

→ 1000 Phase 2: corners:  63%|██████▎   | 258/411 [03:52<02:22,  1.08it/s]

→ 1000 Phase 2: corners:  63%|██████▎   | 259/411 [03:53<02:22,  1.07it/s]

→ 1000 Phase 2: corners:  63%|██████▎   | 260/411 [03:54<02:21,  1.06it/s]

→ 1000 Phase 2: corners:  64%|██████▎   | 261/411 [03:54<02:21,  1.06it/s]

→ 1000 Phase 2: corners:  64%|██████▎   | 262/411 [03:55<02:19,  1.07it/s]

→ 1000 Phase 2: corners:  64%|██████▍   | 263/411 [03:56<02:18,  1.07it/s]

→ 1000 Phase 2: corners:  64%|██████▍   | 264/411 [03:57<02:17,  1.07it/s]

→ 1000 Phase 2: corners:  64%|██████▍   | 265/411 [03:58<02:16,  1.07it/s]

→ 1000 Phase 2: corners:  65%|██████▍   | 266/411 [03:59<02:14,  1.08it/s]

→ 1000 Phase 2: corners:  65%|██████▍   | 267/411 [04:00<02:14,  1.07it/s]

→ 1000 Phase 2: corners:  65%|██████▌   | 268/411 [04:01<02:13,  1.07it/s]

→ 1000 Phase 2: corners:  65%|██████▌   | 269/411 [04:02<02:12,  1.07it/s]

→ 1000 Phase 2: corners:  66%|██████▌   | 270/411 [04:03<02:11,  1.07it/s]

→ 1000 Phase 2: corners:  66%|██████▌   | 271/411 [04:04<02:11,  1.06it/s]

→ 1000 Phase 2: corners:  66%|██████▌   | 272/411 [04:05<02:11,  1.06it/s]

→ 1000 Phase 2: corners:  66%|██████▋   | 273/411 [04:06<02:09,  1.06it/s]

→ 1000 Phase 2: corners:  67%|██████▋   | 274/411 [04:07<02:09,  1.06it/s]

→ 1000 Phase 2: corners:  67%|██████▋   | 275/411 [04:08<02:09,  1.05it/s]

→ 1000 Phase 2: corners:  67%|██████▋   | 276/411 [04:09<02:07,  1.06it/s]

→ 1000 Phase 2: corners:  67%|██████▋   | 277/411 [04:09<02:05,  1.07it/s]

→ 1000 Phase 2: corners:  68%|██████▊   | 278/411 [04:10<02:05,  1.06it/s]

→ 1000 Phase 2: corners:  68%|██████▊   | 279/411 [04:11<02:05,  1.05it/s]

→ 1000 Phase 2: corners:  68%|██████▊   | 280/411 [04:12<02:06,  1.04it/s]

→ 1000 Phase 2: corners:  68%|██████▊   | 281/411 [04:13<02:06,  1.03it/s]

→ 1000 Phase 2: corners:  69%|██████▊   | 282/411 [04:14<02:05,  1.03it/s]

→ 1000 Phase 2: corners:  69%|██████▉   | 283/411 [04:15<02:05,  1.02it/s]

→ 1000 Phase 2: corners:  69%|██████▉   | 284/411 [04:16<02:04,  1.02it/s]

→ 1000 Phase 2: corners:  69%|██████▉   | 285/411 [04:17<02:03,  1.02it/s]

→ 1000 Phase 2: corners:  70%|██████▉   | 286/411 [04:18<02:03,  1.01it/s]

→ 1000 Phase 2: corners:  70%|██████▉   | 287/411 [04:19<02:03,  1.00it/s]

→ 1000 Phase 2: corners:  70%|███████   | 288/411 [04:20<02:03,  1.00s/it]

→ 1000 Phase 2: corners:  70%|███████   | 289/411 [04:21<02:02,  1.00s/it]

→ 1000 Phase 2: corners:  71%|███████   | 290/411 [04:22<01:58,  1.02it/s]

→ 1000 Phase 2: corners:  71%|███████   | 291/411 [04:23<01:56,  1.03it/s]

→ 1000 Phase 2: corners:  71%|███████   | 292/411 [04:24<01:54,  1.04it/s]

→ 1000 Phase 2: corners:  71%|███████▏  | 293/411 [04:25<01:52,  1.05it/s]

→ 1000 Phase 2: corners:  72%|███████▏  | 294/411 [04:26<01:53,  1.04it/s]

→ 1000 Phase 2: corners:  72%|███████▏  | 295/411 [04:27<01:50,  1.05it/s]

→ 1000 Phase 2: corners:  72%|███████▏  | 296/411 [04:28<01:48,  1.06it/s]

→ 1000 Phase 2: corners:  72%|███████▏  | 297/411 [04:29<01:45,  1.08it/s]

→ 1000 Phase 2: corners:  73%|███████▎  | 298/411 [04:30<01:44,  1.08it/s]

→ 1000 Phase 2: corners:  73%|███████▎  | 299/411 [04:31<01:42,  1.09it/s]

→ 1000 Phase 2: corners:  73%|███████▎  | 300/411 [04:32<01:41,  1.09it/s]

→ 1000 Phase 2: corners:  73%|███████▎  | 301/411 [04:32<01:40,  1.09it/s]

→ 1000 Phase 2: corners:  73%|███████▎  | 302/411 [04:33<01:39,  1.10it/s]

→ 1000 Phase 2: corners:  74%|███████▎  | 303/411 [04:34<01:37,  1.11it/s]

→ 1000 Phase 2: corners:  74%|███████▍  | 304/411 [04:35<01:36,  1.11it/s]

→ 1000 Phase 2: corners:  74%|███████▍  | 305/411 [04:36<01:34,  1.12it/s]

→ 1000 Phase 2: corners:  74%|███████▍  | 306/411 [04:37<01:32,  1.13it/s]

→ 1000 Phase 2: corners:  75%|███████▍  | 307/411 [04:38<01:31,  1.13it/s]

→ 1000 Phase 2: corners:  75%|███████▍  | 308/411 [04:39<01:30,  1.14it/s]

→ 1000 Phase 2: corners:  75%|███████▌  | 309/411 [04:39<01:28,  1.16it/s]

→ 1000 Phase 2: corners:  75%|███████▌  | 310/411 [04:40<01:27,  1.15it/s]

→ 1000 Phase 2: corners:  76%|███████▌  | 311/411 [04:41<01:26,  1.15it/s]

→ 1000 Phase 2: corners:  76%|███████▌  | 312/411 [04:42<01:24,  1.17it/s]

→ 1000 Phase 2: corners:  76%|███████▌  | 313/411 [04:43<01:24,  1.16it/s]

→ 1000 Phase 2: corners:  76%|███████▋  | 314/411 [04:44<01:23,  1.16it/s]

→ 1000 Phase 2: corners:  77%|███████▋  | 315/411 [04:45<01:23,  1.16it/s]

→ 1000 Phase 2: corners:  77%|███████▋  | 316/411 [04:46<01:22,  1.15it/s]

→ 1000 Phase 2: corners:  77%|███████▋  | 317/411 [04:46<01:22,  1.13it/s]

→ 1000 Phase 2: corners:  77%|███████▋  | 318/411 [04:47<01:22,  1.13it/s]

→ 1000 Phase 2: corners:  78%|███████▊  | 319/411 [04:48<01:22,  1.12it/s]

→ 1000 Phase 2: corners:  78%|███████▊  | 320/411 [04:49<01:21,  1.11it/s]

→ 1000 Phase 2: corners:  78%|███████▊  | 321/411 [04:50<01:22,  1.09it/s]

→ 1000 Phase 2: corners:  78%|███████▊  | 322/411 [04:51<01:22,  1.08it/s]

→ 1000 Phase 2: corners:  79%|███████▊  | 323/411 [04:52<01:22,  1.07it/s]

→ 1000 Phase 2: corners:  79%|███████▉  | 324/411 [04:53<01:20,  1.08it/s]

→ 1000 Phase 2: corners:  79%|███████▉  | 325/411 [04:54<01:20,  1.07it/s]

→ 1000 Phase 2: corners:  79%|███████▉  | 326/411 [04:55<01:19,  1.08it/s]

→ 1000 Phase 2: corners:  80%|███████▉  | 327/411 [04:56<01:18,  1.07it/s]

→ 1000 Phase 2: corners:  80%|███████▉  | 328/411 [04:57<01:18,  1.06it/s]

→ 1000 Phase 2: corners:  80%|████████  | 329/411 [04:58<01:17,  1.06it/s]

→ 1000 Phase 2: corners:  80%|████████  | 330/411 [04:59<01:15,  1.07it/s]

→ 1000 Phase 2: corners:  81%|████████  | 331/411 [04:59<01:14,  1.07it/s]

→ 1000 Phase 2: corners:  81%|████████  | 332/411 [05:00<01:13,  1.07it/s]

→ 1000 Phase 2: corners:  81%|████████  | 333/411 [05:01<01:13,  1.07it/s]

→ 1000 Phase 2: corners:  81%|████████▏ | 334/411 [05:02<01:11,  1.08it/s]

→ 1000 Phase 2: corners:  82%|████████▏ | 335/411 [05:03<01:11,  1.06it/s]

→ 1000 Phase 2: corners:  82%|████████▏ | 336/411 [05:04<01:10,  1.06it/s]

→ 1000 Phase 2: corners:  82%|████████▏ | 337/411 [05:05<01:10,  1.05it/s]

→ 1000 Phase 2: corners:  82%|████████▏ | 338/411 [05:06<01:09,  1.05it/s]

→ 1000 Phase 2: corners:  82%|████████▏ | 339/411 [05:07<01:07,  1.06it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 340/411 [05:08<01:06,  1.06it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 341/411 [05:09<01:05,  1.07it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 342/411 [05:10<01:03,  1.08it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 343/411 [05:11<01:03,  1.08it/s]

→ 1000 Phase 2: corners:  84%|████████▎ | 344/411 [05:12<01:01,  1.09it/s]

→ 1000 Phase 2: corners:  84%|████████▍ | 345/411 [05:13<01:01,  1.07it/s]

→ 1000 Phase 2: corners:  84%|████████▍ | 346/411 [05:14<01:01,  1.06it/s]

→ 1000 Phase 2: corners:  84%|████████▍ | 347/411 [05:15<01:00,  1.06it/s]

→ 1000 Phase 2: corners:  85%|████████▍ | 348/411 [05:15<00:58,  1.08it/s]

→ 1000 Phase 2: corners:  85%|████████▍ | 349/411 [05:16<00:58,  1.07it/s]

→ 1000 Phase 2: corners:  85%|████████▌ | 350/411 [05:17<00:57,  1.07it/s]

→ 1000 Phase 2: corners:  85%|████████▌ | 351/411 [05:18<00:56,  1.07it/s]

→ 1000 Phase 2: corners:  86%|████████▌ | 352/411 [05:19<00:55,  1.06it/s]

→ 1000 Phase 2: corners:  86%|████████▌ | 353/411 [05:20<00:55,  1.05it/s]

→ 1000 Phase 2: corners:  86%|████████▌ | 354/411 [05:21<00:54,  1.05it/s]

→ 1000 Phase 2: corners:  86%|████████▋ | 355/411 [05:22<00:53,  1.05it/s]

→ 1000 Phase 2: corners:  87%|████████▋ | 356/411 [05:23<00:53,  1.04it/s]

→ 1000 Phase 2: corners:  87%|████████▋ | 357/411 [05:24<00:52,  1.04it/s]

→ 1000 Phase 2: corners:  87%|████████▋ | 358/411 [05:25<00:50,  1.05it/s]

→ 1000 Phase 2: corners:  87%|████████▋ | 359/411 [05:26<00:49,  1.04it/s]

→ 1000 Phase 2: corners:  88%|████████▊ | 360/411 [05:27<00:48,  1.04it/s]

→ 1000 Phase 2: corners:  88%|████████▊ | 361/411 [05:28<00:47,  1.06it/s]

→ 1000 Phase 2: corners:  88%|████████▊ | 362/411 [05:29<00:45,  1.07it/s]

→ 1000 Phase 2: corners:  88%|████████▊ | 363/411 [05:30<00:44,  1.08it/s]

→ 1000 Phase 2: corners:  89%|████████▊ | 364/411 [05:31<00:43,  1.09it/s]

→ 1000 Phase 2: corners:  89%|████████▉ | 365/411 [05:31<00:41,  1.10it/s]

→ 1000 Phase 2: corners:  89%|████████▉ | 366/411 [05:32<00:40,  1.10it/s]

→ 1000 Phase 2: corners:  89%|████████▉ | 367/411 [05:33<00:39,  1.10it/s]

→ 1000 Phase 2: corners:  90%|████████▉ | 368/411 [05:34<00:38,  1.11it/s]

→ 1000 Phase 2: corners:  90%|████████▉ | 369/411 [05:35<00:37,  1.11it/s]

→ 1000 Phase 2: corners:  90%|█████████ | 370/411 [05:36<00:36,  1.11it/s]

→ 1000 Phase 2: corners:  90%|█████████ | 371/411 [05:37<00:35,  1.11it/s]

→ 1000 Phase 2: corners:  91%|█████████ | 372/411 [05:38<00:35,  1.11it/s]

→ 1000 Phase 2: corners:  91%|█████████ | 373/411 [05:39<00:33,  1.12it/s]

→ 1000 Phase 2: corners:  91%|█████████ | 374/411 [05:39<00:32,  1.13it/s]

→ 1000 Phase 2: corners:  91%|█████████ | 375/411 [05:40<00:31,  1.13it/s]

→ 1000 Phase 2: corners:  91%|█████████▏| 376/411 [05:41<00:31,  1.13it/s]

→ 1000 Phase 2: corners:  92%|█████████▏| 377/411 [05:42<00:29,  1.14it/s]

→ 1000 Phase 2: corners:  92%|█████████▏| 378/411 [05:43<00:28,  1.14it/s]

→ 1000 Phase 2: corners:  92%|█████████▏| 379/411 [05:44<00:27,  1.16it/s]

→ 1000 Phase 2: corners:  92%|█████████▏| 380/411 [05:45<00:26,  1.15it/s]

→ 1000 Phase 2: corners:  93%|█████████▎| 381/411 [05:46<00:25,  1.16it/s]

→ 1000 Phase 2: corners:  93%|█████████▎| 382/411 [05:46<00:24,  1.16it/s]

→ 1000 Phase 2: corners:  93%|█████████▎| 383/411 [05:47<00:24,  1.15it/s]

→ 1000 Phase 2: corners:  93%|█████████▎| 384/411 [05:48<00:23,  1.16it/s]

→ 1000 Phase 2: corners:  94%|█████████▎| 385/411 [05:49<00:22,  1.16it/s]

→ 1000 Phase 2: corners:  94%|█████████▍| 386/411 [05:50<00:21,  1.17it/s]

→ 1000 Phase 2: corners:  94%|█████████▍| 387/411 [05:51<00:20,  1.18it/s]

→ 1000 Phase 2: corners:  94%|█████████▍| 388/411 [05:52<00:19,  1.18it/s]

→ 1000 Phase 2: corners:  95%|█████████▍| 389/411 [05:52<00:18,  1.18it/s]

→ 1000 Phase 2: corners:  95%|█████████▍| 390/411 [05:53<00:17,  1.18it/s]

→ 1000 Phase 2: corners:  95%|█████████▌| 391/411 [05:54<00:16,  1.18it/s]

→ 1000 Phase 2: corners:  95%|█████████▌| 392/411 [05:55<00:16,  1.17it/s]

→ 1000 Phase 2: corners:  96%|█████████▌| 393/411 [05:56<00:15,  1.14it/s]

→ 1000 Phase 2: corners:  96%|█████████▌| 394/411 [05:57<00:14,  1.14it/s]

→ 1000 Phase 2: corners:  96%|█████████▌| 395/411 [05:58<00:13,  1.15it/s]

→ 1000 Phase 2: corners:  96%|█████████▋| 396/411 [05:58<00:12,  1.16it/s]

→ 1000 Phase 2: corners:  97%|█████████▋| 397/411 [05:59<00:12,  1.15it/s]

→ 1000 Phase 2: corners:  97%|█████████▋| 398/411 [06:00<00:11,  1.16it/s]

→ 1000 Phase 2: corners:  97%|█████████▋| 399/411 [06:01<00:10,  1.16it/s]

→ 1000 Phase 2: corners:  97%|█████████▋| 400/411 [06:02<00:09,  1.16it/s]

→ 1000 Phase 2: corners:  98%|█████████▊| 401/411 [06:03<00:08,  1.15it/s]

→ 1000 Phase 2: corners:  98%|█████████▊| 402/411 [06:04<00:08,  1.12it/s]

→ 1000 Phase 2: corners:  98%|█████████▊| 403/411 [06:05<00:07,  1.10it/s]

→ 1000 Phase 2: corners:  98%|█████████▊| 404/411 [06:05<00:06,  1.12it/s]

→ 1000 Phase 2: corners:  99%|█████████▊| 405/411 [06:06<00:05,  1.10it/s]

→ 1000 Phase 2: corners:  99%|█████████▉| 406/411 [06:07<00:04,  1.10it/s]

→ 1000 Phase 2: corners:  99%|█████████▉| 407/411 [06:08<00:03,  1.09it/s]

→ 1000 Phase 2: corners:  99%|█████████▉| 408/411 [06:09<00:02,  1.07it/s]

→ 1000 Phase 2: corners: 100%|█████████▉| 409/411 [06:10<00:01,  1.09it/s]

→ 1000 Phase 2: corners: 100%|█████████▉| 410/411 [06:11<00:00,  1.09it/s]

→ 1000 Phase 2: corners: 100%|██████████| 411/411 [06:12<00:00,  1.10it/s]

                                                                          [PASS2] Frame 0000096: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000100: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000121: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000122: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000123: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000124: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000126: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000127: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000128: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000322: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000323: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000324: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000325: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000378: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000379: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000380: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000381: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000382: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000383: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000384: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000389: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000391: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000392: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000393: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000640: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000641: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000642: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000643: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000644: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000645: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000646: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000647: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000649: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000650: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000651: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000652: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000653: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000654: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000655: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000656: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000121: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000124: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000125: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000127: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000324: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000380: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000381: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000384: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000385: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000386: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000387: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000388: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000389: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000390: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000642: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000646: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000651: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000655: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 27 frames fixed, 22 untrusted, 411 total


→ 1000 Phase 3: finalize:   0%|          | 0/411 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   0%|          | 2/411 [00:00<00:35, 11.51it/s]

→ 1000 Phase 3: finalize:   1%|          | 4/411 [00:00<00:34, 11.71it/s]

→ 1000 Phase 3: finalize:   1%|▏         | 6/411 [00:00<00:34, 11.78it/s]

→ 1000 Phase 3: finalize:   2%|▏         | 8/411 [00:00<00:30, 13.20it/s]

→ 1000 Phase 3: finalize:   2%|▏         | 10/411 [00:00<00:31, 12.87it/s]

→ 1000 Phase 3: finalize:   3%|▎         | 12/411 [00:00<00:31, 12.66it/s]

→ 1000 Phase 3: finalize:   3%|▎         | 14/411 [00:01<00:31, 12.50it/s]

→ 1000 Phase 3: finalize:   4%|▍         | 16/411 [00:01<00:31, 12.39it/s]

→ 1000 Phase 3: finalize:   4%|▍         | 18/411 [00:01<00:31, 12.34it/s]

→ 1000 Phase 3: finalize:   5%|▍         | 20/411 [00:01<00:31, 12.32it/s]

→ 1000 Phase 3: finalize:   5%|▌         | 22/411 [00:01<00:31, 12.30it/s]

→ 1000 Phase 3: finalize:   6%|▌         | 24/411 [00:01<00:31, 12.30it/s]

→ 1000 Phase 3: finalize:   6%|▋         | 26/411 [00:02<00:31, 12.31it/s]

→ 1000 Phase 3: finalize:   7%|▋         | 28/411 [00:02<00:31, 12.28it/s]

→ 1000 Phase 3: finalize:   7%|▋         | 30/411 [00:02<00:31, 12.27it/s]

→ 1000 Phase 3: finalize:   8%|▊         | 32/411 [00:02<00:30, 12.25it/s]

→ 1000 Phase 3: finalize:   8%|▊         | 34/411 [00:02<00:30, 12.26it/s]

→ 1000 Phase 3: finalize:   9%|▉         | 36/411 [00:02<00:30, 12.25it/s]

→ 1000 Phase 3: finalize:   9%|▉         | 38/411 [00:03<00:30, 12.25it/s]

→ 1000 Phase 3: finalize:  10%|▉         | 40/411 [00:03<00:30, 12.22it/s]

→ 1000 Phase 3: finalize:  10%|█         | 42/411 [00:03<00:30, 12.24it/s]

→ 1000 Phase 3: finalize:  11%|█         | 44/411 [00:03<00:29, 12.24it/s]

→ 1000 Phase 3: finalize:  11%|█         | 46/411 [00:03<00:29, 12.24it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 48/411 [00:03<00:29, 12.25it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 50/411 [00:04<00:29, 12.23it/s]

→ 1000 Phase 3: finalize:  13%|█▎        | 52/411 [00:04<00:29, 12.25it/s]

→ 1000 Phase 3: finalize:  13%|█▎        | 54/411 [00:04<00:29, 12.26it/s]

→ 1000 Phase 3: finalize:  14%|█▎        | 56/411 [00:04<00:28, 12.25it/s]

→ 1000 Phase 3: finalize:  14%|█▍        | 58/411 [00:04<00:28, 12.24it/s]

→ 1000 Phase 3: finalize:  15%|█▍        | 60/411 [00:04<00:28, 12.24it/s]

→ 1000 Phase 3: finalize:  15%|█▌        | 62/411 [00:05<00:28, 12.25it/s]

→ 1000 Phase 3: finalize:  16%|█▌        | 64/411 [00:05<00:28, 12.27it/s]

→ 1000 Phase 3: finalize:  16%|█▌        | 66/411 [00:05<00:28, 12.28it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 68/411 [00:05<00:27, 12.31it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 70/411 [00:05<00:27, 12.34it/s]

→ 1000 Phase 3: finalize:  18%|█▊        | 72/411 [00:05<00:27, 12.36it/s]

→ 1000 Phase 3: finalize:  18%|█▊        | 74/411 [00:06<00:27, 12.40it/s]

→ 1000 Phase 3: finalize:  18%|█▊        | 76/411 [00:06<00:26, 12.42it/s]

→ 1000 Phase 3: finalize:  19%|█▉        | 78/411 [00:06<00:26, 12.45it/s]

→ 1000 Phase 3: finalize:  19%|█▉        | 80/411 [00:06<00:26, 12.50it/s]

→ 1000 Phase 3: finalize:  20%|█▉        | 82/411 [00:06<00:26, 12.53it/s]

→ 1000 Phase 3: finalize:  20%|██        | 84/411 [00:06<00:26, 12.54it/s]

→ 1000 Phase 3: finalize:  21%|██        | 86/411 [00:06<00:25, 12.54it/s]

→ 1000 Phase 3: finalize:  21%|██▏       | 88/411 [00:07<00:25, 12.55it/s]

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→ 1000 Phase 3: finalize:  23%|██▎       | 96/411 [00:07<00:24, 12.62it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 98/411 [00:07<00:24, 12.63it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 100/411 [00:08<00:24, 12.64it/s]

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→ 1000 Phase 3: finalize:  31%|███       | 126/411 [00:10<00:22, 12.62it/s]

→ 1000 Phase 3: finalize:  31%|███       | 128/411 [00:10<00:22, 12.62it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 130/411 [00:10<00:22, 12.61it/s]

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→ 1000 Phase 3: finalize:  33%|███▎      | 134/411 [00:10<00:21, 12.65it/s]

→ 1000 Phase 3: finalize:  33%|███▎      | 136/411 [00:10<00:21, 12.63it/s]

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Processing Rigs: 100%|██████████| 2/2 [15:03<00:00, 452.10s/it]
Processing Rigs: 100%|██████████| 2/2 [15:03<00:00, 452.00s/it]
[💾] Saved RigFrameDataset to /working/MDC027_W031_2025-03-24/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 744 frames from 2 rigs to /working/MDC027_W031_2025-03-24/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC027_W031_2025-03-24/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 500: 100 frames selected from 333
[📋] 1000: 100 frames selected from 411
[💾] Saved RigFrameDataset to /working/MDC027_W031_2025-03-24/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC027_W031_2025-03-24/calibration/debug/1_digitized/rig_frames.json

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

-> Calculating the casing center ...
[INFO] Using 40 total sampled bright frames

Computing max image from bright frames:   0%|          | 0/40 [00:00<?, ?it/s]
Computing max image from bright frames:  18%|█▊        | 7/40 [00:00<00:00, 63.62it/s]
Computing max image from bright frames:  38%|███▊      | 15/40 [00:00<00:00, 70.63it/s]
Computing max image from bright frames:  57%|█████▊    | 23/40 [00:00<00:00, 73.46it/s]
Computing max image from bright frames:  78%|███████▊  | 31/40 [00:00<00:00, 74.56it/s]
Computing max image from bright frames:  98%|█████████▊| 39/40 [00:00<00:00, 75.21it/s]
                                                                                       
[INFO] Computed max image from 40 bright frames
[INFO] Corner median intensity: 23, black threshold: 69
[INFO] Found 4792 casing boundary candidate points
[RESULT] Detected casing: center=(1021, 747), radius=839, inliers=2964/4792

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Brute | Start: {'fx': 500.0} (0.006) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  25%|██▌       | 25/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.004 | Best: {'fx': 497.98} (0.004):  25%|██▌       | 25/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.000 | Best: {'fx': 497.98} (0.004):  26%|██▌       | 26/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.001 | Best: {'fx': 497.98} (0.004):  27%|██▋       | 27/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.002 | Best: {'fx': 497.98} (0.004):  28%|██▊       | 28/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.034 | Best: {'fx': 519.192} (0.034):  29%|██▉       | 29/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.056 | Best: {'fx': 526.263} (0.056):  30%|███       | 30/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.029 | Best: {'fx': 526.263} (0.056):  31%|███       | 31/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.011 | Best: {'fx': 526.263} (0.056):  32%|███▏      | 32/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.056 | Best: {'fx': 526.263} (0.056):  33%|███▎      | 33/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.017 | Best: {'fx': 526.263} (0.056):  34%|███▍      | 34/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.038 | Best: {'fx': 526.263} (0.056):  35%|███▌      | 35/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.025 | Best: {'fx': 526.263} (0.056):  36%|███▌      | 36/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.019 | Best: {'fx': 526.263} (0.056):  37%|███▋      | 37/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.021 | Best: {'fx': 526.263} (0.056):  38%|███▊      | 38/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.016 | Best: {'fx': 526.263} (0.056):  39%|███▉      | 39/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.017 | Best: {'fx': 526.263} (0.056):  40%|████      | 40/100 [00:00<00:00, 78.73it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.017 | Best: {'fx': 526.263} (0.056):  41%|████      | 41/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.015 | Best: {'fx': 526.263} (0.056):  41%|████      | 41/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.013 | Best: {'fx': 526.263} (0.056):  42%|████▏     | 42/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.014 | Best: {'fx': 526.263} (0.056):  43%|████▎     | 43/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.012 | Best: {'fx': 526.263} (0.056):  44%|████▍     | 44/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.013 | Best: {'fx': 526.263} (0.056):  45%|████▌     | 45/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.011 | Best: {'fx': 526.263} (0.056):  46%|████▌     | 46/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.011 | Best: {'fx': 526.263} (0.056):  47%|████▋     | 47/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.011 | Best: {'fx': 526.263} (0.056):  48%|████▊     | 48/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.012 | Best: {'fx': 526.263} (0.056):  49%|████▉     | 49/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.012 | Best: {'fx': 526.263} (0.056):  50%|█████     | 50/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  51%|█████     | 51/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  52%|█████▏    | 52/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.011 | Best: {'fx': 526.263} (0.056):  53%|█████▎    | 53/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.011 | Best: {'fx': 526.263} (0.056):  54%|█████▍    | 54/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  55%|█████▌    | 55/100 [00:00<00:00, 105.01it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  56%|█████▌    | 56/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  56%|█████▌    | 56/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  57%|█████▋    | 57/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  58%|█████▊    | 58/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  59%|█████▉    | 59/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  60%|██████    | 60/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.010 | Best: {'fx': 526.263} (0.056):  61%|██████    | 61/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  62%|██████▏   | 62/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  63%|██████▎   | 63/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  64%|██████▍   | 64/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  65%|██████▌   | 65/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  66%|██████▌   | 66/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  67%|██████▋   | 67/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  68%|██████▊   | 68/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  69%|██████▉   | 69/100 [00:00<00:00, 116.82it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  70%|███████   | 70/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  70%|███████   | 70/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  71%|███████   | 71/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  72%|███████▏  | 72/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  73%|███████▎  | 73/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  74%|███████▍  | 74/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  75%|███████▌  | 75/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  76%|███████▌  | 76/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  77%|███████▋  | 77/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  78%|███████▊  | 78/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  79%|███████▉  | 79/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  80%|████████  | 80/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  81%|████████  | 81/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  82%|████████▏ | 82/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  83%|████████▎ | 83/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  84%|████████▍ | 84/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  85%|████████▌ | 85/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  86%|████████▌ | 86/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  87%|████████▋ | 87/100 [00:00<00:00, 119.18it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  88%|████████▊ | 88/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  88%|████████▊ | 88/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  89%|████████▉ | 89/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  90%|█████████ | 90/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  91%|█████████ | 91/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  92%|█████████▏| 92/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  93%|█████████▎| 93/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  94%|█████████▍| 94/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  95%|█████████▌| 95/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  96%|█████████▌| 96/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  97%|█████████▋| 97/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  98%|█████████▊| 98/100 [00:00<00:00, 136.80it/s]
Brute | Start: {'fx': 500.0} (0.006) | Current: 0.009 | Best: {'fx': 526.263} (0.056):  99%|█████████▉| 99/100 [00:00<00:00, 136.80it/s]
                                                                                                                                        

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.007 | Best: {'fx': 501.263} (0.007):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.007 | Best: {'fx': 501.263} (0.007):   2%|▏         | 1/50 [00:00<00:06,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.007 | Best: {'fx': 502.283} (0.007):   2%|▏         | 1/50 [00:00<00:06,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.008 | Best: {'fx': 503.303} (0.008):   4%|▍         | 2/50 [00:00<00:06,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.010 | Best: {'fx': 504.324} (0.010):   6%|▌         | 3/50 [00:00<00:05,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.011 | Best: {'fx': 505.344} (0.011):   8%|▊         | 4/50 [00:00<00:05,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.013 | Best: {'fx': 508.405} (0.013):  10%|█         | 5/50 [00:00<00:05,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.012 | Best: {'fx': 508.405} (0.013):  12%|█▏        | 6/50 [00:00<00:05,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.012 | Best: {'fx': 508.405} (0.013):  14%|█▍        | 7/50 [00:00<00:05,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.015 | Best: {'fx': 509.426} (0.015):  16%|█▌        | 8/50 [00:00<00:05,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.017 | Best: {'fx': 511.467} (0.017):  18%|█▊        | 9/50 [00:00<00:05,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.020 | Best: {'fx': 513.508} (0.020):  20%|██        | 10/50 [00:00<00:05,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.016 | Best: {'fx': 513.508} (0.020):  22%|██▏       | 11/50 [00:00<00:04,  7.86it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.016 | Best: {'fx': 513.508} (0.020):  24%|██▍       | 12/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.017 | Best: {'fx': 513.508} (0.020):  24%|██▍       | 12/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.023 | Best: {'fx': 514.528} (0.023):  26%|██▌       | 13/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.031 | Best: {'fx': 517.589} (0.031):  28%|██▊       | 14/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.029 | Best: {'fx': 517.589} (0.031):  30%|███       | 15/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.024 | Best: {'fx': 517.589} (0.031):  32%|███▏      | 16/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.033 | Best: {'fx': 518.61} (0.033):  34%|███▍      | 17/50 [00:00<00:00, 61.44it/s] 
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.035 | Best: {'fx': 519.63} (0.035):  36%|███▌      | 18/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.038 | Best: {'fx': 520.65} (0.038):  38%|███▊      | 19/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.045 | Best: {'fx': 523.712} (0.045):  40%|████      | 20/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.038 | Best: {'fx': 523.712} (0.045):  42%|████▏     | 21/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.058 | Best: {'fx': 526.773} (0.058):  44%|████▍     | 22/50 [00:00<00:00, 61.44it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.058 | Best: {'fx': 526.773} (0.058):  46%|████▌     | 23/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.042 | Best: {'fx': 526.773} (0.058):  46%|████▌     | 23/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.053 | Best: {'fx': 526.773} (0.058):  48%|████▊     | 24/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.049 | Best: {'fx': 526.773} (0.058):  50%|█████     | 25/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.061 | Best: {'fx': 528.814} (0.061):  52%|█████▏    | 26/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.060 | Best: {'fx': 528.814} (0.061):  54%|█████▍    | 27/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.055 | Best: {'fx': 528.814} (0.061):  56%|█████▌    | 28/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.060 | Best: {'fx': 528.814} (0.061):  58%|█████▊    | 29/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.054 | Best: {'fx': 528.814} (0.061):  60%|██████    | 30/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.061 | Best: {'fx': 528.814} (0.061):  62%|██████▏   | 31/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.051 | Best: {'fx': 528.814} (0.061):  64%|██████▍   | 32/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.054 | Best: {'fx': 528.814} (0.061):  66%|██████▌   | 33/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.047 | Best: {'fx': 528.814} (0.061):  68%|██████▊   | 34/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.045 | Best: {'fx': 528.814} (0.061):  70%|███████   | 35/50 [00:00<00:00, 77.18it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.045 | Best: {'fx': 528.814} (0.061):  72%|███████▏  | 36/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.043 | Best: {'fx': 528.814} (0.061):  72%|███████▏  | 36/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.035 | Best: {'fx': 528.814} (0.061):  74%|███████▍  | 37/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.033 | Best: {'fx': 528.814} (0.061):  76%|███████▌  | 38/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.042 | Best: {'fx': 528.814} (0.061):  78%|███████▊  | 39/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.031 | Best: {'fx': 528.814} (0.061):  80%|████████  | 40/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.039 | Best: {'fx': 528.814} (0.061):  82%|████████▏ | 41/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.035 | Best: {'fx': 528.814} (0.061):  84%|████████▍ | 42/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.031 | Best: {'fx': 528.814} (0.061):  86%|████████▌ | 43/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.036 | Best: {'fx': 528.814} (0.061):  88%|████████▊ | 44/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.029 | Best: {'fx': 528.814} (0.061):  90%|█████████ | 45/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.027 | Best: {'fx': 528.814} (0.061):  92%|█████████▏| 46/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.030 | Best: {'fx': 528.814} (0.061):  94%|█████████▍| 47/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.028 | Best: {'fx': 528.814} (0.061):  96%|█████████▌| 48/50 [00:00<00:00, 95.55it/s]
Brute | Start: {'fx': 526.263} (0.056) | Current: 0.026 | Best: {'fx': 528.814} (0.061):  98%|█████████▊| 49/50 [00:00<00:00, 95.55it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 528.8136466707896
    px: 1021.0
    py: 747.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


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

Initial score: 69.4645: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 69.4645, picklable_objective(x0) = 69.4950

Best score: 69.4950: : 0iter [00:01, ?iter/s] 
Best score: 69.4950: : 1iter [00:01,  1.86s/iter]
Best score: 69.4950: : 1iter [00:02,  1.86s/iter]
Best score: 69.4950: : 2iter [00:02,  1.15iter/s]
Best score: 69.4950: : 2iter [00:02,  1.15iter/s]
Best score: 69.4950: : 3iter [00:02,  1.15iter/s]
Best score: 69.4950: : 4iter [00:02,  1.15iter/s]
Best score: 69.4950: : 5iter [00:02,  3.57iter/s]
Best score: 69.4950: : 5iter [00:02,  3.57iter/s]
Best score: 69.4950: : 6iter [00:02,  3.57iter/s]
Best score: 69.4950: : 7iter [00:02,  3.57iter/s]
Best score: 69.4950: : 8iter [00:02,  6.20iter/s]
Best score: 69.4950: : 8iter [00:02,  6.20iter/s]
Best score: 69.4950: : 9iter [00:02,  6.20iter/s]
Best score: 69.4950: : 10iter [00:02,  6.20iter/s]
Best score: 69.4950: : 11iter [00:02,  8.82iter/s]
Best score: 69.4950: : 11iter [00:02,  8.82iter/s]
Best score: 69.4950: : 12iter [00:02,  8.82iter/s]
Best score: 69.4950: : 13iter [00:02,  8.82iter/s]
Best score: 69.4950: : 14iter [00:02, 11.32iter/s]
Best score: 69.4950: : 14iter [00:02, 11.32iter/s]
Best score: 69.4950: : 15iter [00:02, 11.32iter/s]
Best score: 69.4950: : 16iter [00:02, 11.32iter/s]
Best score: 69.4950: : 17iter [00:02, 13.62iter/s]
Best score: 69.4950: : 17iter [00:02, 13.62iter/s]
Best score: 69.4950: : 18iter [00:02, 13.62iter/s]
Best score: 69.4950: : 19iter [00:02, 13.62iter/s]
Best score: 69.4950: : 20iter [00:02, 15.45iter/s]
Best score: 69.4950: : 20iter [00:02, 15.45iter/s]
Best score: 69.4950: : 21iter [00:02, 15.45iter/s]
Best score: 69.4950: : 22iter [00:03, 15.45iter/s]
Best score: 69.4950: : 23iter [00:03, 17.11iter/s]
Best score: 69.4950: : 23iter [00:03, 17.11iter/s]
Best score: 69.4950: : 24iter [00:03, 17.11iter/s]
Best score: 69.4950: : 25iter [00:03, 17.11iter/s]
Best score: 69.4950: : 26iter [00:03, 18.35iter/s]
Best score: 69.4950: : 26iter [00:03, 18.35iter/s]
Best score: 69.4950: : 27iter [00:03, 18.35iter/s]
Best score: 69.4950: : 28iter [00:03, 18.35iter/s]
Best score: 69.4950: : 29iter [00:03, 19.29iter/s]
Best score: 36.8510: : 29iter [00:03, 19.29iter/s]
Best score: 36.8510: : 30iter [00:03, 19.29iter/s]
Best score: 36.8510: : 31iter [00:03, 19.29iter/s]
Best score: 36.8510: : 32iter [00:03, 19.88iter/s]
Best score: 36.8510: : 32iter [00:03, 19.88iter/s]
Best score: 36.8510: : 33iter [00:03, 19.88iter/s]
Best score: 36.8510: : 34iter [00:03, 19.88iter/s]
Best score: 36.8510: : 35iter [00:03, 20.51iter/s]
Best score: 36.8510: : 35iter [00:03, 20.51iter/s]
Best score: 36.8510: : 36iter [00:03, 20.51iter/s]
Best score: 36.8510: : 37iter [00:03, 20.51iter/s]
Best score: 36.8510: : 38iter [00:03, 20.93iter/s]
Best score: 36.8510: : 38iter [00:03, 20.93iter/s]
Best score: 28.6605: : 39iter [00:03, 20.93iter/s]
Best score: 28.6605: : 40iter [00:03, 20.93iter/s]
Best score: 28.6605: : 41iter [00:03, 20.99iter/s]
Best score: 28.6605: : 41iter [00:03, 20.99iter/s]
Best score: 28.6605: : 42iter [00:03, 20.99iter/s]
Best score: 28.6605: : 43iter [00:03, 20.99iter/s]
Best score: 28.6605: : 44iter [00:03, 21.29iter/s]
Best score: 28.6605: : 44iter [00:04, 21.29iter/s]
Best score: 28.6605: : 45iter [00:04, 21.29iter/s]
Best score: 28.6605: : 46iter [00:04, 21.29iter/s]
Best score: 28.6605: : 47iter [00:04, 21.53iter/s]
Best score: 28.6605: : 47iter [00:04, 21.53iter/s]
Best score: 28.6605: : 48iter [00:04, 21.53iter/s]
[ITER 50] Best: 28.6605
[PARAMS] Current best parameters:
  fx: 546.7632
  fy: 549.2863
  px: 1014.8527
  py: 754.9097
  k1: 0.00503468
  k2: -0.00365355
  k3: -0.01226010
  k4: 0.00415525
  p1: -0.00174972
  p2: -0.00484334
  p3: -0.00359109
  p4: -0.00054304
  scale: 2.9432
  rotation: -0.0140

Best score: 28.6605: : 49iter [00:04, 21.53iter/s]
Best score: 28.6605: : 50iter [00:04, 21.44iter/s]
Best score: 28.6605: : 50iter [00:04, 21.44iter/s]
Best score: 28.6605: : 51iter [00:04, 21.44iter/s]
Best score: 28.6605: : 52iter [00:04, 21.44iter/s]
Best score: 28.6605: : 53iter [00:04, 21.63iter/s]
Best score: 28.6605: : 53iter [00:04, 21.63iter/s]
Best score: 28.6605: : 54iter [00:04, 21.63iter/s]
Best score: 28.6605: : 55iter [00:04, 21.63iter/s]
Best score: 28.6605: : 56iter [00:04, 21.76iter/s]
Best score: 28.6605: : 56iter [00:04, 21.76iter/s]
Best score: 28.6605: : 57iter [00:04, 21.76iter/s]
Best score: 28.6605: : 58iter [00:04, 21.76iter/s]
Best score: 28.6605: : 59iter [00:04, 21.89iter/s]
Best score: 12.7973: : 59iter [00:04, 21.89iter/s]
Best score: 12.7973: : 60iter [00:04, 21.89iter/s]
Best score: 12.7973: : 61iter [00:04, 21.89iter/s]
Best score: 12.7973: : 62iter [00:04, 21.71iter/s]
Best score: 12.7973: : 62iter [00:04, 21.71iter/s]
Best score: 12.7973: : 63iter [00:04, 21.71iter/s]
Best score: 12.7973: : 64iter [00:04, 21.71iter/s]
Best score: 12.7973: : 65iter [00:04, 21.76iter/s]
Best score: 12.7973: : 65iter [00:04, 21.76iter/s]
Best score: 12.7973: : 66iter [00:05, 21.76iter/s]
Best score: 12.7973: : 67iter [00:05, 21.76iter/s]
Best score: 12.7973: : 68iter [00:05, 21.77iter/s]
Best score: 12.7973: : 68iter [00:05, 21.77iter/s]
Best score: 12.7973: : 69iter [00:05, 21.77iter/s]
Best score: 12.7973: : 70iter [00:05, 21.77iter/s]
Best score: 12.7973: : 71iter [00:05, 21.60iter/s]
Best score: 12.7973: : 71iter [00:05, 21.60iter/s]
Best score: 12.7973: : 72iter [00:05, 21.60iter/s]
Best score: 12.7973: : 73iter [00:05, 21.60iter/s]
Best score: 12.7973: : 74iter [00:05, 21.73iter/s]
Best score: 12.7973: : 74iter [00:05, 21.73iter/s]
Best score: 12.7973: : 75iter [00:05, 21.73iter/s]
Best score: 12.7973: : 76iter [00:05, 21.73iter/s]
Best score: 12.7973: : 77iter [00:05, 21.83iter/s]
Best score: 12.7973: : 77iter [00:05, 21.83iter/s]
Best score: 12.7973: : 78iter [00:05, 21.83iter/s]
Best score: 7.7927: : 79iter [00:05, 21.83iter/s] 
Best score: 7.7927: : 80iter [00:05, 21.76iter/s]
Best score: 7.7927: : 80iter [00:05, 21.76iter/s]
Best score: 7.7927: : 81iter [00:05, 21.76iter/s]
Best score: 7.7927: : 82iter [00:05, 21.76iter/s]
Best score: 7.7927: : 83iter [00:05, 21.88iter/s]
Best score: 7.7927: : 83iter [00:05, 21.88iter/s]
Best score: 7.7927: : 84iter [00:05, 21.88iter/s]
Best score: 7.7927: : 85iter [00:05, 21.88iter/s]
Best score: 7.7927: : 86iter [00:05, 21.90iter/s]
Best score: 7.7927: : 86iter [00:05, 21.90iter/s]
Best score: 7.7927: : 87iter [00:05, 21.90iter/s]
Best score: 7.7927: : 88iter [00:06, 21.90iter/s]
Best score: 7.7927: : 89iter [00:06, 22.02iter/s]
Best score: 3.3689: : 89iter [00:06, 22.02iter/s]
Best score: 3.3689: : 90iter [00:06, 22.02iter/s]
Best score: 3.3689: : 91iter [00:06, 22.02iter/s]
Best score: 3.3689: : 92iter [00:06, 21.88iter/s]
Best score: 3.3689: : 92iter [00:06, 21.88iter/s]
Best score: 3.3689: : 93iter [00:06, 21.88iter/s]
Best score: 3.3689: : 94iter [00:06, 21.88iter/s]
Best score: 3.3689: : 95iter [00:06, 22.01iter/s]
Best score: 3.3689: : 95iter [00:06, 22.01iter/s]
Best score: 3.3689: : 96iter [00:06, 22.01iter/s]
Best score: 3.3689: : 97iter [00:06, 22.01iter/s]
Best score: 3.3689: : 98iter [00:06, 22.17iter/s]
Best score: 3.3689: : 98iter [00:06, 22.17iter/s]
[ITER 100] Best: 1.7548
[PARAMS] Current best parameters:
  fx: 542.0499
  fy: 542.3518
  px: 1020.5082
  py: 757.8267
  k1: 0.02102415
  k2: -0.00898174
  k3: -0.01120370
  k4: 0.00382567
  p1: 0.00771668
  p2: -0.00020781
  p3: -0.00539203
  p4: 0.00049059
  scale: 2.8791
  rotation: -0.2821

Best score: 1.7548: : 99iter [00:06, 22.17iter/s]
Best score: 1.7548: : 100iter [00:06, 22.17iter/s]
Best score: 1.7548: : 101iter [00:06, 21.99iter/s]
Best score: 1.7548: : 101iter [00:06, 21.99iter/s]
Best score: 1.7548: : 102iter [00:06, 21.99iter/s]
Best score: 1.7548: : 103iter [00:06, 21.99iter/s]
Best score: 1.7548: : 104iter [00:06, 22.09iter/s]
Best score: 1.7548: : 104iter [00:06, 22.09iter/s]
Best score: 1.7548: : 105iter [00:06, 22.09iter/s]
Best score: 1.7548: : 106iter [00:06, 22.09iter/s]
Best score: 1.7548: : 107iter [00:06, 22.16iter/s]
Best score: 1.7548: : 107iter [00:06, 22.16iter/s]
Best score: 1.7548: : 108iter [00:06, 22.16iter/s]
Best score: 1.6360: : 109iter [00:06, 22.16iter/s]
Best score: 1.6360: : 110iter [00:06, 22.02iter/s]
Best score: 1.6360: : 110iter [00:07, 22.02iter/s]
Best score: 1.6360: : 111iter [00:07, 22.02iter/s]
Best score: 1.6360: : 112iter [00:07, 22.02iter/s]
Best score: 1.6360: : 113iter [00:07, 22.12iter/s]
Best score: 1.6360: : 113iter [00:07, 22.12iter/s]
Best score: 1.6360: : 114iter [00:07, 22.12iter/s]
Best score: 1.6360: : 115iter [00:07, 22.12iter/s]
Best score: 1.6360: : 116iter [00:07, 22.17iter/s]
Best score: 1.6360: : 116iter [00:07, 22.17iter/s]
Best score: 1.6360: : 117iter [00:07, 22.17iter/s]
Best score: 1.6360: : 118iter [00:07, 22.17iter/s]
Best score: 1.6360: : 119iter [00:07, 22.22iter/s]
Best score: 0.7606: : 119iter [00:07, 22.22iter/s]
Best score: 0.7606: : 120iter [00:07, 22.22iter/s]
Best score: 0.7606: : 121iter [00:07, 22.22iter/s]
Best score: 0.7606: : 122iter [00:07, 21.99iter/s]
Best score: 0.7606: : 122iter [00:07, 21.99iter/s]
Best score: 0.7606: : 123iter [00:07, 21.99iter/s]
Best score: 0.7606: : 124iter [00:07, 21.99iter/s]
Best score: 0.7606: : 125iter [00:07, 22.10iter/s]
Best score: 0.7606: : 125iter [00:07, 22.10iter/s]
Best score: 0.7606: : 126iter [00:07, 22.10iter/s]
Best score: 0.7606: : 127iter [00:07, 22.10iter/s]
Best score: 0.7606: : 128iter [00:07, 22.12iter/s]
Best score: 0.7606: : 128iter [00:07, 22.12iter/s]
Best score: 0.6094: : 129iter [00:07, 22.12iter/s]
Best score: 0.6094: : 130iter [00:07, 22.12iter/s]
Best score: 0.6094: : 131iter [00:07, 21.91iter/s]
Best score: 0.6094: : 131iter [00:07, 21.91iter/s]
Best score: 0.6094: : 132iter [00:08, 21.91iter/s]
Best score: 0.6094: : 133iter [00:08, 21.91iter/s]
Best score: 0.6094: : 134iter [00:08, 21.98iter/s]
Best score: 0.6094: : 134iter [00:08, 21.98iter/s]
Best score: 0.6094: : 135iter [00:08, 21.98iter/s]
Best score: 0.6094: : 136iter [00:08, 21.98iter/s]
Best score: 0.6094: : 137iter [00:08, 22.00iter/s]
Best score: 0.6094: : 137iter [00:08, 22.00iter/s]
Best score: 0.6094: : 138iter [00:08, 22.00iter/s]
Best score: 0.4155: : 139iter [00:08, 22.00iter/s]
Best score: 0.4155: : 140iter [00:08, 21.88iter/s]
Best score: 0.4155: : 140iter [00:08, 21.88iter/s]
Best score: 0.4155: : 141iter [00:08, 21.88iter/s]
Best score: 0.4155: : 142iter [00:08, 21.88iter/s]
Best score: 0.4155: : 143iter [00:08, 22.03iter/s]
Best score: 0.4155: : 143iter [00:08, 22.03iter/s]
Best score: 0.4155: : 144iter [00:08, 22.03iter/s]
Best score: 0.4155: : 145iter [00:08, 22.03iter/s]
Best score: 0.4155: : 146iter [00:08, 22.10iter/s]
Best score: 0.4155: : 146iter [00:08, 22.10iter/s]
Best score: 0.4155: : 147iter [00:08, 22.10iter/s]
Best score: 0.4155: : 148iter [00:08, 22.10iter/s]
Best score: 0.4155: : 149iter [00:08, 22.08iter/s]
[ITER 150] Best: 0.3575
[PARAMS] Current best parameters:
  fx: 512.8399
  fy: 512.7483
  px: 1019.9179
  py: 752.9878
  k1: 0.04058629
  k2: -0.01372893
  k3: -0.00193133
  k4: 0.00099534
  p1: -0.00331201
  p2: -0.00116064
  p3: -0.00132888
  p4: 0.00130030
  scale: 2.9515
  rotation: -0.1824

Best score: 0.3575: : 149iter [00:08, 22.08iter/s]
Best score: 0.3575: : 150iter [00:08, 22.08iter/s]
Best score: 0.3575: : 151iter [00:08, 22.08iter/s]
Best score: 0.3575: : 152iter [00:08, 21.83iter/s]
Best score: 0.3575: : 152iter [00:08, 21.83iter/s]
Best score: 0.3575: : 153iter [00:08, 21.83iter/s]
Best score: 0.3575: : 154iter [00:09, 21.83iter/s]
Best score: 0.3575: : 155iter [00:09, 21.92iter/s]
Best score: 0.3575: : 155iter [00:09, 21.92iter/s]
Best score: 0.3575: : 156iter [00:09, 21.92iter/s]
Best score: 0.3575: : 157iter [00:09, 21.92iter/s]
Best score: 0.3575: : 158iter [00:09, 21.96iter/s]
Best score: 0.3575: : 158iter [00:09, 21.96iter/s]
Best score: 0.3218: : 159iter [00:09, 21.96iter/s]
Best score: 0.3218: : 160iter [00:09, 21.96iter/s]
Best score: 0.3218: : 161iter [00:09, 21.76iter/s]
Best score: 0.3218: : 161iter [00:09, 21.76iter/s]
Best score: 0.3218: : 162iter [00:09, 21.76iter/s]
Best score: 0.3218: : 163iter [00:09, 21.76iter/s]
Best score: 0.3218: : 164iter [00:09, 21.84iter/s]
Best score: 0.3218: : 164iter [00:09, 21.84iter/s]
Best score: 0.3218: : 165iter [00:09, 21.84iter/s]
Best score: 0.3218: : 166iter [00:09, 21.84iter/s]
Best score: 0.3218: : 167iter [00:09, 21.94iter/s]
Best score: 0.3218: : 167iter [00:09, 21.94iter/s]
Best score: 0.3218: : 168iter [00:09, 21.94iter/s]
Best score: 0.2947: : 169iter [00:09, 21.94iter/s]
Best score: 0.2947: : 170iter [00:09, 21.78iter/s]
Best score: 0.2947: : 170iter [00:09, 21.78iter/s]
Best score: 0.2947: : 171iter [00:09, 21.78iter/s]
Best score: 0.2947: : 172iter [00:09, 21.78iter/s]
Best score: 0.2947: : 173iter [00:09, 21.88iter/s]
Best score: 0.2947: : 173iter [00:09, 21.88iter/s]
Best score: 0.2947: : 174iter [00:09, 21.88iter/s]
Best score: 0.2947: : 175iter [00:09, 21.88iter/s]
Best score: 0.2947: : 176iter [00:09, 21.99iter/s]
Best score: 0.2947: : 176iter [00:10, 21.99iter/s]
Best score: 0.2947: : 177iter [00:10, 21.99iter/s]
Best score: 0.2947: : 178iter [00:10, 21.99iter/s]
Best score: 0.2947: : 179iter [00:10, 22.07iter/s]
Best score: 0.2522: : 179iter [00:10, 22.07iter/s]
Best score: 0.2522: : 180iter [00:10, 22.07iter/s]
Best score: 0.2522: : 181iter [00:10, 22.07iter/s]
Best score: 0.2522: : 182iter [00:10, 21.76iter/s]
Best score: 0.2522: : 182iter [00:10, 21.76iter/s]
Best score: 0.2522: : 183iter [00:10, 21.76iter/s]
Best score: 0.2522: : 184iter [00:10, 21.76iter/s]
Best score: 0.2522: : 185iter [00:10, 21.88iter/s]
Best score: 0.2522: : 185iter [00:10, 21.88iter/s]
Best score: 0.2522: : 186iter [00:10, 21.88iter/s]
Best score: 0.2522: : 187iter [00:10, 21.88iter/s]
Best score: 0.2522: : 188iter [00:10, 21.93iter/s]
Best score: 0.2522: : 188iter [00:10, 21.93iter/s]
Best score: 0.2522: : 189iter [00:10, 21.93iter/s]
Best score: 0.2522: : 190iter [00:10, 21.93iter/s]
Best score: 0.2522: : 191iter [00:10, 21.76iter/s]
Best score: 0.2522: : 191iter [00:10, 21.76iter/s]
Best score: 0.2522: : 192iter [00:10, 21.76iter/s]
Best score: 0.2522: : 193iter [00:10, 21.76iter/s]
Best score: 0.2522: : 194iter [00:10, 21.87iter/s]
Best score: 0.2522: : 194iter [00:10, 21.87iter/s]
Best score: 0.2522: : 195iter [00:10, 21.87iter/s]
Best score: 0.2522: : 196iter [00:10, 21.87iter/s]
Best score: 0.2522: : 197iter [00:10, 21.98iter/s]
Best score: 0.2522: : 197iter [00:10, 21.98iter/s]
Best score: 0.2522: : 198iter [00:11, 21.98iter/s]
[ITER 200] Best: 0.2322
[PARAMS] Current best parameters:
  fx: 516.1761
  fy: 516.1196
  px: 1020.5906
  py: 756.1783
  k1: 0.03389385
  k2: -0.01784797
  k3: 0.00567832
  k4: -0.00138719
  p1: 0.00402176
  p2: 0.00088316
  p3: -0.00259598
  p4: 0.00028540
  scale: 2.9607
  rotation: -0.2154

Best score: 0.2322: : 199iter [00:11, 21.98iter/s]
Best score: 0.2322: : 200iter [00:11, 21.83iter/s]
Best score: 0.2322: : 200iter [00:11, 21.83iter/s]
Best score: 0.2322: : 201iter [00:11, 21.83iter/s]
Best score: 0.2322: : 202iter [00:11, 21.83iter/s]
Best score: 0.2322: : 203iter [00:11, 21.95iter/s]
Best score: 0.2322: : 203iter [00:11, 21.95iter/s]
Best score: 0.2322: : 204iter [00:11, 21.95iter/s]
Best score: 0.2322: : 205iter [00:11, 21.95iter/s]
Best score: 0.2322: : 206iter [00:11, 22.02iter/s]
Best score: 0.2322: : 206iter [00:11, 22.02iter/s]
Best score: 0.2322: : 207iter [00:11, 22.02iter/s]
Best score: 0.2322: : 208iter [00:11, 22.02iter/s]
Best score: 0.2322: : 209iter [00:11, 22.00iter/s]
Best score: 0.2288: : 209iter [00:11, 22.00iter/s]
Best score: 0.2288: : 210iter [00:11, 22.00iter/s]
Best score: 0.2288: : 211iter [00:11, 22.00iter/s]
Best score: 0.2288: : 212iter [00:11, 21.81iter/s]
Best score: 0.2288: : 212iter [00:11, 21.81iter/s]
Best score: 0.2288: : 213iter [00:11, 21.81iter/s]
Best score: 0.2288: : 214iter [00:11, 21.81iter/s]
Best score: 0.2288: : 215iter [00:11, 21.92iter/s]
Best score: 0.2288: : 215iter [00:11, 21.92iter/s]
Best score: 0.2288: : 216iter [00:11, 21.92iter/s]
Best score: 0.2288: : 217iter [00:11, 21.92iter/s]
Best score: 0.2288: : 218iter [00:11, 21.98iter/s]
Best score: 0.2288: : 218iter [00:11, 21.98iter/s]
Best score: 0.2288: : 219iter [00:11, 21.98iter/s]
Best score: 0.2288: : 220iter [00:12, 21.98iter/s]
Best score: 0.2288: : 221iter [00:12, 21.83iter/s]
Best score: 0.2288: : 221iter [00:12, 21.83iter/s]
Best score: 0.2288: : 222iter [00:12, 21.83iter/s]
Best score: 0.2288: : 223iter [00:12, 21.83iter/s]
Best score: 0.2288: : 224iter [00:12, 18.13iter/s]
Best score: 0.2288: : 224iter [00:12, 18.13iter/s]
Best score: 0.2288: : 225iter [00:12, 18.13iter/s]
Best score: 0.2288: : 226iter [00:12, 18.13iter/s]
Best score: 0.2288: : 227iter [00:12, 19.18iter/s]
Best score: 0.2288: : 227iter [00:12, 19.18iter/s]
Best score: 0.2288: : 228iter [00:12, 19.18iter/s]
Best score: 0.2279: : 229iter [00:12, 19.18iter/s]
Best score: 0.2279: : 230iter [00:12, 19.80iter/s]
Best score: 0.2279: : 230iter [00:12, 19.80iter/s]
Best score: 0.2279: : 231iter [00:12, 19.80iter/s]
Best score: 0.2279: : 232iter [00:12, 19.80iter/s]
Best score: 0.2279: : 233iter [00:12, 20.44iter/s]
Best score: 0.2279: : 233iter [00:12, 20.44iter/s]
Best score: 0.2279: : 234iter [00:12, 20.44iter/s]
Best score: 0.2279: : 235iter [00:12, 20.44iter/s]
Best score: 0.2279: : 236iter [00:12, 20.91iter/s]
Best score: 0.2279: : 236iter [00:12, 20.91iter/s]
Best score: 0.2279: : 237iter [00:12, 20.91iter/s]
Best score: 0.2279: : 238iter [00:12, 20.91iter/s]
Best score: 0.2279: : 239iter [00:12, 21.27iter/s]
Best score: 0.2211: : 239iter [00:13, 21.27iter/s]
Best score: 0.2211: : 240iter [00:13, 21.27iter/s]
Best score: 0.2211: : 241iter [00:13, 21.27iter/s]
Best score: 0.2211: : 242iter [00:13, 21.28iter/s]
Best score: 0.2211: : 242iter [00:13, 21.28iter/s]
Best score: 0.2211: : 243iter [00:13, 21.28iter/s]
Best score: 0.2211: : 244iter [00:13, 21.28iter/s]
Best score: 0.2211: : 245iter [00:13, 21.55iter/s]
Best score: 0.2211: : 245iter [00:13, 21.55iter/s]
Best score: 0.2211: : 246iter [00:13, 21.55iter/s]
Best score: 0.2211: : 247iter [00:13, 21.55iter/s]
Best score: 0.2211: : 248iter [00:13, 21.76iter/s]
Best score: 0.2211: : 248iter [00:13, 21.76iter/s]
[ITER 250] Best: 0.2211
[PARAMS] Current best parameters:
  fx: 518.5485
  fy: 518.6006
  px: 1020.0522
  py: 755.7140
  k1: 0.03376656
  k2: -0.01754984
  k3: 0.00310564
  k4: -0.00038491
  p1: 0.00288025
  p2: -0.00019099
  p3: -0.00238760
  p4: 0.00034856
  scale: 2.9554
  rotation: -0.1922

Best score: 0.2211: : 249iter [00:13, 21.76iter/s]
Best score: 0.2211: : 250iter [00:13, 21.76iter/s]
Best score: 0.2211: : 251iter [00:13, 21.69iter/s]
Best score: 0.2211: : 251iter [00:13, 21.69iter/s]
Best score: 0.2211: : 252iter [00:13, 21.69iter/s]
Best score: 0.2211: : 253iter [00:13, 21.69iter/s]
Best score: 0.2211: : 254iter [00:13, 21.81iter/s]
Best score: 0.2211: : 254iter [00:13, 21.81iter/s]
Best score: 0.2211: : 255iter [00:13, 21.81iter/s]
Best score: 0.2211: : 256iter [00:13, 21.81iter/s]
Best score: 0.2211: : 257iter [00:13, 21.87iter/s]
Best score: 0.2211: : 257iter [00:13, 21.87iter/s]
Best score: 0.2211: : 258iter [00:13, 21.87iter/s]
Best score: 0.2174: : 259iter [00:13, 21.87iter/s]
Best score: 0.2174: : 260iter [00:13, 21.68iter/s]
Best score: 0.2174: : 260iter [00:13, 21.68iter/s]
Best score: 0.2174: : 261iter [00:14, 21.68iter/s]
Best score: 0.2174: : 262iter [00:14, 21.68iter/s]
Best score: 0.2174: : 263iter [00:14, 21.81iter/s]
Best score: 0.2174: : 263iter [00:14, 21.81iter/s]
Best score: 0.2174: : 264iter [00:14, 21.81iter/s]
Best score: 0.2174: : 265iter [00:14, 21.81iter/s]
Best score: 0.2174: : 266iter [00:14, 21.90iter/s]
Best score: 0.2174: : 266iter [00:14, 21.90iter/s]
Best score: 0.2174: : 267iter [00:14, 21.90iter/s]
Best score: 0.2174: : 268iter [00:14, 21.90iter/s]
Best score: 0.2174: : 269iter [00:14, 21.97iter/s]
Best score: 0.2111: : 269iter [00:14, 21.97iter/s]
Best score: 0.2111: : 270iter [00:14, 21.97iter/s]
Best score: 0.2111: : 271iter [00:14, 21.97iter/s]
Best score: 0.2111: : 272iter [00:14, 21.80iter/s]
Best score: 0.2111: : 272iter [00:14, 21.80iter/s]
Best score: 0.2111: : 273iter [00:14, 21.80iter/s]
Best score: 0.2111: : 274iter [00:14, 21.80iter/s]
Best score: 0.2111: : 275iter [00:14, 21.90iter/s]
Best score: 0.2111: : 275iter [00:14, 21.90iter/s]
Best score: 0.2111: : 276iter [00:14, 21.90iter/s]
Best score: 0.2111: : 277iter [00:14, 21.90iter/s]
Best score: 0.2111: : 278iter [00:14, 21.95iter/s]
Best score: 0.2111: : 278iter [00:14, 21.95iter/s]
Best score: 0.2111: : 279iter [00:14, 21.95iter/s]
Best score: 0.2111: : 280iter [00:14, 21.95iter/s]
Best score: 0.2111: : 281iter [00:14, 21.77iter/s]
Best score: 0.2111: : 281iter [00:14, 21.77iter/s]
Best score: 0.2111: : 282iter [00:14, 21.77iter/s]
Best score: 0.2111: : 283iter [00:15, 21.77iter/s]
Best score: 0.2111: : 284iter [00:15, 21.85iter/s]
Best score: 0.2111: : 284iter [00:15, 21.85iter/s]
Best score: 0.2111: : 285iter [00:15, 21.85iter/s]
Best score: 0.2111: : 286iter [00:15, 21.85iter/s]
Best score: 0.2111: : 287iter [00:15, 21.96iter/s]
Best score: 0.2111: : 287iter [00:15, 21.96iter/s]
Best score: 0.2111: : 288iter [00:15, 21.96iter/s]
Best score: 0.2111: : 289iter [00:15, 21.96iter/s]
Best score: 0.2111: : 290iter [00:15, 21.74iter/s]
Best score: 0.2111: : 290iter [00:15, 21.74iter/s]
Best score: 0.2111: : 291iter [00:15, 21.74iter/s]
Best score: 0.2111: : 292iter [00:15, 21.74iter/s]
Best score: 0.2111: : 293iter [00:15, 21.83iter/s]
Best score: 0.2111: : 293iter [00:15, 21.83iter/s]
Best score: 0.2111: : 294iter [00:15, 21.83iter/s]
Best score: 0.2111: : 295iter [00:15, 21.83iter/s]
Best score: 0.2111: : 296iter [00:15, 21.92iter/s]
Best score: 0.2111: : 296iter [00:15, 21.92iter/s]
Best score: 0.2111: : 297iter [00:15, 21.92iter/s]
Best score: 0.2111: : 298iter [00:15, 21.92iter/s]
Best score: 0.2111: : 299iter [00:15, 21.99iter/s]
[ITER 300] Best: 0.2111
[PARAMS] Current best parameters:
  fx: 519.9988
  fy: 519.9867
  px: 1019.2084
  py: 754.7261
  k1: 0.03608502
  k2: -0.01981898
  k3: 0.00294172
  k4: -0.00015186
  p1: 0.00052389
  p2: -0.00239267
  p3: -0.00015614
  p4: 0.00000644
  scale: 2.9440
  rotation: -0.1968

Best score: 0.2111: : 299iter [00:15, 21.99iter/s]
Best score: 0.2111: : 300iter [00:15, 21.99iter/s]
Best score: 0.2111: : 301iter [00:15, 21.99iter/s]
Best score: 0.2111: : 302iter [00:15, 21.77iter/s]
Best score: 0.2111: : 302iter [00:15, 21.77iter/s]
Best score: 0.2111: : 303iter [00:15, 21.77iter/s]
Best score: 0.2111: : 304iter [00:15, 21.77iter/s]
Best score: 0.2111: : 305iter [00:15, 21.85iter/s]
Best score: 0.2111: : 305iter [00:16, 21.85iter/s]
Best score: 0.2111: : 306iter [00:16, 21.85iter/s]
Best score: 0.2111: : 307iter [00:16, 21.85iter/s]
Best score: 0.2111: : 308iter [00:16, 21.88iter/s]
Best score: 0.2111: : 308iter [00:16, 21.88iter/s]
Best score: 0.2104: : 309iter [00:16, 21.88iter/s]
Best score: 0.2104: : 310iter [00:16, 21.88iter/s]
Best score: 0.2104: : 311iter [00:16, 21.70iter/s]
Best score: 0.2104: : 311iter [00:16, 21.70iter/s]
Best score: 0.2104: : 312iter [00:16, 21.70iter/s]
Best score: 0.2104: : 313iter [00:16, 21.70iter/s]
Best score: 0.2104: : 314iter [00:16, 21.82iter/s]
Best score: 0.2104: : 314iter [00:16, 21.82iter/s]
Best score: 0.2104: : 315iter [00:16, 21.82iter/s]
Best score: 0.2104: : 316iter [00:16, 21.82iter/s]
Best score: 0.2104: : 317iter [00:16, 21.88iter/s]
Best score: 0.2104: : 317iter [00:16, 21.88iter/s]
Best score: 0.2104: : 318iter [00:16, 21.88iter/s]
Best score: 0.2097: : 319iter [00:16, 21.88iter/s]
Best score: 0.2097: : 320iter [00:16, 21.69iter/s]
Best score: 0.2097: : 320iter [00:16, 21.69iter/s]
Best score: 0.2097: : 321iter [00:16, 21.69iter/s]
Best score: 0.2097: : 322iter [00:16, 21.69iter/s]
Best score: 0.2097: : 323iter [00:16, 21.75iter/s]
Best score: 0.2097: : 323iter [00:16, 21.75iter/s]
Best score: 0.2097: : 324iter [00:16, 21.75iter/s]
Best score: 0.2097: : 325iter [00:16, 21.75iter/s]
Best score: 0.2097: : 326iter [00:16, 21.82iter/s]
Best score: 0.2097: : 326iter [00:16, 21.82iter/s]
Best score: 0.2097: : 327iter [00:17, 21.82iter/s]
Best score: 0.2097: : 328iter [00:17, 21.82iter/s]
Best score: 0.2097: : 329iter [00:17, 21.89iter/s]
Best score: 0.2094: : 329iter [00:17, 21.89iter/s]
Best score: 0.2094: : 330iter [00:17, 21.89iter/s]
Best score: 0.2094: : 331iter [00:17, 21.89iter/s]
Best score: 0.2094: : 332iter [00:17, 21.68iter/s]
Best score: 0.2094: : 332iter [00:17, 21.68iter/s]
Best score: 0.2094: : 333iter [00:17, 21.68iter/s]
Best score: 0.2094: : 334iter [00:17, 21.68iter/s]
Best score: 0.2094: : 335iter [00:17, 21.81iter/s]
Best score: 0.2094: : 335iter [00:17, 21.81iter/s]
Best score: 0.2094: : 336iter [00:17, 21.81iter/s]
Best score: 0.2094: : 337iter [00:17, 21.81iter/s]
Best score: 0.2094: : 338iter [00:17, 21.93iter/s]
Best score: 0.2094: : 338iter [00:17, 21.93iter/s]
Best score: 0.2094: : 339iter [00:17, 21.93iter/s]
Best score: 0.2094: : 340iter [00:17, 21.93iter/s]
Best score: 0.2094: : 341iter [00:17, 21.80iter/s]
Best score: 0.2094: : 341iter [00:17, 21.80iter/s]
Best score: 0.2094: : 342iter [00:17, 21.80iter/s]
Best score: 0.2094: : 343iter [00:17, 21.80iter/s]
Best score: 0.2094: : 344iter [00:17, 21.90iter/s]
Best score: 0.2094: : 344iter [00:17, 21.90iter/s]
Best score: 0.2094: : 345iter [00:17, 21.90iter/s]
Best score: 0.2094: : 346iter [00:17, 21.90iter/s]
Best score: 0.2094: : 347iter [00:17, 21.95iter/s]
Best score: 0.2094: : 347iter [00:17, 21.95iter/s]
Best score: 0.2094: : 348iter [00:17, 21.95iter/s]
[ITER 350] Best: 0.2088
[PARAMS] Current best parameters:
  fx: 517.9046
  fy: 517.9001
  px: 1019.1975
  py: 754.8638
  k1: 0.03588974
  k2: -0.01929463
  k3: 0.00403641
  k4: -0.00060913
  p1: 0.00076380
  p2: -0.00239955
  p3: -0.00032207
  p4: 0.00007323
  scale: 2.9527
  rotation: -0.1998

Best score: 0.2088: : 349iter [00:18, 21.95iter/s]
Best score: 0.2088: : 350iter [00:18, 21.81iter/s]
Best score: 0.2088: : 350iter [00:18, 21.81iter/s]
Best score: 0.2088: : 351iter [00:18, 21.81iter/s]
Best score: 0.2088: : 352iter [00:18, 21.81iter/s]
Best score: 0.2088: : 353iter [00:18, 21.88iter/s]
Best score: 0.2088: : 353iter [00:18, 21.88iter/s]
Best score: 0.2088: : 354iter [00:18, 21.88iter/s]
Best score: 0.2088: : 355iter [00:18, 21.88iter/s]
Best score: 0.2088: : 356iter [00:18, 21.97iter/s]
Best score: 0.2088: : 356iter [00:18, 21.97iter/s]
Best score: 0.2088: : 357iter [00:18, 21.97iter/s]
Best score: 0.2088: : 358iter [00:18, 21.97iter/s]
Best score: 0.2088: : 359iter [00:18, 22.02iter/s]
Best score: 0.2088: : 359iter [00:18, 22.02iter/s]
Best score: 0.2088: : 360iter [00:18, 22.02iter/s]
Best score: 0.2088: : 361iter [00:18, 22.02iter/s]
Best score: 0.2088: : 362iter [00:18, 21.81iter/s]
Best score: 0.2088: : 362iter [00:18, 21.81iter/s]
Best score: 0.2088: : 363iter [00:18, 21.81iter/s]
Best score: 0.2088: : 364iter [00:18, 21.81iter/s]
Best score: 0.2088: : 365iter [00:18, 21.94iter/s]
Best score: 0.2088: : 365iter [00:18, 21.94iter/s]
Best score: 0.2088: : 366iter [00:18, 21.94iter/s]
Best score: 0.2088: : 367iter [00:18, 21.94iter/s]
Best score: 0.2088: : 368iter [00:18, 21.97iter/s]
Best score: 0.2088: : 368iter [00:18, 21.97iter/s]
Best score: 0.2087: : 369iter [00:18, 21.97iter/s]
Best score: 0.2087: : 370iter [00:18, 21.97iter/s]
Best score: 0.2087: : 371iter [00:18, 21.78iter/s]
Best score: 0.2087: : 371iter [00:19, 21.78iter/s]
Best score: 0.2087: : 372iter [00:19, 21.78iter/s]
Best score: 0.2087: : 373iter [00:19, 21.78iter/s]
Best score: 0.2087: : 374iter [00:19, 21.96iter/s]
Best score: 0.2087: : 374iter [00:19, 21.96iter/s]
Best score: 0.2087: : 375iter [00:19, 21.96iter/s]
Best score: 0.2087: : 376iter [00:19, 21.96iter/s]
Best score: 0.2087: : 377iter [00:19, 21.99iter/s]
Best score: 0.2087: : 377iter [00:19, 21.99iter/s]
Best score: 0.2087: : 378iter [00:19, 21.99iter/s]
Best score: 0.2087: : 379iter [00:19, 21.99iter/s]
Best score: 0.2087: : 380iter [00:19, 21.84iter/s]
Best score: 0.2087: : 380iter [00:19, 21.84iter/s]
Best score: 0.2087: : 381iter [00:19, 21.84iter/s]
Best score: 0.2087: : 382iter [00:19, 21.84iter/s]
Best score: 0.2087: : 383iter [00:19, 21.95iter/s]
Best score: 0.2087: : 383iter [00:19, 21.95iter/s]
Best score: 0.2087: : 384iter [00:19, 21.95iter/s]
Best score: 0.2087: : 385iter [00:19, 21.95iter/s]
Best score: 0.2087: : 386iter [00:19, 22.00iter/s]
Best score: 0.2087: : 386iter [00:19, 22.00iter/s]
Best score: 0.2087: : 387iter [00:19, 22.00iter/s]
Best score: 0.2087: : 388iter [00:19, 22.00iter/s]
Best score: 0.2087: : 389iter [00:19, 22.05iter/s]
Best score: 0.2087: : 389iter [00:19, 22.05iter/s]
Best score: 0.2087: : 390iter [00:19, 22.05iter/s]
Best score: 0.2087: : 391iter [00:19, 22.05iter/s]
Best score: 0.2087: : 392iter [00:19, 21.85iter/s]
Best score: 0.2087: : 392iter [00:19, 21.85iter/s]
Best score: 0.2087: : 393iter [00:20, 21.85iter/s]
Best score: 0.2087: : 394iter [00:20, 21.85iter/s]
Best score: 0.2087: : 395iter [00:20, 21.90iter/s]
Best score: 0.2087: : 395iter [00:20, 21.90iter/s]
Best score: 0.2087: : 396iter [00:20, 21.90iter/s]
Best score: 0.2087: : 397iter [00:20, 21.90iter/s]
Best score: 0.2087: : 398iter [00:20, 21.96iter/s]
Best score: 0.2087: : 398iter [00:20, 21.96iter/s]
[ITER 400] Best: 0.2086
[PARAMS] Current best parameters:
  fx: 517.9831
  fy: 517.9686
  px: 1019.1884
  py: 754.7863
  k1: 0.03569932
  k2: -0.01900255
  k3: 0.00379447
  k4: -0.00054344
  p1: 0.00059530
  p2: -0.00243360
  p3: -0.00036050
  p4: 0.00013333
  scale: 2.9527
  rotation: -0.1997

Best score: 0.2086: : 399iter [00:20, 21.96iter/s]
Best score: 0.2086: : 400iter [00:20, 21.96iter/s]
Best score: 0.2086: : 401iter [00:20, 21.79iter/s]
Best score: 0.2086: : 401iter [00:20, 21.79iter/s]
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Best score: 0.2086: : 404iter [00:20, 21.88iter/s]
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Best score: 0.2086: : 407iter [00:20, 21.96iter/s]
Best score: 0.2086: : 407iter [00:20, 21.96iter/s]
Best score: 0.2086: : 408iter [00:20, 21.96iter/s]
Best score: 0.2086: : 409iter [00:20, 21.96iter/s]
Best score: 0.2086: : 410iter [00:20, 21.81iter/s]
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Best score: 0.2086: : 411iter [00:20, 21.81iter/s]
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Best score: 0.2086: : 413iter [00:20, 21.88iter/s]
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Best score: 0.2086: : 416iter [00:21, 21.98iter/s]
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Best score: 0.2086: : 422iter [00:21, 21.83iter/s]
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Best score: 0.2086: : 423iter [00:21, 21.83iter/s]
Best score: 0.2086: : 424iter [00:21, 21.83iter/s]
Best score: 0.2086: : 425iter [00:21, 21.91iter/s]
Best score: 0.2086: : 425iter [00:21, 21.91iter/s]
Best score: 0.2086: : 426iter [00:21, 21.91iter/s]
Best score: 0.2086: : 427iter [00:21, 21.91iter/s]
Best score: 0.2086: : 428iter [00:21, 21.94iter/s]
Best score: 0.2086: : 428iter [00:21, 21.94iter/s]
Best score: 0.2086: : 429iter [00:21, 21.94iter/s]
Best score: 0.2086: : 430iter [00:21, 21.94iter/s]
Best score: 0.2086: : 431iter [00:21, 21.79iter/s]
Best score: 0.2086: : 431iter [00:21, 21.79iter/s]
Best score: 0.2086: : 432iter [00:21, 21.79iter/s]
Best score: 0.2086: : 433iter [00:21, 21.79iter/s]
Best score: 0.2086: : 434iter [00:21, 21.87iter/s]
Best score: 0.2086: : 434iter [00:21, 21.87iter/s]
Best score: 0.2086: : 435iter [00:21, 21.87iter/s]
Best score: 0.2086: : 436iter [00:22, 21.87iter/s]
Best score: 0.2086: : 437iter [00:22, 21.99iter/s]
Best score: 0.2086: : 437iter [00:22, 21.99iter/s]
Best score: 0.2086: : 438iter [00:22, 21.99iter/s]
Best score: 0.2086: : 439iter [00:22, 21.99iter/s]
Best score: 0.2086: : 440iter [00:22, 21.88iter/s]
Best score: 0.2086: : 440iter [00:22, 21.88iter/s]
Best score: 0.2086: : 441iter [00:22, 21.88iter/s]
Best score: 0.2086: : 442iter [00:22, 21.88iter/s]
Best score: 0.2086: : 443iter [00:22, 18.21iter/s]
Best score: 0.2086: : 443iter [00:22, 18.21iter/s]
Best score: 0.2086: : 444iter [00:22, 18.21iter/s]
Best score: 0.2086: : 445iter [00:22, 18.21iter/s]
Best score: 0.2086: : 446iter [00:22, 19.22iter/s]
Best score: 0.2086: : 446iter [00:22, 19.22iter/s]
Best score: 0.2086: : 447iter [00:22, 19.22iter/s]
Best score: 0.2086: : 448iter [00:22, 19.22iter/s]
Best score: 0.2086: : 449iter [00:22, 19.98iter/s]
[ITER 450] Best: 0.2086
[PARAMS] Current best parameters:
  fx: 517.1086
  fy: 517.0963
  px: 1019.2028
  py: 754.8349
  k1: 0.03638705
  k2: -0.01882655
  k3: 0.00378104
  k4: -0.00057269
  p1: 0.00071603
  p2: -0.00238628
  p3: -0.00041577
  p4: 0.00012993
  scale: 2.9532
  rotation: -0.1997

Best score: 0.2086: : 449iter [00:22, 19.98iter/s]
Best score: 0.2086: : 450iter [00:22, 19.98iter/s]
Best score: 0.2086: : 451iter [00:22, 19.98iter/s]
Best score: 0.2086: : 452iter [00:22, 20.35iter/s]
Best score: 0.2086: : 452iter [00:22, 20.35iter/s]
Best score: 0.2086: : 453iter [00:22, 20.35iter/s]
Best score: 0.2086: : 454iter [00:22, 20.35iter/s]
Best score: 0.2086: : 455iter [00:22, 20.88iter/s]
Best score: 0.2086: : 455iter [00:22, 20.88iter/s]
Best score: 0.2086: : 456iter [00:23, 20.88iter/s]
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Best score: 0.2086: : 458iter [00:23, 21.25iter/s]
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Best score: 0.2085: : 459iter [00:23, 21.25iter/s]
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Best score: 0.2085: : 476iter [00:23, 21.91iter/s]
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Best score: 0.2085: : 478iter [00:24, 21.91iter/s]
Best score: 0.2085: : 479iter [00:24, 22.00iter/s]
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Best score: 0.2084: : 482iter [00:24, 21.81iter/s]
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Best score: 0.2084: : 485iter [00:24, 21.90iter/s]
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Best score: 0.2084: : 486iter [00:24, 21.90iter/s]
Best score: 0.2084: : 487iter [00:24, 21.90iter/s]
Best score: 0.2084: : 488iter [00:24, 21.97iter/s]
Best score: 0.2084: : 488iter [00:24, 21.97iter/s]
Best score: 0.2083: : 489iter [00:24, 21.97iter/s]
Best score: 0.2083: : 490iter [00:24, 21.97iter/s]
Best score: 0.2083: : 491iter [00:24, 21.80iter/s]
Best score: 0.2083: : 491iter [00:24, 21.80iter/s]
Best score: 0.2083: : 492iter [00:24, 21.80iter/s]
Best score: 0.2083: : 493iter [00:24, 21.80iter/s]
Best score: 0.2083: : 494iter [00:24, 21.91iter/s]
Best score: 0.2083: : 494iter [00:24, 21.91iter/s]
Best score: 0.2083: : 495iter [00:24, 21.91iter/s]
Best score: 0.2083: : 496iter [00:24, 21.91iter/s]
Best score: 0.2083: : 497iter [00:24, 21.97iter/s]
Best score: 0.2083: : 497iter [00:24, 21.97iter/s]
Best score: 0.2083: : 498iter [00:24, 21.97iter/s]
[ITER 500] Best: 0.2081
[PARAMS] Current best parameters:
  fx: 518.2392
  fy: 518.2338
  px: 1019.1341
  py: 754.7095
  k1: 0.02617025
  k2: -0.00624122
  k3: -0.00252734
  k4: 0.00056919
  p1: 0.00041956
  p2: -0.00258493
  p3: -0.00009959
  p4: 0.00005740
  scale: 2.9629
  rotation: -0.2003

Best score: 0.2081: : 499iter [00:24, 21.97iter/s]
Best score: 0.2081: : 500iter [00:24, 21.80iter/s]
Best score: 0.2081: : 500iter [00:24, 20.02iter/s]

[📈] Running L-BFGS-B polish after 500 DE iterations...
  Polish improved score: 0.208137 -> 0.208123
  Success: True
  Tangential distortion: p1=0.000419, p2=-0.002583, p3=-0.000101, p4=0.000057
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.2081
[✅] Parameters copied to: /working/MDC027_W031_2025-03-24/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 518.239184160062
    fy: 518.2338494816864
    px: 1019.1340987388047
    py: 754.7095283186679
    k1: 0.026170183224245844
    k2: -0.00624063140628366
    k3: -0.002526922023857475
    k4: 0.00056887242926409
    p1: 0.0004190712051704608
    p2: -0.002583295251302207
    p3: -0.0001007342983280327
    p4: 5.72882779267192e-05
    scale: 2.9628959698794377
    rotation: -0.20029630014584712
    mmpp: 1.2812882452400092
    nmpp: 1281288.2452400092

[🔄] Converting 744 frames to PTD, creating debug images for 200 calibration frames...

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📁 Rigs: 100%|██████████| 2/2 [00:07<00:00,  4.02s/rig]
📁 Rigs: 100%|██████████| 2/2 [00:07<00:00,  3.95s/rig]
[✅] Saved PTDs: /working/MDC027_W031_2025-03-24/calibration/debug/3_undistorted/output/ptd

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📁 Rigs: 100%|██████████| 2/2 [00:01<00:00,  1.01s/rig]
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[✅] Saved PTDs: /working/MDC027_W031_2025-03-24/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:  93%|█████████▎| 2865826/3080448 [00:03<00:00, 861949.99px/s]
📤 Writing LUT:  96%|█████████▌| 2952591/3080448 [00:03<00:00, 863658.69px/s]
📤 Writing LUT:  99%|█████████▊| 3040534/3080448 [00:03<00:00, 868385.41px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 842891.59px/s]
[✅] LUT written to: /working/MDC027_W031_2025-03-24/calibration/debug/3_undistorted/output/LUT.lut
[WARN] Folder name 'MDC027_W031_2025-03-24' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC027_W031_2025-03-24/calibration/MDC027_W031_2025-03-24_unknown.lut

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


📁 Rigs (heatmap):   0%|          | 0/2 [00:00<?, ?rig/s]

   🔥 500:   0%|          | 0/333 [00:00<?, ?frame/s]

   🔥 500:   5%|▍         | 15/333 [00:00<00:02, 149.93frame/s]

   🔥 500:  10%|▉         | 32/333 [00:00<00:01, 156.10frame/s]

   🔥 500:  14%|█▍        | 48/333 [00:00<00:01, 157.18frame/s]

   🔥 500:  20%|█▉        | 65/333 [00:00<00:01, 160.70frame/s]

   🔥 500:  25%|██▍       | 82/333 [00:00<00:01, 162.51frame/s]

   🔥 500:  30%|██▉       | 99/333 [00:00<00:01, 163.98frame/s]

   🔥 500:  35%|███▍      | 116/333 [00:00<00:01, 164.54frame/s]

   🔥 500:  40%|███▉      | 133/333 [00:00<00:01, 163.12frame/s]

   🔥 500:  45%|████▌     | 150/333 [00:00<00:01, 162.42frame/s]

   🔥 500:  50%|█████     | 167/333 [00:01<00:01, 162.88frame/s]

   🔥 500:  55%|█████▌    | 184/333 [00:01<00:00, 162.60frame/s]

   🔥 500:  60%|██████    | 201/333 [00:01<00:00, 162.59frame/s]

   🔥 500:  65%|██████▌   | 218/333 [00:01<00:00, 162.64frame/s]

   🔥 500:  71%|███████   | 235/333 [00:01<00:00, 162.00frame/s]

   🔥 500:  76%|███████▌  | 252/333 [00:01<00:00, 162.83frame/s]

   🔥 500:  81%|████████  | 269/333 [00:01<00:00, 164.39frame/s]

   🔥 500:  86%|████████▌ | 286/333 [00:01<00:00, 165.55frame/s]

   🔥 500:  91%|█████████ | 303/333 [00:01<00:00, 164.37frame/s]

   🔥 500:  96%|█████████▌| 320/333 [00:01<00:00, 163.14frame/s]

                                                                [✅] 500: /working/MDC027_W031_2025-03-24/calibration/debug/4_heatmap/500_heatmap.png

📁 Rigs (heatmap):  50%|█████     | 1/2 [00:02<00:02,  2.62s/rig]

   🔥 1000:   0%|          | 0/411 [00:00<?, ?frame/s]

   🔥 1000:   4%|▍         | 16/411 [00:00<00:02, 156.80frame/s]

   🔥 1000:   8%|▊         | 32/411 [00:00<00:02, 157.54frame/s]

   🔥 1000:  12%|█▏        | 48/411 [00:00<00:02, 158.57frame/s]

   🔥 1000:  16%|█▌        | 65/411 [00:00<00:02, 159.55frame/s]

   🔥 1000:  20%|█▉        | 81/411 [00:00<00:02, 159.23frame/s]

   🔥 1000:  24%|██▎       | 97/411 [00:00<00:01, 159.46frame/s]

   🔥 1000:  28%|██▊       | 114/411 [00:00<00:01, 160.09frame/s]

   🔥 1000:  32%|███▏      | 131/411 [00:00<00:01, 159.78frame/s]

   🔥 1000:  36%|███▌      | 148/411 [00:00<00:01, 160.72frame/s]

   🔥 1000:  40%|████      | 165/411 [00:01<00:01, 161.35frame/s]

   🔥 1000:  44%|████▍     | 182/411 [00:01<00:01, 161.24frame/s]

   🔥 1000:  48%|████▊     | 199/411 [00:01<00:01, 160.56frame/s]

   🔥 1000:  53%|█████▎    | 216/411 [00:01<00:01, 161.22frame/s]

   🔥 1000:  57%|█████▋    | 233/411 [00:01<00:01, 162.14frame/s]

   🔥 1000:  61%|██████    | 250/411 [00:01<00:00, 162.12frame/s]

   🔥 1000:  65%|██████▍   | 267/411 [00:01<00:00, 161.73frame/s]

   🔥 1000:  69%|██████▉   | 284/411 [00:01<00:00, 160.32frame/s]

   🔥 1000:  73%|███████▎  | 301/411 [00:01<00:00, 160.48frame/s]

   🔥 1000:  77%|███████▋  | 318/411 [00:01<00:00, 160.57frame/s]

   🔥 1000:  82%|████████▏ | 335/411 [00:02<00:00, 160.54frame/s]

   🔥 1000:  86%|████████▌ | 352/411 [00:02<00:00, 160.77frame/s]

   🔥 1000:  90%|████████▉ | 369/411 [00:02<00:00, 160.63frame/s]

   🔥 1000:  94%|█████████▍| 386/411 [00:02<00:00, 160.16frame/s]

   🔥 1000:  98%|█████████▊| 403/411 [00:02<00:00, 160.23frame/s]

                                                                 [✅] 1000: /working/MDC027_W031_2025-03-24/calibration/debug/4_heatmap/1000_heatmap.png

📁 Rigs (heatmap): 100%|██████████| 2/2 [00:06<00:00,  3.11s/rig]
📁 Rigs (heatmap): 100%|██████████| 2/2 [00:06<00:00,  3.03s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] Heatmaps saved to: /working/MDC027_W031_2025-03-24/calibration/debug/4_heatmap
[🏁] Finished processing MDC027_W031_2025-03-24


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