🟢 Starting Calibration Pipeline

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

-------------------------------------------------------------------
                        Step 1: Digitization                       
-------------------------------------------------------------------

[🔄] Full PTD mode: Processing ALL images then creating calibration subset
[📸] Digitizing ALL images...
[📸] Full dataset mode: Processing ALL images (no debug visualizations)
[INFO] Found 3 las0.zip files to process

📁 Processing Rigs:   0%|          | 0/3 [00:00<?, ?it/s]

→ 500 (500 images):   0%|          | 0/500 [00:00<?, ?it/s]

→ 500 (500 images):   0%|          | 1/500 [00:04<38:04,  4.58s/it]

→ 500 (500 images):   1%|          | 5/500 [00:04<05:49,  1.42it/s]

→ 500 (500 images):   2%|▏         | 10/500 [00:04<02:24,  3.40it/s]

→ 500 (500 images):   3%|▎         | 15/500 [00:04<01:21,  5.95it/s]

→ 500 (500 images):   4%|▍         | 20/500 [00:05<00:53,  9.05it/s]

→ 500 (500 images):   5%|▍         | 24/500 [00:05<00:40, 11.81it/s]

→ 500 (500 images):   6%|▌         | 28/500 [00:05<00:34, 13.74it/s]

→ 500 (500 images):   6%|▋         | 32/500 [00:05<00:28, 16.53it/s]

→ 500 (500 images):   7%|▋         | 36/500 [00:08<02:05,  3.71it/s]

→ 500 (500 images):   8%|▊         | 40/500 [00:08<01:30,  5.07it/s]

→ 500 (500 images):   9%|▊         | 43/500 [00:08<01:13,  6.25it/s]

→ 500 (500 images):   9%|▉         | 46/500 [00:08<01:04,  7.03it/s]

→ 500 (500 images):  10%|▉         | 49/500 [00:09<00:51,  8.70it/s]

→ 500 (500 images):  10%|█         | 52/500 [00:09<00:43, 10.22it/s]

→ 500 (500 images):  11%|█         | 55/500 [00:09<00:35, 12.42it/s]

→ 500 (500 images):  12%|█▏        | 58/500 [00:09<00:30, 14.57it/s]

→ 500 (500 images):  12%|█▏        | 61/500 [00:09<00:26, 16.70it/s]

→ 500 (500 images):  13%|█▎        | 64/500 [00:09<00:22, 19.16it/s]

→ 500 (500 images):  13%|█▎        | 67/500 [00:12<02:15,  3.20it/s]

→ 500 (500 images):  14%|█▍        | 70/500 [00:12<01:40,  4.26it/s]

→ 500 (500 images):  15%|█▍        | 74/500 [00:12<01:08,  6.20it/s]

→ 500 (500 images):  15%|█▌        | 77/500 [00:12<00:56,  7.44it/s]

→ 500 (500 images):  16%|█▌        | 80/500 [00:13<00:46,  8.97it/s]

→ 500 (500 images):  17%|█▋        | 83/500 [00:13<00:38, 10.76it/s]

→ 500 (500 images):  17%|█▋        | 86/500 [00:13<00:36, 11.35it/s]

→ 500 (500 images):  18%|█▊        | 90/500 [00:13<00:28, 14.46it/s]

→ 500 (500 images):  19%|█▉        | 94/500 [00:13<00:22, 18.02it/s]

→ 500 (500 images):  19%|█▉        | 97/500 [00:16<01:52,  3.58it/s]

→ 500 (500 images):  20%|█▉        | 99/500 [00:16<01:36,  4.14it/s]

→ 500 (500 images):  20%|██        | 101/500 [00:16<01:19,  5.01it/s]

→ 500 (500 images):  21%|██        | 105/500 [00:16<00:52,  7.50it/s]

→ 500 (500 images):  22%|██▏       | 108/500 [00:16<00:40,  9.57it/s]

→ 500 (500 images):  22%|██▏       | 111/500 [00:17<00:35, 10.88it/s]

→ 500 (500 images):  23%|██▎       | 115/500 [00:17<00:29, 13.13it/s]

→ 500 (500 images):  24%|██▎       | 118/500 [00:17<00:29, 12.83it/s]

→ 500 (500 images):  24%|██▍       | 120/500 [00:17<00:28, 13.11it/s]

→ 500 (500 images):  25%|██▍       | 124/500 [00:17<00:22, 17.03it/s]

→ 500 (500 images):  26%|██▌       | 128/500 [00:18<00:18, 19.81it/s]

→ 500 (500 images):  26%|██▌       | 131/500 [00:20<01:47,  3.44it/s]

→ 500 (500 images):  27%|██▋       | 134/500 [00:20<01:20,  4.56it/s]

→ 500 (500 images):  28%|██▊       | 138/500 [00:21<00:55,  6.52it/s]

→ 500 (500 images):  28%|██▊       | 142/500 [00:21<00:40,  8.82it/s]

→ 500 (500 images):  29%|██▉       | 145/500 [00:21<00:33, 10.45it/s]

→ 500 (500 images):  30%|██▉       | 148/500 [00:21<00:31, 11.00it/s]

→ 500 (500 images):  30%|███       | 151/500 [00:21<00:31, 11.24it/s]

→ 500 (500 images):  31%|███       | 154/500 [00:21<00:26, 13.19it/s]

→ 500 (500 images):  32%|███▏      | 158/500 [00:22<00:20, 17.01it/s]

→ 500 (500 images):  32%|███▏      | 161/500 [00:24<01:34,  3.57it/s]

→ 500 (500 images):  33%|███▎      | 163/500 [00:24<01:21,  4.13it/s]

→ 500 (500 images):  33%|███▎      | 166/500 [00:24<01:00,  5.54it/s]

→ 500 (500 images):  34%|███▎      | 168/500 [00:25<00:50,  6.58it/s]

→ 500 (500 images):  34%|███▍      | 172/500 [00:25<00:34,  9.64it/s]

→ 500 (500 images):  35%|███▌      | 175/500 [00:25<00:27, 11.98it/s]

→ 500 (500 images):  36%|███▌      | 178/500 [00:25<00:23, 13.52it/s]

→ 500 (500 images):  36%|███▌      | 181/500 [00:25<00:22, 13.96it/s]

→ 500 (500 images):  37%|███▋      | 184/500 [00:25<00:22, 13.77it/s]

→ 500 (500 images):  37%|███▋      | 186/500 [00:25<00:22, 13.89it/s]

→ 500 (500 images):  38%|███▊      | 189/500 [00:26<00:19, 16.28it/s]

→ 500 (500 images):  38%|███▊      | 192/500 [00:26<00:16, 18.78it/s]

→ 500 (500 images):  39%|███▉      | 195/500 [00:28<01:35,  3.20it/s]

→ 500 (500 images):  39%|███▉      | 197/500 [00:29<01:17,  3.92it/s]

→ 500 (500 images):  40%|████      | 200/500 [00:29<00:55,  5.44it/s]

→ 500 (500 images):  41%|████      | 204/500 [00:29<00:36,  8.05it/s]

→ 500 (500 images):  42%|████▏     | 208/500 [00:29<00:26, 10.96it/s]

→ 500 (500 images):  42%|████▏     | 211/500 [00:29<00:22, 12.60it/s]

→ 500 (500 images):  43%|████▎     | 214/500 [00:29<00:23, 12.43it/s]

→ 500 (500 images):  43%|████▎     | 217/500 [00:29<00:21, 12.99it/s]

→ 500 (500 images):  44%|████▍     | 219/500 [00:30<00:20, 14.00it/s]

→ 500 (500 images):  44%|████▍     | 222/500 [00:30<00:16, 16.68it/s]

→ 500 (500 images):  45%|████▌     | 225/500 [00:32<01:22,  3.34it/s]

→ 500 (500 images):  45%|████▌     | 227/500 [00:32<01:07,  4.04it/s]

→ 500 (500 images):  46%|████▌     | 229/500 [00:32<00:54,  4.97it/s]

→ 500 (500 images):  46%|████▋     | 232/500 [00:33<00:39,  6.79it/s]

→ 500 (500 images):  47%|████▋     | 235/500 [00:33<00:29,  9.07it/s]

→ 500 (500 images):  48%|████▊     | 239/500 [00:33<00:20, 12.47it/s]

→ 500 (500 images):  48%|████▊     | 242/500 [00:33<00:17, 14.34it/s]

→ 500 (500 images):  49%|████▉     | 245/500 [00:33<00:16, 15.23it/s]

→ 500 (500 images):  50%|████▉     | 248/500 [00:33<00:15, 16.71it/s]

→ 500 (500 images):  50%|█████     | 251/500 [00:33<00:15, 16.14it/s]

→ 500 (500 images):  51%|█████     | 253/500 [00:34<00:14, 16.71it/s]

→ 500 (500 images):  51%|█████     | 256/500 [00:34<00:14, 16.49it/s]

→ 500 (500 images):  52%|█████▏    | 258/500 [00:36<01:18,  3.09it/s]

→ 500 (500 images):  52%|█████▏    | 260/500 [00:36<01:04,  3.75it/s]

→ 500 (500 images):  53%|█████▎    | 263/500 [00:36<00:44,  5.34it/s]

→ 500 (500 images):  53%|█████▎    | 266/500 [00:37<00:33,  7.09it/s]

→ 500 (500 images):  54%|█████▍    | 269/500 [00:37<00:24,  9.38it/s]

→ 500 (500 images):  54%|█████▍    | 272/500 [00:37<00:20, 11.35it/s]

→ 500 (500 images):  55%|█████▌    | 276/500 [00:37<00:14, 15.11it/s]

→ 500 (500 images):  56%|█████▌    | 279/500 [00:37<00:13, 16.50it/s]

→ 500 (500 images):  56%|█████▋    | 282/500 [00:37<00:16, 13.09it/s]

→ 500 (500 images):  57%|█████▋    | 285/500 [00:37<00:13, 15.67it/s]

→ 500 (500 images):  58%|█████▊    | 288/500 [00:38<00:13, 15.88it/s]

→ 500 (500 images):  58%|█████▊    | 291/500 [00:40<00:59,  3.50it/s]

→ 500 (500 images):  59%|█████▉    | 294/500 [00:40<00:43,  4.69it/s]

→ 500 (500 images):  59%|█████▉    | 297/500 [00:40<00:33,  6.06it/s]

→ 500 (500 images):  60%|█████▉    | 299/500 [00:41<00:28,  7.12it/s]

→ 500 (500 images):  60%|██████    | 301/500 [00:41<00:23,  8.39it/s]

→ 500 (500 images):  61%|██████    | 304/500 [00:41<00:17, 10.94it/s]

→ 500 (500 images):  61%|██████▏   | 307/500 [00:41<00:15, 12.82it/s]

→ 500 (500 images):  62%|██████▏   | 310/500 [00:41<00:12, 14.83it/s]

→ 500 (500 images):  63%|██████▎   | 313/500 [00:41<00:12, 14.72it/s]

→ 500 (500 images):  63%|██████▎   | 316/500 [00:41<00:12, 14.37it/s]

→ 500 (500 images):  64%|██████▍   | 319/500 [00:42<00:11, 15.62it/s]

→ 500 (500 images):  64%|██████▍   | 321/500 [00:44<00:55,  3.23it/s]

→ 500 (500 images):  65%|██████▍   | 323/500 [00:44<00:45,  3.89it/s]

→ 500 (500 images):  65%|██████▌   | 325/500 [00:44<00:35,  4.90it/s]

→ 500 (500 images):  65%|██████▌   | 327/500 [00:44<00:28,  6.07it/s]

→ 500 (500 images):  66%|██████▌   | 330/500 [00:44<00:20,  8.33it/s]

→ 500 (500 images):  66%|██████▋   | 332/500 [00:45<00:18,  8.96it/s]

→ 500 (500 images):  67%|██████▋   | 334/500 [00:45<00:16,  9.97it/s]

→ 500 (500 images):  67%|██████▋   | 337/500 [00:45<00:12, 12.98it/s]

→ 500 (500 images):  68%|██████▊   | 339/500 [00:45<00:11, 13.72it/s]

→ 500 (500 images):  68%|██████▊   | 342/500 [00:45<00:09, 16.83it/s]

→ 500 (500 images):  69%|██████▉   | 345/500 [00:45<00:10, 14.96it/s]

→ 500 (500 images):  69%|██████▉   | 347/500 [00:45<00:10, 14.86it/s]

→ 500 (500 images):  70%|██████▉   | 349/500 [00:46<00:09, 15.19it/s]

→ 500 (500 images):  70%|███████   | 352/500 [00:46<00:09, 15.41it/s]

→ 500 (500 images):  71%|███████   | 354/500 [00:48<00:50,  2.89it/s]

→ 500 (500 images):  71%|███████▏  | 357/500 [00:48<00:33,  4.22it/s]

→ 500 (500 images):  72%|███████▏  | 359/500 [00:48<00:27,  5.07it/s]

→ 500 (500 images):  72%|███████▏  | 362/500 [00:49<00:19,  7.02it/s]

→ 500 (500 images):  73%|███████▎  | 364/500 [00:49<00:16,  8.21it/s]

→ 500 (500 images):  73%|███████▎  | 366/500 [00:49<00:14,  9.29it/s]

→ 500 (500 images):  74%|███████▎  | 368/500 [00:49<00:12, 10.35it/s]

→ 500 (500 images):  74%|███████▍  | 370/500 [00:49<00:10, 11.86it/s]

→ 500 (500 images):  75%|███████▍  | 373/500 [00:49<00:09, 14.07it/s]

→ 500 (500 images):  75%|███████▌  | 375/500 [00:49<00:08, 13.90it/s]

→ 500 (500 images):  75%|███████▌  | 377/500 [00:49<00:08, 14.24it/s]

→ 500 (500 images):  76%|███████▌  | 380/500 [00:50<00:07, 16.93it/s]

→ 500 (500 images):  76%|███████▋  | 382/500 [00:50<00:08, 14.00it/s]

→ 500 (500 images):  77%|███████▋  | 384/500 [00:50<00:07, 14.77it/s]

→ 500 (500 images):  77%|███████▋  | 386/500 [00:52<00:42,  2.68it/s]

→ 500 (500 images):  78%|███████▊  | 388/500 [00:52<00:31,  3.51it/s]

→ 500 (500 images):  78%|███████▊  | 391/500 [00:52<00:20,  5.27it/s]

→ 500 (500 images):  79%|███████▊  | 393/500 [00:53<00:16,  6.42it/s]

→ 500 (500 images):  79%|███████▉  | 395/500 [00:53<00:13,  7.64it/s]

→ 500 (500 images):  80%|███████▉  | 398/500 [00:53<00:10,  9.86it/s]

→ 500 (500 images):  80%|████████  | 400/500 [00:53<00:09, 10.66it/s]

→ 500 (500 images):  80%|████████  | 402/500 [00:53<00:09, 10.83it/s]

→ 500 (500 images):  81%|████████  | 405/500 [00:53<00:06, 13.69it/s]

→ 500 (500 images):  81%|████████▏ | 407/500 [00:53<00:06, 13.74it/s]

→ 500 (500 images):  82%|████████▏ | 410/500 [00:54<00:05, 15.24it/s]

→ 500 (500 images):  83%|████████▎ | 413/500 [00:54<00:06, 13.59it/s]

→ 500 (500 images):  83%|████████▎ | 415/500 [00:54<00:06, 13.99it/s]

→ 500 (500 images):  83%|████████▎ | 417/500 [00:56<00:25,  3.21it/s]

→ 500 (500 images):  84%|████████▍ | 419/500 [00:56<00:22,  3.58it/s]

→ 500 (500 images):  84%|████████▍ | 420/500 [00:57<00:20,  3.91it/s]

→ 500 (500 images):  85%|████████▍ | 424/500 [00:57<00:11,  6.59it/s]

→ 500 (500 images):  85%|████████▌ | 426/500 [00:57<00:09,  7.89it/s]

→ 500 (500 images):  86%|████████▌ | 429/500 [00:57<00:07,  9.96it/s]

→ 500 (500 images):  86%|████████▌ | 431/500 [00:57<00:06, 11.22it/s]

→ 500 (500 images):  87%|████████▋ | 433/500 [00:57<00:06, 10.92it/s]

→ 500 (500 images):  87%|████████▋ | 435/500 [00:57<00:05, 12.22it/s]

→ 500 (500 images):  88%|████████▊ | 438/500 [00:58<00:04, 13.79it/s]

→ 500 (500 images):  88%|████████▊ | 441/500 [00:58<00:03, 15.42it/s]

→ 500 (500 images):  89%|████████▉ | 444/500 [00:58<00:03, 17.66it/s]

→ 500 (500 images):  89%|████████▉ | 446/500 [00:58<00:03, 13.62it/s]

→ 500 (500 images):  90%|████████▉ | 448/500 [00:58<00:04, 12.34it/s]

→ 500 (500 images):  90%|█████████ | 450/500 [01:00<00:17,  2.92it/s]

→ 500 (500 images):  90%|█████████ | 452/500 [01:01<00:13,  3.64it/s]

→ 500 (500 images):  91%|█████████ | 454/500 [01:01<00:10,  4.59it/s]

→ 500 (500 images):  91%|█████████▏| 457/500 [01:01<00:06,  6.40it/s]

→ 500 (500 images):  92%|█████████▏| 460/500 [01:01<00:04,  8.66it/s]

→ 500 (500 images):  92%|█████████▏| 462/500 [01:01<00:03,  9.95it/s]

→ 500 (500 images):  93%|█████████▎| 464/500 [01:01<00:03, 10.61it/s]

→ 500 (500 images):  93%|█████████▎| 466/500 [01:01<00:03, 10.51it/s]

→ 500 (500 images):  94%|█████████▎| 468/500 [01:02<00:02, 12.01it/s]

→ 500 (500 images):  94%|█████████▍| 471/500 [01:02<00:02, 14.19it/s]

→ 500 (500 images):  95%|█████████▍| 474/500 [01:02<00:01, 16.92it/s]

→ 500 (500 images):  95%|█████████▌| 477/500 [01:02<00:01, 18.23it/s]

→ 500 (500 images):  96%|█████████▌| 480/500 [01:02<00:01, 14.09it/s]

→ 500 (500 images):  96%|█████████▋| 482/500 [01:03<00:03,  5.76it/s]

→ 500 (500 images):  97%|█████████▋| 484/500 [01:04<00:02,  6.09it/s]

→ 500 (500 images):  97%|█████████▋| 487/500 [01:04<00:01,  8.32it/s]

→ 500 (500 images):  98%|█████████▊| 490/500 [01:04<00:00, 10.52it/s]

→ 500 (500 images):  98%|█████████▊| 492/500 [01:04<00:00, 10.21it/s]

→ 500 (500 images):  99%|█████████▉| 495/500 [01:04<00:00, 11.57it/s]

→ 500 (500 images): 100%|█████████▉| 498/500 [01:04<00:00, 14.11it/s]

→ 500 (500 images): 100%|██████████| 500/500 [01:05<00:00, 13.46it/s]

                                                                     
📁 Processing Rigs:  33%|███▎      | 1/3 [01:05<02:10, 65.07s/it]

→ 1000 (659 images):   0%|          | 0/659 [00:00<?, ?it/s]

→ 1000 (659 images):   0%|          | 1/659 [00:04<46:22,  4.23s/it]

→ 1000 (659 images):   0%|          | 2/659 [00:04<21:17,  1.94s/it]

→ 1000 (659 images):   1%|          | 6/659 [00:04<05:03,  2.15it/s]

→ 1000 (659 images):   2%|▏         | 11/659 [00:04<02:15,  4.79it/s]

→ 1000 (659 images):   3%|▎         | 17/659 [00:04<01:13,  8.71it/s]

→ 1000 (659 images):   3%|▎         | 22/659 [00:05<00:52, 12.06it/s]

→ 1000 (659 images):   4%|▍         | 26/659 [00:05<00:42, 14.83it/s]

→ 1000 (659 images):   5%|▍         | 30/659 [00:05<00:36, 17.15it/s]

→ 1000 (659 images):   5%|▌         | 34/659 [00:08<02:31,  4.12it/s]

→ 1000 (659 images):   6%|▌         | 37/659 [00:08<02:02,  5.07it/s]

→ 1000 (659 images):   6%|▌         | 40/659 [00:08<01:39,  6.24it/s]

→ 1000 (659 images):   7%|▋         | 43/659 [00:08<01:18,  7.85it/s]

→ 1000 (659 images):   7%|▋         | 46/659 [00:08<01:06,  9.17it/s]

→ 1000 (659 images):   7%|▋         | 49/659 [00:08<00:54, 11.17it/s]

→ 1000 (659 images):   8%|▊         | 53/659 [00:08<00:42, 14.12it/s]

→ 1000 (659 images):   8%|▊         | 56/659 [00:09<00:37, 16.12it/s]

→ 1000 (659 images):   9%|▉         | 59/659 [00:09<00:36, 16.63it/s]

→ 1000 (659 images):   9%|▉         | 62/659 [00:09<00:34, 17.53it/s]

→ 1000 (659 images):  10%|▉         | 65/659 [00:11<02:37,  3.78it/s]

→ 1000 (659 images):  10%|█         | 67/659 [00:12<02:31,  3.91it/s]

→ 1000 (659 images):  11%|█         | 71/659 [00:12<01:43,  5.69it/s]

→ 1000 (659 images):  11%|█▏        | 75/659 [00:12<01:13,  7.99it/s]

→ 1000 (659 images):  12%|█▏        | 77/659 [00:12<01:06,  8.76it/s]

→ 1000 (659 images):  12%|█▏        | 80/659 [00:12<00:53, 10.82it/s]

→ 1000 (659 images):  13%|█▎        | 83/659 [00:12<00:44, 12.93it/s]

→ 1000 (659 images):  13%|█▎        | 86/659 [00:12<00:38, 14.92it/s]

→ 1000 (659 images):  14%|█▎        | 89/659 [00:13<00:33, 16.82it/s]

→ 1000 (659 images):  14%|█▍        | 92/659 [00:13<00:35, 16.00it/s]

→ 1000 (659 images):  14%|█▍        | 94/659 [00:13<00:35, 16.06it/s]

→ 1000 (659 images):  15%|█▍        | 96/659 [00:13<00:34, 16.20it/s]

→ 1000 (659 images):  15%|█▍        | 98/659 [00:15<03:21,  2.78it/s]

→ 1000 (659 images):  15%|█▌        | 100/659 [00:16<02:40,  3.47it/s]

→ 1000 (659 images):  16%|█▌        | 103/659 [00:16<01:52,  4.94it/s]

→ 1000 (659 images):  16%|█▌        | 107/659 [00:16<01:13,  7.53it/s]

→ 1000 (659 images):  17%|█▋        | 109/659 [00:16<01:07,  8.21it/s]

→ 1000 (659 images):  17%|█▋        | 112/659 [00:16<00:51, 10.66it/s]

→ 1000 (659 images):  18%|█▊        | 116/659 [00:16<00:38, 14.05it/s]

→ 1000 (659 images):  18%|█▊        | 119/659 [00:17<00:34, 15.48it/s]

→ 1000 (659 images):  19%|█▊        | 122/659 [00:17<00:35, 15.19it/s]

→ 1000 (659 images):  19%|█▉        | 124/659 [00:17<00:34, 15.49it/s]

→ 1000 (659 images):  19%|█▉        | 127/659 [00:17<00:30, 17.65it/s]

→ 1000 (659 images):  20%|█▉        | 130/659 [00:20<02:42,  3.27it/s]

→ 1000 (659 images):  20%|██        | 132/659 [00:20<02:15,  3.88it/s]

→ 1000 (659 images):  20%|██        | 135/659 [00:20<01:36,  5.43it/s]

→ 1000 (659 images):  21%|██        | 138/659 [00:20<01:11,  7.33it/s]

→ 1000 (659 images):  21%|██▏       | 141/659 [00:20<00:56,  9.22it/s]

→ 1000 (659 images):  22%|██▏       | 144/659 [00:20<00:47, 10.74it/s]

→ 1000 (659 images):  22%|██▏       | 147/659 [00:20<00:38, 13.16it/s]

→ 1000 (659 images):  23%|██▎       | 150/659 [00:20<00:33, 15.41it/s]

→ 1000 (659 images):  23%|██▎       | 153/659 [00:21<00:32, 15.45it/s]

→ 1000 (659 images):  24%|██▎       | 156/659 [00:21<00:31, 15.72it/s]

→ 1000 (659 images):  24%|██▍       | 158/659 [00:21<00:31, 15.92it/s]

→ 1000 (659 images):  24%|██▍       | 160/659 [00:21<00:34, 14.39it/s]

→ 1000 (659 images):  25%|██▍       | 162/659 [00:24<02:56,  2.81it/s]

→ 1000 (659 images):  25%|██▍       | 164/659 [00:24<02:25,  3.41it/s]

→ 1000 (659 images):  25%|██▌       | 167/659 [00:24<01:38,  5.01it/s]

→ 1000 (659 images):  26%|██▌       | 171/659 [00:24<01:02,  7.76it/s]

→ 1000 (659 images):  26%|██▋       | 174/659 [00:24<00:49,  9.81it/s]

→ 1000 (659 images):  27%|██▋       | 177/659 [00:24<00:43, 11.19it/s]

→ 1000 (659 images):  27%|██▋       | 181/659 [00:24<00:32, 14.70it/s]

→ 1000 (659 images):  28%|██▊       | 184/659 [00:25<00:31, 14.90it/s]

→ 1000 (659 images):  28%|██▊       | 187/659 [00:25<00:34, 13.87it/s]

→ 1000 (659 images):  29%|██▉       | 190/659 [00:25<00:29, 16.15it/s]

→ 1000 (659 images):  29%|██▉       | 193/659 [00:27<02:09,  3.61it/s]

→ 1000 (659 images):  30%|██▉       | 195/659 [00:27<01:47,  4.31it/s]

→ 1000 (659 images):  30%|██▉       | 197/659 [00:28<01:40,  4.61it/s]

→ 1000 (659 images):  31%|███       | 201/659 [00:28<01:04,  7.14it/s]

→ 1000 (659 images):  31%|███       | 204/659 [00:28<00:49,  9.25it/s]

→ 1000 (659 images):  32%|███▏      | 208/659 [00:28<00:38, 11.71it/s]

→ 1000 (659 images):  32%|███▏      | 211/659 [00:28<00:32, 13.82it/s]

→ 1000 (659 images):  32%|███▏      | 214/659 [00:28<00:28, 15.62it/s]

→ 1000 (659 images):  33%|███▎      | 217/659 [00:29<00:29, 14.77it/s]

→ 1000 (659 images):  33%|███▎      | 220/659 [00:29<00:28, 15.48it/s]

→ 1000 (659 images):  34%|███▎      | 222/659 [00:29<00:27, 16.16it/s]

→ 1000 (659 images):  34%|███▍      | 225/659 [00:31<02:06,  3.43it/s]

→ 1000 (659 images):  34%|███▍      | 227/659 [00:31<01:44,  4.14it/s]

→ 1000 (659 images):  35%|███▍      | 229/659 [00:32<01:31,  4.68it/s]

→ 1000 (659 images):  35%|███▌      | 231/659 [00:32<01:13,  5.82it/s]

→ 1000 (659 images):  36%|███▌      | 234/659 [00:32<00:51,  8.19it/s]

→ 1000 (659 images):  36%|███▌      | 238/659 [00:32<00:36, 11.64it/s]

→ 1000 (659 images):  37%|███▋      | 242/659 [00:32<00:28, 14.86it/s]

→ 1000 (659 images):  37%|███▋      | 246/659 [00:32<00:23, 17.25it/s]

→ 1000 (659 images):  38%|███▊      | 249/659 [00:33<00:24, 16.66it/s]

→ 1000 (659 images):  38%|███▊      | 252/659 [00:33<00:23, 17.58it/s]

→ 1000 (659 images):  39%|███▊      | 255/659 [00:33<00:25, 15.91it/s]

→ 1000 (659 images):  39%|███▉      | 257/659 [00:35<01:55,  3.47it/s]

→ 1000 (659 images):  39%|███▉      | 259/659 [00:35<01:36,  4.14it/s]

→ 1000 (659 images):  40%|███▉      | 261/659 [00:36<01:24,  4.71it/s]

→ 1000 (659 images):  40%|███▉      | 263/659 [00:36<01:08,  5.74it/s]

→ 1000 (659 images):  41%|████      | 267/659 [00:36<00:44,  8.81it/s]

→ 1000 (659 images):  41%|████      | 270/659 [00:36<00:34, 11.30it/s]

→ 1000 (659 images):  42%|████▏     | 274/659 [00:36<00:26, 14.73it/s]

→ 1000 (659 images):  42%|████▏     | 277/659 [00:36<00:22, 16.76it/s]

→ 1000 (659 images):  42%|████▏     | 280/659 [00:36<00:22, 17.21it/s]

→ 1000 (659 images):  43%|████▎     | 283/659 [00:37<00:21, 17.51it/s]

→ 1000 (659 images):  43%|████▎     | 286/659 [00:37<00:25, 14.79it/s]

→ 1000 (659 images):  44%|████▎     | 288/659 [00:37<00:24, 15.18it/s]

→ 1000 (659 images):  44%|████▍     | 290/659 [00:39<01:55,  3.20it/s]

→ 1000 (659 images):  44%|████▍     | 292/659 [00:39<01:39,  3.67it/s]

→ 1000 (659 images):  45%|████▍     | 295/659 [00:40<01:12,  5.04it/s]

→ 1000 (659 images):  45%|████▌     | 299/659 [00:40<00:47,  7.63it/s]

→ 1000 (659 images):  46%|████▌     | 303/659 [00:40<00:33, 10.48it/s]

→ 1000 (659 images):  46%|████▋     | 306/659 [00:40<00:27, 12.82it/s]

→ 1000 (659 images):  47%|████▋     | 310/659 [00:40<00:23, 14.97it/s]

→ 1000 (659 images):  47%|████▋     | 313/659 [00:40<00:22, 15.41it/s]

→ 1000 (659 images):  48%|████▊     | 316/659 [00:41<00:20, 17.09it/s]

→ 1000 (659 images):  48%|████▊     | 319/659 [00:41<00:24, 14.12it/s]

→ 1000 (659 images):  49%|████▊     | 321/659 [00:43<01:37,  3.48it/s]

→ 1000 (659 images):  49%|████▉     | 323/659 [00:43<01:19,  4.22it/s]

→ 1000 (659 images):  49%|████▉     | 325/659 [00:43<01:12,  4.58it/s]

→ 1000 (659 images):  50%|████▉     | 327/659 [00:44<00:58,  5.64it/s]

→ 1000 (659 images):  50%|█████     | 332/659 [00:44<00:33,  9.66it/s]

→ 1000 (659 images):  51%|█████     | 336/659 [00:44<00:25, 12.78it/s]

→ 1000 (659 images):  51%|█████▏    | 339/659 [00:44<00:21, 14.80it/s]

→ 1000 (659 images):  52%|█████▏    | 342/659 [00:44<00:18, 16.75it/s]

→ 1000 (659 images):  52%|█████▏    | 345/659 [00:44<00:20, 15.58it/s]

→ 1000 (659 images):  53%|█████▎    | 348/659 [00:44<00:18, 16.76it/s]

→ 1000 (659 images):  53%|█████▎    | 351/659 [00:45<00:21, 14.14it/s]

→ 1000 (659 images):  54%|█████▎    | 353/659 [00:47<01:29,  3.42it/s]

→ 1000 (659 images):  54%|█████▍    | 355/659 [00:47<01:15,  4.01it/s]

→ 1000 (659 images):  54%|█████▍    | 357/659 [00:47<01:08,  4.43it/s]

→ 1000 (659 images):  54%|█████▍    | 359/659 [00:48<00:53,  5.56it/s]

→ 1000 (659 images):  55%|█████▌    | 363/659 [00:48<00:33,  8.71it/s]

→ 1000 (659 images):  56%|█████▌    | 367/659 [00:48<00:23, 12.31it/s]

→ 1000 (659 images):  56%|█████▌    | 370/659 [00:48<00:19, 14.84it/s]

→ 1000 (659 images):  57%|█████▋    | 373/659 [00:48<00:17, 16.67it/s]

→ 1000 (659 images):  57%|█████▋    | 376/659 [00:48<00:16, 16.88it/s]

→ 1000 (659 images):  58%|█████▊    | 379/659 [00:48<00:15, 18.52it/s]

→ 1000 (659 images):  58%|█████▊    | 382/659 [00:49<00:18, 14.67it/s]

→ 1000 (659 images):  58%|█████▊    | 384/659 [00:49<00:19, 13.87it/s]

→ 1000 (659 images):  59%|█████▊    | 386/659 [00:51<01:27,  3.12it/s]

→ 1000 (659 images):  59%|█████▉    | 388/659 [00:51<01:13,  3.71it/s]

→ 1000 (659 images):  59%|█████▉    | 390/659 [00:51<00:58,  4.60it/s]

→ 1000 (659 images):  60%|█████▉    | 393/659 [00:51<00:40,  6.56it/s]

→ 1000 (659 images):  60%|██████    | 396/659 [00:52<00:29,  8.85it/s]

→ 1000 (659 images):  61%|██████    | 399/659 [00:52<00:23, 11.09it/s]

→ 1000 (659 images):  61%|██████    | 402/659 [00:52<00:18, 13.71it/s]

→ 1000 (659 images):  62%|██████▏   | 406/659 [00:52<00:15, 15.95it/s]

→ 1000 (659 images):  62%|██████▏   | 409/659 [00:52<00:15, 16.24it/s]

→ 1000 (659 images):  63%|██████▎   | 412/659 [00:52<00:15, 16.10it/s]

→ 1000 (659 images):  63%|██████▎   | 414/659 [00:53<00:18, 13.36it/s]

→ 1000 (659 images):  63%|██████▎   | 416/659 [00:53<00:17, 13.83it/s]

→ 1000 (659 images):  63%|██████▎   | 418/659 [00:55<01:20,  2.98it/s]

→ 1000 (659 images):  64%|██████▎   | 420/659 [00:55<01:07,  3.57it/s]

→ 1000 (659 images):  64%|██████▍   | 422/659 [00:55<00:52,  4.55it/s]

→ 1000 (659 images):  65%|██████▍   | 426/659 [00:56<00:32,  7.22it/s]

→ 1000 (659 images):  65%|██████▍   | 428/659 [00:56<00:27,  8.37it/s]

→ 1000 (659 images):  66%|██████▌   | 432/659 [00:56<00:19, 11.85it/s]

→ 1000 (659 images):  66%|██████▌   | 435/659 [00:56<00:16, 13.99it/s]

→ 1000 (659 images):  66%|██████▋   | 438/659 [00:56<00:13, 16.02it/s]

→ 1000 (659 images):  67%|██████▋   | 441/659 [00:56<00:14, 15.56it/s]

→ 1000 (659 images):  67%|██████▋   | 444/659 [00:56<00:15, 13.97it/s]

→ 1000 (659 images):  68%|██████▊   | 446/659 [00:57<00:14, 14.42it/s]

→ 1000 (659 images):  68%|██████▊   | 448/659 [00:57<00:16, 13.01it/s]

→ 1000 (659 images):  68%|██████▊   | 450/659 [00:59<01:10,  2.95it/s]

→ 1000 (659 images):  69%|██████▊   | 452/659 [00:59<00:58,  3.56it/s]

→ 1000 (659 images):  69%|██████▉   | 454/659 [00:59<00:45,  4.48it/s]

→ 1000 (659 images):  69%|██████▉   | 457/659 [01:00<00:31,  6.36it/s]

→ 1000 (659 images):  70%|██████▉   | 460/659 [01:00<00:23,  8.38it/s]

→ 1000 (659 images):  70%|███████   | 462/659 [01:00<00:20,  9.77it/s]

→ 1000 (659 images):  71%|███████   | 466/659 [01:00<00:13, 13.80it/s]

→ 1000 (659 images):  71%|███████   | 469/659 [01:00<00:12, 15.55it/s]

→ 1000 (659 images):  72%|███████▏  | 472/659 [01:00<00:12, 15.33it/s]

→ 1000 (659 images):  72%|███████▏  | 475/659 [01:00<00:12, 14.97it/s]

→ 1000 (659 images):  72%|███████▏  | 477/659 [01:01<00:13, 13.81it/s]

→ 1000 (659 images):  73%|███████▎  | 479/659 [01:01<00:15, 11.48it/s]

→ 1000 (659 images):  73%|███████▎  | 481/659 [01:03<00:57,  3.10it/s]

→ 1000 (659 images):  73%|███████▎  | 482/659 [01:03<00:53,  3.33it/s]

→ 1000 (659 images):  73%|███████▎  | 483/659 [01:03<00:46,  3.75it/s]

→ 1000 (659 images):  73%|███████▎  | 484/659 [01:03<00:41,  4.23it/s]

→ 1000 (659 images):  74%|███████▎  | 486/659 [01:03<00:29,  5.92it/s]

→ 1000 (659 images):  74%|███████▍  | 489/659 [01:04<00:18,  8.98it/s]

→ 1000 (659 images):  75%|███████▍  | 491/659 [01:04<00:15, 10.64it/s]

→ 1000 (659 images):  75%|███████▍  | 493/659 [01:04<00:13, 12.32it/s]

→ 1000 (659 images):  75%|███████▌  | 496/659 [01:04<00:10, 15.20it/s]

→ 1000 (659 images):  76%|███████▌  | 499/659 [01:04<00:08, 18.08it/s]

→ 1000 (659 images):  76%|███████▌  | 502/659 [01:04<00:08, 17.83it/s]

→ 1000 (659 images):  77%|███████▋  | 505/659 [01:04<00:08, 18.33it/s]

→ 1000 (659 images):  77%|███████▋  | 508/659 [01:05<00:09, 16.03it/s]

→ 1000 (659 images):  77%|███████▋  | 510/659 [01:05<00:10, 13.87it/s]

→ 1000 (659 images):  78%|███████▊  | 512/659 [01:05<00:13, 11.05it/s]

→ 1000 (659 images):  78%|███████▊  | 514/659 [01:07<00:49,  2.91it/s]

→ 1000 (659 images):  78%|███████▊  | 516/659 [01:07<00:39,  3.64it/s]

→ 1000 (659 images):  79%|███████▉  | 519/659 [01:07<00:26,  5.36it/s]

→ 1000 (659 images):  79%|███████▉  | 521/659 [01:08<00:22,  6.26it/s]

→ 1000 (659 images):  80%|███████▉  | 524/659 [01:08<00:15,  8.71it/s]

→ 1000 (659 images):  80%|███████▉  | 527/659 [01:08<00:11, 11.11it/s]

→ 1000 (659 images):  80%|████████  | 530/659 [01:08<00:09, 13.25it/s]

→ 1000 (659 images):  81%|████████  | 533/659 [01:08<00:08, 15.33it/s]

→ 1000 (659 images):  81%|████████▏ | 536/659 [01:08<00:08, 15.21it/s]

→ 1000 (659 images):  82%|████████▏ | 539/659 [01:09<00:08, 13.51it/s]

→ 1000 (659 images):  82%|████████▏ | 542/659 [01:09<00:08, 13.76it/s]

→ 1000 (659 images):  83%|████████▎ | 544/659 [01:09<00:10, 11.03it/s]

→ 1000 (659 images):  83%|████████▎ | 546/659 [01:11<00:36,  3.09it/s]

→ 1000 (659 images):  83%|████████▎ | 548/659 [01:11<00:28,  3.95it/s]

→ 1000 (659 images):  83%|████████▎ | 550/659 [01:11<00:22,  4.77it/s]

→ 1000 (659 images):  84%|████████▍ | 552/659 [01:12<00:18,  5.91it/s]

→ 1000 (659 images):  84%|████████▍ | 555/659 [01:12<00:12,  8.39it/s]

→ 1000 (659 images):  85%|████████▍ | 559/659 [01:12<00:08, 12.15it/s]

→ 1000 (659 images):  85%|████████▌ | 563/659 [01:12<00:06, 15.95it/s]

→ 1000 (659 images):  86%|████████▌ | 566/659 [01:12<00:05, 15.53it/s]

→ 1000 (659 images):  86%|████████▋ | 569/659 [01:12<00:05, 17.63it/s]

→ 1000 (659 images):  87%|████████▋ | 572/659 [01:13<00:06, 13.55it/s]

→ 1000 (659 images):  87%|████████▋ | 574/659 [01:13<00:06, 13.03it/s]

→ 1000 (659 images):  87%|████████▋ | 576/659 [01:13<00:08, 10.06it/s]

→ 1000 (659 images):  88%|████████▊ | 578/659 [01:15<00:26,  3.06it/s]

→ 1000 (659 images):  88%|████████▊ | 581/659 [01:15<00:18,  4.24it/s]

→ 1000 (659 images):  88%|████████▊ | 583/659 [01:15<00:14,  5.15it/s]

→ 1000 (659 images):  89%|████████▉ | 586/659 [01:16<00:10,  7.11it/s]

→ 1000 (659 images):  90%|████████▉ | 590/659 [01:16<00:06, 10.54it/s]

→ 1000 (659 images):  90%|████████▉ | 593/659 [01:16<00:05, 13.01it/s]

→ 1000 (659 images):  90%|█████████ | 596/659 [01:16<00:04, 14.87it/s]

→ 1000 (659 images):  91%|█████████ | 599/659 [01:16<00:03, 15.69it/s]

→ 1000 (659 images):  91%|█████████▏| 602/659 [01:16<00:03, 17.22it/s]

→ 1000 (659 images):  92%|█████████▏| 605/659 [01:17<00:04, 11.36it/s]

→ 1000 (659 images):  92%|█████████▏| 607/659 [01:17<00:04, 11.02it/s]

→ 1000 (659 images):  92%|█████████▏| 609/659 [01:19<00:15,  3.20it/s]

→ 1000 (659 images):  93%|█████████▎| 611/659 [01:19<00:11,  4.03it/s]

→ 1000 (659 images):  93%|█████████▎| 613/659 [01:19<00:09,  4.93it/s]

→ 1000 (659 images):  93%|█████████▎| 615/659 [01:19<00:07,  5.59it/s]

→ 1000 (659 images):  94%|█████████▍| 618/659 [01:20<00:05,  7.97it/s]

→ 1000 (659 images):  94%|█████████▍| 622/659 [01:20<00:03, 11.55it/s]

→ 1000 (659 images):  95%|█████████▍| 626/659 [01:20<00:02, 15.09it/s]

→ 1000 (659 images):  95%|█████████▌| 629/659 [01:20<00:01, 17.56it/s]

→ 1000 (659 images):  96%|█████████▌| 632/659 [01:20<00:01, 19.00it/s]

→ 1000 (659 images):  96%|█████████▋| 635/659 [01:20<00:01, 18.12it/s]

→ 1000 (659 images):  97%|█████████▋| 638/659 [01:20<00:01, 16.06it/s]

→ 1000 (659 images):  97%|█████████▋| 640/659 [01:21<00:01, 11.80it/s]

→ 1000 (659 images):  97%|█████████▋| 642/659 [01:22<00:03,  5.32it/s]

→ 1000 (659 images):  98%|█████████▊| 645/659 [01:22<00:01,  7.30it/s]

→ 1000 (659 images):  98%|█████████▊| 649/659 [01:22<00:00, 10.24it/s]

→ 1000 (659 images):  99%|█████████▉| 652/659 [01:22<00:00, 11.12it/s]

→ 1000 (659 images):  99%|█████████▉| 654/659 [01:22<00:00, 11.35it/s]

→ 1000 (659 images): 100%|█████████▉| 656/659 [01:23<00:00, 10.67it/s]

                                                                      
📁 Processing Rigs:  67%|██████▋   | 2/3 [02:28<01:15, 75.83s/it]

→ 1500 (1349 images):   0%|          | 0/1349 [00:00<?, ?it/s]

→ 1500 (1349 images):   0%|          | 1/1349 [00:04<1:46:29,  4.74s/it]

→ 1500 (1349 images):   0%|          | 3/1349 [00:04<28:29,  1.27s/it]  

→ 1500 (1349 images):   0%|          | 5/1349 [00:05<15:57,  1.40it/s]

→ 1500 (1349 images):   1%|          | 11/1349 [00:05<05:15,  4.24it/s]

→ 1500 (1349 images):   1%|          | 16/1349 [00:05<03:04,  7.22it/s]

→ 1500 (1349 images):   2%|▏         | 21/1349 [00:05<02:03, 10.75it/s]

→ 1500 (1349 images):   2%|▏         | 26/1349 [00:05<01:29, 14.73it/s]

→ 1500 (1349 images):   2%|▏         | 30/1349 [00:05<01:15, 17.49it/s]

→ 1500 (1349 images):   3%|▎         | 34/1349 [00:08<05:01,  4.37it/s]

→ 1500 (1349 images):   3%|▎         | 37/1349 [00:08<04:33,  4.80it/s]

→ 1500 (1349 images):   3%|▎         | 40/1349 [00:08<03:34,  6.10it/s]

→ 1500 (1349 images):   3%|▎         | 43/1349 [00:09<02:56,  7.41it/s]

→ 1500 (1349 images):   3%|▎         | 47/1349 [00:09<02:09, 10.08it/s]

→ 1500 (1349 images):   4%|▍         | 51/1349 [00:09<01:39, 13.04it/s]

→ 1500 (1349 images):   4%|▍         | 54/1349 [00:09<01:25, 15.18it/s]

→ 1500 (1349 images):   4%|▍         | 58/1349 [00:09<01:10, 18.33it/s]

→ 1500 (1349 images):   5%|▍         | 61/1349 [00:09<01:09, 18.54it/s]

→ 1500 (1349 images):   5%|▍         | 65/1349 [00:11<04:45,  4.50it/s]

→ 1500 (1349 images):   5%|▍         | 67/1349 [00:12<04:39,  4.59it/s]

→ 1500 (1349 images):   5%|▌         | 69/1349 [00:12<04:21,  4.90it/s]

→ 1500 (1349 images):   5%|▌         | 73/1349 [00:12<02:54,  7.29it/s]

→ 1500 (1349 images):   6%|▌         | 76/1349 [00:12<02:19,  9.13it/s]

→ 1500 (1349 images):   6%|▌         | 80/1349 [00:12<01:41, 12.52it/s]

→ 1500 (1349 images):   6%|▌         | 83/1349 [00:13<01:26, 14.71it/s]

→ 1500 (1349 images):   6%|▋         | 86/1349 [00:13<01:18, 16.18it/s]

→ 1500 (1349 images):   7%|▋         | 90/1349 [00:13<01:05, 19.34it/s]

→ 1500 (1349 images):   7%|▋         | 93/1349 [00:13<01:09, 18.14it/s]

→ 1500 (1349 images):   7%|▋         | 97/1349 [00:15<04:41,  4.45it/s]

→ 1500 (1349 images):   7%|▋         | 99/1349 [00:16<04:39,  4.47it/s]

→ 1500 (1349 images):   7%|▋         | 101/1349 [00:16<04:14,  4.90it/s]

→ 1500 (1349 images):   8%|▊         | 105/1349 [00:16<02:49,  7.33it/s]

→ 1500 (1349 images):   8%|▊         | 108/1349 [00:16<02:12,  9.36it/s]

→ 1500 (1349 images):   8%|▊         | 111/1349 [00:16<01:47, 11.48it/s]

→ 1500 (1349 images):   9%|▊         | 115/1349 [00:16<01:23, 14.77it/s]

→ 1500 (1349 images):   9%|▉         | 119/1349 [00:17<01:08, 18.02it/s]

→ 1500 (1349 images):   9%|▉         | 122/1349 [00:17<01:03, 19.33it/s]

→ 1500 (1349 images):   9%|▉         | 125/1349 [00:17<01:08, 17.97it/s]

→ 1500 (1349 images):   9%|▉         | 128/1349 [00:17<01:02, 19.42it/s]

→ 1500 (1349 images):  10%|▉         | 131/1349 [00:20<05:38,  3.60it/s]

→ 1500 (1349 images):  10%|▉         | 133/1349 [00:20<05:00,  4.04it/s]

→ 1500 (1349 images):  10%|█         | 137/1349 [00:20<03:18,  6.12it/s]

→ 1500 (1349 images):  10%|█         | 141/1349 [00:20<02:19,  8.63it/s]

→ 1500 (1349 images):  11%|█         | 144/1349 [00:20<01:59, 10.11it/s]

→ 1500 (1349 images):  11%|█         | 147/1349 [00:20<01:37, 12.27it/s]

→ 1500 (1349 images):  11%|█         | 151/1349 [00:20<01:14, 16.17it/s]

→ 1500 (1349 images):  11%|█▏        | 154/1349 [00:21<01:07, 17.70it/s]

→ 1500 (1349 images):  12%|█▏        | 157/1349 [00:21<01:09, 17.07it/s]

→ 1500 (1349 images):  12%|█▏        | 160/1349 [00:21<01:09, 16.99it/s]

→ 1500 (1349 images):  12%|█▏        | 163/1349 [00:23<05:33,  3.56it/s]

→ 1500 (1349 images):  12%|█▏        | 165/1349 [00:24<04:51,  4.07it/s]

→ 1500 (1349 images):  13%|█▎        | 169/1349 [00:24<03:12,  6.12it/s]

→ 1500 (1349 images):  13%|█▎        | 173/1349 [00:24<02:23,  8.22it/s]

→ 1500 (1349 images):  13%|█▎        | 176/1349 [00:24<01:55, 10.15it/s]

→ 1500 (1349 images):  13%|█▎        | 180/1349 [00:24<01:30, 12.88it/s]

→ 1500 (1349 images):  14%|█▎        | 183/1349 [00:24<01:18, 14.79it/s]

→ 1500 (1349 images):  14%|█▍        | 186/1349 [00:24<01:07, 17.13it/s]

→ 1500 (1349 images):  14%|█▍        | 189/1349 [00:25<01:12, 16.05it/s]

→ 1500 (1349 images):  14%|█▍        | 192/1349 [00:25<01:07, 17.22it/s]

→ 1500 (1349 images):  14%|█▍        | 195/1349 [00:27<05:22,  3.58it/s]

→ 1500 (1349 images):  15%|█▍        | 197/1349 [00:27<04:27,  4.31it/s]

→ 1500 (1349 images):  15%|█▍        | 199/1349 [00:27<03:44,  5.12it/s]

→ 1500 (1349 images):  15%|█▍        | 202/1349 [00:28<02:42,  7.05it/s]

→ 1500 (1349 images):  15%|█▌        | 205/1349 [00:28<02:03,  9.27it/s]

→ 1500 (1349 images):  15%|█▌        | 208/1349 [00:28<01:38, 11.54it/s]

→ 1500 (1349 images):  16%|█▌        | 211/1349 [00:28<01:24, 13.45it/s]

→ 1500 (1349 images):  16%|█▌        | 214/1349 [00:28<01:10, 16.15it/s]

→ 1500 (1349 images):  16%|█▌        | 217/1349 [00:28<01:04, 17.62it/s]

→ 1500 (1349 images):  16%|█▋        | 220/1349 [00:28<01:09, 16.26it/s]

→ 1500 (1349 images):  17%|█▋        | 223/1349 [00:29<01:08, 16.55it/s]

→ 1500 (1349 images):  17%|█▋        | 225/1349 [00:31<05:05,  3.68it/s]

→ 1500 (1349 images):  17%|█▋        | 227/1349 [00:31<04:55,  3.80it/s]

→ 1500 (1349 images):  17%|█▋        | 229/1349 [00:31<04:00,  4.67it/s]

→ 1500 (1349 images):  17%|█▋        | 232/1349 [00:31<02:51,  6.50it/s]

→ 1500 (1349 images):  17%|█▋        | 235/1349 [00:31<02:08,  8.69it/s]

→ 1500 (1349 images):  18%|█▊        | 238/1349 [00:32<01:38, 11.24it/s]

→ 1500 (1349 images):  18%|█▊        | 241/1349 [00:32<01:28, 12.54it/s]

→ 1500 (1349 images):  18%|█▊        | 244/1349 [00:32<01:15, 14.66it/s]

→ 1500 (1349 images):  18%|█▊        | 247/1349 [00:32<01:10, 15.55it/s]

→ 1500 (1349 images):  19%|█▊        | 250/1349 [00:32<01:09, 15.87it/s]

→ 1500 (1349 images):  19%|█▊        | 252/1349 [00:32<01:11, 15.43it/s]

→ 1500 (1349 images):  19%|█▉        | 254/1349 [00:32<01:07, 16.20it/s]

→ 1500 (1349 images):  19%|█▉        | 256/1349 [00:33<01:14, 14.73it/s]

→ 1500 (1349 images):  19%|█▉        | 258/1349 [00:35<06:18,  2.88it/s]

→ 1500 (1349 images):  19%|█▉        | 260/1349 [00:35<05:06,  3.55it/s]

→ 1500 (1349 images):  19%|█▉        | 262/1349 [00:35<03:55,  4.62it/s]

→ 1500 (1349 images):  20%|█▉        | 264/1349 [00:35<03:03,  5.90it/s]

→ 1500 (1349 images):  20%|█▉        | 268/1349 [00:35<01:55,  9.37it/s]

→ 1500 (1349 images):  20%|██        | 271/1349 [00:36<01:29, 11.98it/s]

→ 1500 (1349 images):  20%|██        | 274/1349 [00:36<01:22, 12.97it/s]

→ 1500 (1349 images):  21%|██        | 277/1349 [00:36<01:13, 14.52it/s]

→ 1500 (1349 images):  21%|██        | 280/1349 [00:36<01:05, 16.27it/s]

→ 1500 (1349 images):  21%|██        | 283/1349 [00:36<01:15, 14.20it/s]

→ 1500 (1349 images):  21%|██        | 286/1349 [00:36<01:08, 15.61it/s]

→ 1500 (1349 images):  21%|██▏       | 288/1349 [00:37<01:19, 13.36it/s]

→ 1500 (1349 images):  21%|██▏       | 290/1349 [00:39<05:33,  3.18it/s]

→ 1500 (1349 images):  22%|██▏       | 292/1349 [00:39<04:36,  3.82it/s]

→ 1500 (1349 images):  22%|██▏       | 294/1349 [00:39<03:36,  4.87it/s]

→ 1500 (1349 images):  22%|██▏       | 297/1349 [00:39<02:29,  7.01it/s]

→ 1500 (1349 images):  22%|██▏       | 300/1349 [00:39<01:59,  8.79it/s]

→ 1500 (1349 images):  22%|██▏       | 303/1349 [00:39<01:31, 11.38it/s]

→ 1500 (1349 images):  23%|██▎       | 306/1349 [00:40<01:22, 12.59it/s]

→ 1500 (1349 images):  23%|██▎       | 309/1349 [00:40<01:11, 14.53it/s]

→ 1500 (1349 images):  23%|██▎       | 312/1349 [00:40<01:09, 15.03it/s]

→ 1500 (1349 images):  23%|██▎       | 314/1349 [00:40<01:13, 13.99it/s]

→ 1500 (1349 images):  23%|██▎       | 317/1349 [00:40<01:09, 14.84it/s]

→ 1500 (1349 images):  24%|██▎       | 320/1349 [00:41<01:08, 15.09it/s]

→ 1500 (1349 images):  24%|██▍       | 322/1349 [00:43<05:21,  3.19it/s]

→ 1500 (1349 images):  24%|██▍       | 324/1349 [00:43<04:26,  3.85it/s]

→ 1500 (1349 images):  24%|██▍       | 328/1349 [00:43<02:46,  6.12it/s]

→ 1500 (1349 images):  24%|██▍       | 330/1349 [00:43<02:30,  6.79it/s]

→ 1500 (1349 images):  25%|██▍       | 333/1349 [00:43<01:57,  8.65it/s]

→ 1500 (1349 images):  25%|██▍       | 336/1349 [00:44<01:35, 10.58it/s]

→ 1500 (1349 images):  25%|██▌       | 339/1349 [00:44<01:19, 12.75it/s]

→ 1500 (1349 images):  25%|██▌       | 342/1349 [00:44<01:12, 13.85it/s]

→ 1500 (1349 images):  26%|██▌       | 345/1349 [00:44<01:02, 16.15it/s]

→ 1500 (1349 images):  26%|██▌       | 348/1349 [00:44<01:06, 15.15it/s]

→ 1500 (1349 images):  26%|██▌       | 350/1349 [00:44<01:06, 14.94it/s]

→ 1500 (1349 images):  26%|██▌       | 352/1349 [00:45<01:15, 13.14it/s]

→ 1500 (1349 images):  26%|██▌       | 354/1349 [00:47<05:37,  2.95it/s]

→ 1500 (1349 images):  26%|██▋       | 356/1349 [00:47<04:23,  3.76it/s]

→ 1500 (1349 images):  27%|██▋       | 360/1349 [00:47<02:40,  6.15it/s]

→ 1500 (1349 images):  27%|██▋       | 362/1349 [00:47<02:15,  7.26it/s]

→ 1500 (1349 images):  27%|██▋       | 364/1349 [00:47<01:59,  8.21it/s]

→ 1500 (1349 images):  27%|██▋       | 367/1349 [00:47<01:30, 10.80it/s]

→ 1500 (1349 images):  27%|██▋       | 369/1349 [00:48<01:25, 11.41it/s]

→ 1500 (1349 images):  28%|██▊       | 371/1349 [00:48<01:17, 12.69it/s]

→ 1500 (1349 images):  28%|██▊       | 374/1349 [00:48<01:07, 14.43it/s]

→ 1500 (1349 images):  28%|██▊       | 376/1349 [00:48<01:06, 14.65it/s]

→ 1500 (1349 images):  28%|██▊       | 378/1349 [00:48<01:03, 15.28it/s]

→ 1500 (1349 images):  28%|██▊       | 380/1349 [00:48<01:00, 15.96it/s]

→ 1500 (1349 images):  28%|██▊       | 382/1349 [00:48<01:00, 16.02it/s]

→ 1500 (1349 images):  28%|██▊       | 384/1349 [00:48<01:11, 13.56it/s]

→ 1500 (1349 images):  29%|██▊       | 386/1349 [00:51<05:58,  2.69it/s]

→ 1500 (1349 images):  29%|██▉       | 388/1349 [00:51<04:29,  3.56it/s]

→ 1500 (1349 images):  29%|██▉       | 391/1349 [00:51<02:57,  5.40it/s]

→ 1500 (1349 images):  29%|██▉       | 394/1349 [00:51<02:09,  7.35it/s]

→ 1500 (1349 images):  29%|██▉       | 396/1349 [00:51<01:52,  8.44it/s]

→ 1500 (1349 images):  30%|██▉       | 400/1349 [00:51<01:29, 10.63it/s]

→ 1500 (1349 images):  30%|██▉       | 402/1349 [00:52<01:21, 11.56it/s]

→ 1500 (1349 images):  30%|███       | 405/1349 [00:52<01:06, 14.13it/s]

→ 1500 (1349 images):  30%|███       | 407/1349 [00:52<01:11, 13.12it/s]

→ 1500 (1349 images):  30%|███       | 410/1349 [00:52<00:59, 15.66it/s]

→ 1500 (1349 images):  31%|███       | 412/1349 [00:52<01:05, 14.22it/s]

→ 1500 (1349 images):  31%|███       | 414/1349 [00:52<01:01, 15.10it/s]

→ 1500 (1349 images):  31%|███       | 416/1349 [00:52<01:01, 15.05it/s]

→ 1500 (1349 images):  31%|███       | 418/1349 [00:55<05:34,  2.78it/s]

→ 1500 (1349 images):  31%|███       | 421/1349 [00:55<03:44,  4.13it/s]

→ 1500 (1349 images):  31%|███▏      | 423/1349 [00:55<02:57,  5.21it/s]

→ 1500 (1349 images):  32%|███▏      | 426/1349 [00:55<02:07,  7.26it/s]

→ 1500 (1349 images):  32%|███▏      | 429/1349 [00:55<01:39,  9.23it/s]

→ 1500 (1349 images):  32%|███▏      | 432/1349 [00:55<01:19, 11.50it/s]

→ 1500 (1349 images):  32%|███▏      | 435/1349 [00:56<01:20, 11.39it/s]

→ 1500 (1349 images):  32%|███▏      | 438/1349 [00:56<01:12, 12.59it/s]

→ 1500 (1349 images):  33%|███▎      | 440/1349 [00:56<01:10, 12.96it/s]

→ 1500 (1349 images):  33%|███▎      | 443/1349 [00:56<00:59, 15.28it/s]

→ 1500 (1349 images):  33%|███▎      | 445/1349 [00:56<00:56, 15.91it/s]

→ 1500 (1349 images):  33%|███▎      | 447/1349 [00:56<01:00, 14.83it/s]

→ 1500 (1349 images):  33%|███▎      | 449/1349 [00:58<04:20,  3.45it/s]

→ 1500 (1349 images):  33%|███▎      | 451/1349 [00:59<04:16,  3.49it/s]

→ 1500 (1349 images):  34%|███▎      | 453/1349 [00:59<03:18,  4.52it/s]

→ 1500 (1349 images):  34%|███▍      | 456/1349 [00:59<02:14,  6.64it/s]

→ 1500 (1349 images):  34%|███▍      | 458/1349 [00:59<01:50,  8.04it/s]

→ 1500 (1349 images):  34%|███▍      | 460/1349 [00:59<01:33,  9.55it/s]

→ 1500 (1349 images):  34%|███▍      | 462/1349 [00:59<01:22, 10.74it/s]

→ 1500 (1349 images):  34%|███▍      | 465/1349 [00:59<01:23, 10.63it/s]

→ 1500 (1349 images):  35%|███▍      | 469/1349 [01:00<00:59, 14.84it/s]

→ 1500 (1349 images):  35%|███▍      | 472/1349 [01:00<01:00, 14.60it/s]

→ 1500 (1349 images):  35%|███▌      | 474/1349 [01:00<00:58, 14.84it/s]

→ 1500 (1349 images):  35%|███▌      | 476/1349 [01:00<00:56, 15.55it/s]

→ 1500 (1349 images):  36%|███▌      | 479/1349 [01:00<00:51, 16.86it/s]

→ 1500 (1349 images):  36%|███▌      | 481/1349 [01:02<03:59,  3.63it/s]

→ 1500 (1349 images):  36%|███▌      | 483/1349 [01:02<03:48,  3.79it/s]

→ 1500 (1349 images):  36%|███▌      | 485/1349 [01:03<03:04,  4.68it/s]

→ 1500 (1349 images):  36%|███▌      | 488/1349 [01:03<02:14,  6.40it/s]

→ 1500 (1349 images):  36%|███▋      | 491/1349 [01:03<01:38,  8.68it/s]

→ 1500 (1349 images):  37%|███▋      | 494/1349 [01:03<01:21, 10.45it/s]

→ 1500 (1349 images):  37%|███▋      | 497/1349 [01:03<01:19, 10.73it/s]

→ 1500 (1349 images):  37%|███▋      | 500/1349 [01:03<01:04, 13.15it/s]

→ 1500 (1349 images):  37%|███▋      | 502/1349 [01:04<01:07, 12.53it/s]

→ 1500 (1349 images):  38%|███▊      | 506/1349 [01:04<00:55, 15.27it/s]

→ 1500 (1349 images):  38%|███▊      | 509/1349 [01:04<00:48, 17.42it/s]

→ 1500 (1349 images):  38%|███▊      | 512/1349 [01:04<00:56, 14.71it/s]

→ 1500 (1349 images):  38%|███▊      | 514/1349 [01:06<03:57,  3.52it/s]

→ 1500 (1349 images):  38%|███▊      | 516/1349 [01:06<03:11,  4.36it/s]

→ 1500 (1349 images):  38%|███▊      | 518/1349 [01:07<02:40,  5.19it/s]

→ 1500 (1349 images):  39%|███▊      | 521/1349 [01:07<01:54,  7.20it/s]

→ 1500 (1349 images):  39%|███▉      | 524/1349 [01:07<01:27,  9.39it/s]

→ 1500 (1349 images):  39%|███▉      | 526/1349 [01:07<01:17, 10.60it/s]

→ 1500 (1349 images):  39%|███▉      | 528/1349 [01:07<01:08, 12.01it/s]

→ 1500 (1349 images):  39%|███▉      | 530/1349 [01:07<01:11, 11.44it/s]

→ 1500 (1349 images):  39%|███▉      | 532/1349 [01:07<01:09, 11.74it/s]

→ 1500 (1349 images):  40%|███▉      | 535/1349 [01:08<00:53, 15.13it/s]

→ 1500 (1349 images):  40%|███▉      | 538/1349 [01:08<00:50, 16.19it/s]

→ 1500 (1349 images):  40%|████      | 540/1349 [01:08<00:47, 16.88it/s]

→ 1500 (1349 images):  40%|████      | 543/1349 [01:08<00:41, 19.36it/s]

→ 1500 (1349 images):  40%|████      | 546/1349 [01:10<03:48,  3.51it/s]

→ 1500 (1349 images):  41%|████      | 548/1349 [01:10<03:05,  4.32it/s]

→ 1500 (1349 images):  41%|████      | 550/1349 [01:10<02:36,  5.10it/s]

→ 1500 (1349 images):  41%|████      | 553/1349 [01:11<01:52,  7.10it/s]

→ 1500 (1349 images):  41%|████      | 556/1349 [01:11<01:27,  9.11it/s]

→ 1500 (1349 images):  41%|████▏     | 559/1349 [01:11<01:08, 11.54it/s]

→ 1500 (1349 images):  42%|████▏     | 562/1349 [01:11<01:01, 12.70it/s]

→ 1500 (1349 images):  42%|████▏     | 564/1349 [01:11<01:09, 11.30it/s]

→ 1500 (1349 images):  42%|████▏     | 568/1349 [01:11<00:51, 15.14it/s]

→ 1500 (1349 images):  42%|████▏     | 571/1349 [01:12<00:46, 16.67it/s]

→ 1500 (1349 images):  43%|████▎     | 574/1349 [01:12<00:46, 16.83it/s]

→ 1500 (1349 images):  43%|████▎     | 576/1349 [01:12<00:48, 16.05it/s]

→ 1500 (1349 images):  43%|████▎     | 578/1349 [01:14<03:46,  3.40it/s]

→ 1500 (1349 images):  43%|████▎     | 580/1349 [01:14<03:10,  4.04it/s]

→ 1500 (1349 images):  43%|████▎     | 583/1349 [01:14<02:20,  5.47it/s]

→ 1500 (1349 images):  43%|████▎     | 586/1349 [01:14<01:44,  7.32it/s]

→ 1500 (1349 images):  44%|████▎     | 590/1349 [01:15<01:12, 10.50it/s]

→ 1500 (1349 images):  44%|████▍     | 593/1349 [01:15<00:59, 12.62it/s]

→ 1500 (1349 images):  44%|████▍     | 596/1349 [01:15<01:02, 12.01it/s]

→ 1500 (1349 images):  44%|████▍     | 598/1349 [01:15<00:57, 12.99it/s]

→ 1500 (1349 images):  44%|████▍     | 600/1349 [01:15<00:56, 13.37it/s]

→ 1500 (1349 images):  45%|████▍     | 603/1349 [01:15<00:46, 15.87it/s]

→ 1500 (1349 images):  45%|████▍     | 605/1349 [01:15<00:47, 15.76it/s]

→ 1500 (1349 images):  45%|████▌     | 608/1349 [01:16<00:51, 14.29it/s]

→ 1500 (1349 images):  45%|████▌     | 610/1349 [01:18<03:34,  3.45it/s]

→ 1500 (1349 images):  45%|████▌     | 612/1349 [01:18<03:02,  4.04it/s]

→ 1500 (1349 images):  46%|████▌     | 615/1349 [01:18<02:17,  5.35it/s]

→ 1500 (1349 images):  46%|████▌     | 618/1349 [01:18<01:40,  7.28it/s]

→ 1500 (1349 images):  46%|████▌     | 622/1349 [01:18<01:09, 10.40it/s]

→ 1500 (1349 images):  46%|████▋     | 625/1349 [01:19<01:00, 11.90it/s]

→ 1500 (1349 images):  46%|████▋     | 627/1349 [01:19<01:02, 11.61it/s]

→ 1500 (1349 images):  47%|████▋     | 629/1349 [01:19<00:57, 12.46it/s]

→ 1500 (1349 images):  47%|████▋     | 632/1349 [01:19<00:48, 14.86it/s]

→ 1500 (1349 images):  47%|████▋     | 634/1349 [01:19<00:49, 14.50it/s]

→ 1500 (1349 images):  47%|████▋     | 636/1349 [01:19<00:45, 15.60it/s]

→ 1500 (1349 images):  47%|████▋     | 639/1349 [01:19<00:42, 16.75it/s]

→ 1500 (1349 images):  48%|████▊     | 641/1349 [01:21<03:06,  3.81it/s]

→ 1500 (1349 images):  48%|████▊     | 643/1349 [01:22<03:03,  3.85it/s]

→ 1500 (1349 images):  48%|████▊     | 645/1349 [01:22<02:23,  4.89it/s]

→ 1500 (1349 images):  48%|████▊     | 647/1349 [01:22<01:55,  6.10it/s]

→ 1500 (1349 images):  48%|████▊     | 649/1349 [01:22<01:41,  6.91it/s]

→ 1500 (1349 images):  48%|████▊     | 653/1349 [01:22<01:07, 10.38it/s]

→ 1500 (1349 images):  49%|████▊     | 657/1349 [01:22<00:50, 13.71it/s]

→ 1500 (1349 images):  49%|████▉     | 659/1349 [01:22<00:49, 13.96it/s]

→ 1500 (1349 images):  49%|████▉     | 661/1349 [01:23<00:52, 13.18it/s]

→ 1500 (1349 images):  49%|████▉     | 663/1349 [01:23<00:50, 13.53it/s]

→ 1500 (1349 images):  49%|████▉     | 666/1349 [01:23<00:47, 14.41it/s]

→ 1500 (1349 images):  50%|████▉     | 669/1349 [01:23<00:41, 16.54it/s]

→ 1500 (1349 images):  50%|████▉     | 672/1349 [01:24<00:55, 12.13it/s]

→ 1500 (1349 images):  50%|████▉     | 674/1349 [01:25<03:00,  3.74it/s]

→ 1500 (1349 images):  50%|█████     | 676/1349 [01:25<02:33,  4.38it/s]

→ 1500 (1349 images):  50%|█████     | 678/1349 [01:26<02:05,  5.33it/s]

→ 1500 (1349 images):  50%|█████     | 680/1349 [01:26<01:52,  5.96it/s]

→ 1500 (1349 images):  51%|█████     | 683/1349 [01:26<01:20,  8.30it/s]

→ 1500 (1349 images):  51%|█████     | 687/1349 [01:26<00:54, 12.21it/s]

→ 1500 (1349 images):  51%|█████     | 690/1349 [01:26<00:49, 13.28it/s]

→ 1500 (1349 images):  51%|█████▏    | 692/1349 [01:26<00:49, 13.21it/s]

→ 1500 (1349 images):  51%|█████▏    | 694/1349 [01:27<00:49, 13.29it/s]

→ 1500 (1349 images):  52%|█████▏    | 696/1349 [01:27<00:47, 13.79it/s]

→ 1500 (1349 images):  52%|█████▏    | 699/1349 [01:27<00:46, 14.09it/s]

→ 1500 (1349 images):  52%|█████▏    | 702/1349 [01:27<00:40, 16.15it/s]

→ 1500 (1349 images):  52%|█████▏    | 704/1349 [01:27<00:54, 11.75it/s]

→ 1500 (1349 images):  52%|█████▏    | 706/1349 [01:29<03:05,  3.46it/s]

→ 1500 (1349 images):  52%|█████▏    | 708/1349 [01:29<02:25,  4.39it/s]

→ 1500 (1349 images):  53%|█████▎    | 710/1349 [01:29<02:05,  5.08it/s]

→ 1500 (1349 images):  53%|█████▎    | 712/1349 [01:30<01:51,  5.73it/s]

→ 1500 (1349 images):  53%|█████▎    | 716/1349 [01:30<01:09,  9.14it/s]

→ 1500 (1349 images):  53%|█████▎    | 719/1349 [01:30<00:54, 11.51it/s]

→ 1500 (1349 images):  54%|█████▎    | 722/1349 [01:30<00:43, 14.25it/s]

→ 1500 (1349 images):  54%|█████▎    | 725/1349 [01:30<00:47, 13.07it/s]

→ 1500 (1349 images):  54%|█████▍    | 727/1349 [01:30<00:45, 13.69it/s]

→ 1500 (1349 images):  54%|█████▍    | 729/1349 [01:31<00:46, 13.36it/s]

→ 1500 (1349 images):  54%|█████▍    | 731/1349 [01:31<00:48, 12.73it/s]

→ 1500 (1349 images):  54%|█████▍    | 734/1349 [01:31<00:49, 12.35it/s]

→ 1500 (1349 images):  55%|█████▍    | 736/1349 [01:31<00:45, 13.53it/s]

→ 1500 (1349 images):  55%|█████▍    | 738/1349 [01:33<02:58,  3.43it/s]

→ 1500 (1349 images):  55%|█████▍    | 741/1349 [01:33<02:16,  4.45it/s]

→ 1500 (1349 images):  55%|█████▌    | 744/1349 [01:33<01:47,  5.61it/s]

→ 1500 (1349 images):  55%|█████▌    | 747/1349 [01:34<01:21,  7.41it/s]

→ 1500 (1349 images):  56%|█████▌    | 750/1349 [01:34<01:02,  9.65it/s]

→ 1500 (1349 images):  56%|█████▌    | 754/1349 [01:34<00:45, 13.16it/s]

→ 1500 (1349 images):  56%|█████▌    | 757/1349 [01:34<00:46, 12.64it/s]

→ 1500 (1349 images):  56%|█████▋    | 759/1349 [01:34<00:46, 12.68it/s]

→ 1500 (1349 images):  56%|█████▋    | 761/1349 [01:34<00:45, 12.79it/s]

→ 1500 (1349 images):  57%|█████▋    | 763/1349 [01:35<00:49, 11.82it/s]

→ 1500 (1349 images):  57%|█████▋    | 766/1349 [01:35<00:49, 11.86it/s]

→ 1500 (1349 images):  57%|█████▋    | 768/1349 [01:35<00:47, 12.25it/s]

→ 1500 (1349 images):  57%|█████▋    | 770/1349 [01:37<02:40,  3.61it/s]

→ 1500 (1349 images):  57%|█████▋    | 772/1349 [01:37<02:15,  4.25it/s]

→ 1500 (1349 images):  57%|█████▋    | 773/1349 [01:37<02:07,  4.51it/s]

→ 1500 (1349 images):  57%|█████▋    | 775/1349 [01:37<01:37,  5.90it/s]

→ 1500 (1349 images):  58%|█████▊    | 777/1349 [01:37<01:27,  6.56it/s]

→ 1500 (1349 images):  58%|█████▊    | 779/1349 [01:38<01:10,  8.11it/s]

→ 1500 (1349 images):  58%|█████▊    | 782/1349 [01:38<00:51, 10.96it/s]

→ 1500 (1349 images):  58%|█████▊    | 785/1349 [01:38<00:40, 13.84it/s]

→ 1500 (1349 images):  58%|█████▊    | 788/1349 [01:38<00:33, 16.72it/s]

→ 1500 (1349 images):  59%|█████▊    | 791/1349 [01:38<00:42, 13.27it/s]

→ 1500 (1349 images):  59%|█████▉    | 793/1349 [01:38<00:38, 14.40it/s]

→ 1500 (1349 images):  59%|█████▉    | 795/1349 [01:39<00:44, 12.44it/s]

→ 1500 (1349 images):  59%|█████▉    | 798/1349 [01:39<00:45, 12.13it/s]

→ 1500 (1349 images):  59%|█████▉    | 800/1349 [01:39<00:45, 12.16it/s]

→ 1500 (1349 images):  59%|█████▉    | 802/1349 [01:41<02:34,  3.55it/s]

→ 1500 (1349 images):  60%|█████▉    | 804/1349 [01:41<02:05,  4.33it/s]

→ 1500 (1349 images):  60%|█████▉    | 806/1349 [01:41<01:49,  4.98it/s]

→ 1500 (1349 images):  60%|█████▉    | 809/1349 [01:41<01:24,  6.40it/s]

→ 1500 (1349 images):  60%|██████    | 811/1349 [01:41<01:10,  7.68it/s]

→ 1500 (1349 images):  60%|██████    | 814/1349 [01:42<00:54,  9.80it/s]

→ 1500 (1349 images):  61%|██████    | 817/1349 [01:42<00:42, 12.38it/s]

→ 1500 (1349 images):  61%|██████    | 820/1349 [01:42<00:35, 14.99it/s]

→ 1500 (1349 images):  61%|██████    | 823/1349 [01:42<00:36, 14.54it/s]

→ 1500 (1349 images):  61%|██████    | 825/1349 [01:42<00:36, 14.39it/s]

→ 1500 (1349 images):  61%|██████▏   | 827/1349 [01:42<00:41, 12.44it/s]

→ 1500 (1349 images):  61%|██████▏   | 829/1349 [01:43<00:43, 11.86it/s]

→ 1500 (1349 images):  62%|██████▏   | 831/1349 [01:43<00:43, 11.93it/s]

→ 1500 (1349 images):  62%|██████▏   | 833/1349 [01:44<02:34,  3.33it/s]

→ 1500 (1349 images):  62%|██████▏   | 835/1349 [01:45<02:00,  4.26it/s]

→ 1500 (1349 images):  62%|██████▏   | 837/1349 [01:45<01:39,  5.17it/s]

→ 1500 (1349 images):  62%|██████▏   | 839/1349 [01:45<01:22,  6.15it/s]

→ 1500 (1349 images):  62%|██████▏   | 841/1349 [01:45<01:18,  6.50it/s]

→ 1500 (1349 images):  62%|██████▏   | 843/1349 [01:45<01:04,  7.91it/s]

→ 1500 (1349 images):  63%|██████▎   | 847/1349 [01:45<00:41, 12.09it/s]

→ 1500 (1349 images):  63%|██████▎   | 850/1349 [01:46<00:35, 13.93it/s]

→ 1500 (1349 images):  63%|██████▎   | 853/1349 [01:46<00:29, 16.76it/s]

→ 1500 (1349 images):  63%|██████▎   | 856/1349 [01:46<00:34, 14.47it/s]

→ 1500 (1349 images):  64%|██████▎   | 858/1349 [01:46<00:43, 11.18it/s]

→ 1500 (1349 images):  64%|██████▍   | 860/1349 [01:47<00:44, 11.00it/s]

→ 1500 (1349 images):  64%|██████▍   | 862/1349 [01:47<00:39, 12.18it/s]

→ 1500 (1349 images):  64%|██████▍   | 864/1349 [01:47<00:39, 12.43it/s]

→ 1500 (1349 images):  64%|██████▍   | 866/1349 [01:49<02:24,  3.35it/s]

→ 1500 (1349 images):  64%|██████▍   | 868/1349 [01:49<01:53,  4.25it/s]

→ 1500 (1349 images):  64%|██████▍   | 870/1349 [01:49<01:27,  5.47it/s]

→ 1500 (1349 images):  65%|██████▍   | 872/1349 [01:49<01:14,  6.40it/s]

→ 1500 (1349 images):  65%|██████▍   | 874/1349 [01:49<01:10,  6.74it/s]

→ 1500 (1349 images):  65%|██████▍   | 876/1349 [01:49<00:59,  8.01it/s]

→ 1500 (1349 images):  65%|██████▌   | 880/1349 [01:49<00:37, 12.61it/s]

→ 1500 (1349 images):  65%|██████▌   | 883/1349 [01:50<00:29, 15.56it/s]

→ 1500 (1349 images):  66%|██████▌   | 886/1349 [01:50<00:28, 16.29it/s]

→ 1500 (1349 images):  66%|██████▌   | 889/1349 [01:50<00:32, 13.95it/s]

→ 1500 (1349 images):  66%|██████▌   | 891/1349 [01:50<00:47,  9.66it/s]

→ 1500 (1349 images):  66%|██████▋   | 894/1349 [01:51<00:37, 12.00it/s]

→ 1500 (1349 images):  66%|██████▋   | 896/1349 [01:51<00:40, 11.08it/s]

→ 1500 (1349 images):  67%|██████▋   | 898/1349 [01:52<02:08,  3.51it/s]

→ 1500 (1349 images):  67%|██████▋   | 900/1349 [01:53<01:42,  4.38it/s]

→ 1500 (1349 images):  67%|██████▋   | 903/1349 [01:53<01:18,  5.66it/s]

→ 1500 (1349 images):  67%|██████▋   | 905/1349 [01:53<01:08,  6.46it/s]

→ 1500 (1349 images):  67%|██████▋   | 908/1349 [01:53<00:51,  8.64it/s]

→ 1500 (1349 images):  68%|██████▊   | 912/1349 [01:53<00:37, 11.76it/s]

→ 1500 (1349 images):  68%|██████▊   | 916/1349 [01:53<00:28, 15.24it/s]

→ 1500 (1349 images):  68%|██████▊   | 919/1349 [01:54<00:29, 14.59it/s]

→ 1500 (1349 images):  68%|██████▊   | 921/1349 [01:54<00:29, 14.35it/s]

→ 1500 (1349 images):  68%|██████▊   | 923/1349 [01:54<00:44,  9.52it/s]

→ 1500 (1349 images):  69%|██████▊   | 925/1349 [01:55<00:43,  9.77it/s]

→ 1500 (1349 images):  69%|██████▊   | 927/1349 [01:55<00:38, 11.05it/s]

→ 1500 (1349 images):  69%|██████▉   | 929/1349 [01:56<02:07,  3.30it/s]

→ 1500 (1349 images):  69%|██████▉   | 931/1349 [01:56<01:37,  4.29it/s]

→ 1500 (1349 images):  69%|██████▉   | 934/1349 [01:57<01:06,  6.21it/s]

→ 1500 (1349 images):  69%|██████▉   | 936/1349 [01:57<01:05,  6.33it/s]

→ 1500 (1349 images):  70%|██████▉   | 938/1349 [01:57<00:57,  7.18it/s]

→ 1500 (1349 images):  70%|██████▉   | 941/1349 [01:57<00:42,  9.58it/s]

→ 1500 (1349 images):  70%|██████▉   | 944/1349 [01:57<00:32, 12.37it/s]

→ 1500 (1349 images):  70%|███████   | 948/1349 [01:57<00:24, 16.45it/s]

→ 1500 (1349 images):  70%|███████   | 951/1349 [01:58<00:25, 15.52it/s]

→ 1500 (1349 images):  71%|███████   | 954/1349 [01:58<00:36, 10.87it/s]

→ 1500 (1349 images):  71%|███████   | 956/1349 [01:58<00:39,  9.91it/s]

→ 1500 (1349 images):  71%|███████   | 958/1349 [01:58<00:34, 11.18it/s]

→ 1500 (1349 images):  71%|███████   | 960/1349 [01:59<00:35, 11.05it/s]

→ 1500 (1349 images):  71%|███████▏  | 962/1349 [02:00<01:55,  3.36it/s]

→ 1500 (1349 images):  72%|███████▏  | 965/1349 [02:01<01:18,  4.92it/s]

→ 1500 (1349 images):  72%|███████▏  | 967/1349 [02:01<01:07,  5.64it/s]

→ 1500 (1349 images):  72%|███████▏  | 969/1349 [02:01<00:56,  6.73it/s]

→ 1500 (1349 images):  72%|███████▏  | 971/1349 [02:01<00:50,  7.43it/s]

→ 1500 (1349 images):  72%|███████▏  | 973/1349 [02:01<00:41,  9.03it/s]

→ 1500 (1349 images):  72%|███████▏  | 976/1349 [02:01<00:30, 12.16it/s]

→ 1500 (1349 images):  73%|███████▎  | 980/1349 [02:01<00:22, 16.40it/s]

→ 1500 (1349 images):  73%|███████▎  | 983/1349 [02:02<00:23, 15.75it/s]

→ 1500 (1349 images):  73%|███████▎  | 986/1349 [02:02<00:30, 11.97it/s]

→ 1500 (1349 images):  73%|███████▎  | 988/1349 [02:02<00:38,  9.46it/s]

→ 1500 (1349 images):  73%|███████▎  | 991/1349 [02:03<00:31, 11.45it/s]

→ 1500 (1349 images):  74%|███████▎  | 993/1349 [02:04<01:36,  3.67it/s]

→ 1500 (1349 images):  74%|███████▍  | 995/1349 [02:04<01:17,  4.57it/s]

→ 1500 (1349 images):  74%|███████▍  | 997/1349 [02:05<01:03,  5.53it/s]

→ 1500 (1349 images):  74%|███████▍  | 999/1349 [02:05<00:52,  6.67it/s]

→ 1500 (1349 images):  74%|███████▍  | 1001/1349 [02:05<00:44,  7.76it/s]

→ 1500 (1349 images):  74%|███████▍  | 1003/1349 [02:05<00:39,  8.76it/s]

→ 1500 (1349 images):  74%|███████▍  | 1005/1349 [02:05<00:33, 10.15it/s]

→ 1500 (1349 images):  75%|███████▍  | 1008/1349 [02:05<00:27, 12.43it/s]

→ 1500 (1349 images):  75%|███████▍  | 1011/1349 [02:05<00:22, 14.90it/s]

→ 1500 (1349 images):  75%|███████▌  | 1014/1349 [02:05<00:19, 16.92it/s]

→ 1500 (1349 images):  75%|███████▌  | 1017/1349 [02:06<00:17, 18.85it/s]

→ 1500 (1349 images):  76%|███████▌  | 1020/1349 [02:06<00:37,  8.85it/s]

→ 1500 (1349 images):  76%|███████▌  | 1023/1349 [02:06<00:29, 11.15it/s]

→ 1500 (1349 images):  76%|███████▌  | 1025/1349 [02:08<01:25,  3.78it/s]

→ 1500 (1349 images):  76%|███████▌  | 1027/1349 [02:08<01:08,  4.68it/s]

→ 1500 (1349 images):  76%|███████▋  | 1029/1349 [02:08<00:57,  5.54it/s]

→ 1500 (1349 images):  76%|███████▋  | 1031/1349 [02:09<00:47,  6.75it/s]

→ 1500 (1349 images):  77%|███████▋  | 1033/1349 [02:09<00:40,  7.79it/s]

→ 1500 (1349 images):  77%|███████▋  | 1035/1349 [02:09<00:37,  8.29it/s]

→ 1500 (1349 images):  77%|███████▋  | 1038/1349 [02:09<00:28, 10.80it/s]

→ 1500 (1349 images):  77%|███████▋  | 1042/1349 [02:09<00:23, 12.89it/s]

→ 1500 (1349 images):  77%|███████▋  | 1044/1349 [02:09<00:22, 13.34it/s]

→ 1500 (1349 images):  78%|███████▊  | 1047/1349 [02:10<00:19, 15.69it/s]

→ 1500 (1349 images):  78%|███████▊  | 1050/1349 [02:10<00:22, 13.14it/s]

→ 1500 (1349 images):  78%|███████▊  | 1052/1349 [02:10<00:31,  9.54it/s]

→ 1500 (1349 images):  78%|███████▊  | 1054/1349 [02:10<00:27, 10.76it/s]

→ 1500 (1349 images):  78%|███████▊  | 1056/1349 [02:11<00:25, 11.64it/s]

→ 1500 (1349 images):  78%|███████▊  | 1058/1349 [02:12<01:26,  3.35it/s]

→ 1500 (1349 images):  79%|███████▊  | 1061/1349 [02:12<00:58,  4.88it/s]

→ 1500 (1349 images):  79%|███████▉  | 1063/1349 [02:12<00:48,  5.93it/s]

→ 1500 (1349 images):  79%|███████▉  | 1065/1349 [02:13<00:42,  6.67it/s]

→ 1500 (1349 images):  79%|███████▉  | 1067/1349 [02:13<00:35,  7.85it/s]

→ 1500 (1349 images):  79%|███████▉  | 1070/1349 [02:13<00:27, 10.13it/s]

→ 1500 (1349 images):  80%|███████▉  | 1073/1349 [02:13<00:22, 12.45it/s]

→ 1500 (1349 images):  80%|███████▉  | 1075/1349 [02:13<00:23, 11.43it/s]

→ 1500 (1349 images):  80%|███████▉  | 1078/1349 [02:13<00:19, 13.61it/s]

→ 1500 (1349 images):  80%|████████  | 1081/1349 [02:14<00:16, 15.93it/s]

→ 1500 (1349 images):  80%|████████  | 1083/1349 [02:14<00:29,  8.99it/s]

→ 1500 (1349 images):  81%|████████  | 1086/1349 [02:14<00:26, 10.09it/s]

→ 1500 (1349 images):  81%|████████  | 1089/1349 [02:16<01:04,  4.05it/s]

→ 1500 (1349 images):  81%|████████  | 1091/1349 [02:16<00:52,  4.88it/s]

→ 1500 (1349 images):  81%|████████  | 1094/1349 [02:16<00:38,  6.58it/s]

→ 1500 (1349 images):  81%|████████  | 1096/1349 [02:16<00:34,  7.36it/s]

→ 1500 (1349 images):  81%|████████▏ | 1098/1349 [02:17<00:32,  7.76it/s]

→ 1500 (1349 images):  82%|████████▏ | 1101/1349 [02:17<00:24, 10.22it/s]

→ 1500 (1349 images):  82%|████████▏ | 1103/1349 [02:17<00:21, 11.54it/s]

→ 1500 (1349 images):  82%|████████▏ | 1105/1349 [02:17<00:18, 12.99it/s]

→ 1500 (1349 images):  82%|████████▏ | 1107/1349 [02:17<00:21, 11.21it/s]

→ 1500 (1349 images):  82%|████████▏ | 1109/1349 [02:17<00:20, 11.66it/s]

→ 1500 (1349 images):  83%|████████▎ | 1113/1349 [02:18<00:14, 15.75it/s]

→ 1500 (1349 images):  83%|████████▎ | 1115/1349 [02:18<00:24,  9.39it/s]

→ 1500 (1349 images):  83%|████████▎ | 1117/1349 [02:18<00:22, 10.17it/s]

→ 1500 (1349 images):  83%|████████▎ | 1119/1349 [02:18<00:22, 10.11it/s]

→ 1500 (1349 images):  83%|████████▎ | 1121/1349 [02:20<01:03,  3.59it/s]

→ 1500 (1349 images):  83%|████████▎ | 1122/1349 [02:20<00:59,  3.84it/s]

→ 1500 (1349 images):  83%|████████▎ | 1125/1349 [02:20<00:37,  5.94it/s]

→ 1500 (1349 images):  84%|████████▎ | 1127/1349 [02:20<00:32,  6.88it/s]

→ 1500 (1349 images):  84%|████████▎ | 1129/1349 [02:21<00:31,  7.07it/s]

→ 1500 (1349 images):  84%|████████▍ | 1133/1349 [02:21<00:19, 10.81it/s]

→ 1500 (1349 images):  84%|████████▍ | 1135/1349 [02:21<00:19, 11.26it/s]

→ 1500 (1349 images):  84%|████████▍ | 1138/1349 [02:21<00:16, 12.63it/s]

→ 1500 (1349 images):  85%|████████▍ | 1140/1349 [02:21<00:18, 11.33it/s]

→ 1500 (1349 images):  85%|████████▍ | 1143/1349 [02:21<00:15, 13.51it/s]

→ 1500 (1349 images):  85%|████████▍ | 1146/1349 [02:22<00:14, 13.69it/s]

→ 1500 (1349 images):  85%|████████▌ | 1148/1349 [02:22<00:22,  9.01it/s]

→ 1500 (1349 images):  85%|████████▌ | 1150/1349 [02:22<00:20,  9.68it/s]

→ 1500 (1349 images):  85%|████████▌ | 1153/1349 [02:24<00:49,  3.99it/s]

→ 1500 (1349 images):  86%|████████▌ | 1154/1349 [02:24<00:45,  4.32it/s]

→ 1500 (1349 images):  86%|████████▌ | 1157/1349 [02:24<00:30,  6.32it/s]

→ 1500 (1349 images):  86%|████████▌ | 1159/1349 [02:24<00:27,  6.85it/s]

→ 1500 (1349 images):  86%|████████▌ | 1161/1349 [02:25<00:25,  7.43it/s]

→ 1500 (1349 images):  86%|████████▋ | 1165/1349 [02:25<00:16, 11.26it/s]

→ 1500 (1349 images):  87%|████████▋ | 1167/1349 [02:25<00:16, 11.26it/s]

→ 1500 (1349 images):  87%|████████▋ | 1169/1349 [02:25<00:14, 12.27it/s]

→ 1500 (1349 images):  87%|████████▋ | 1171/1349 [02:25<00:13, 12.91it/s]

→ 1500 (1349 images):  87%|████████▋ | 1173/1349 [02:25<00:14, 12.08it/s]

→ 1500 (1349 images):  87%|████████▋ | 1176/1349 [02:25<00:13, 13.26it/s]

→ 1500 (1349 images):  87%|████████▋ | 1178/1349 [02:26<00:13, 12.98it/s]

→ 1500 (1349 images):  87%|████████▋ | 1180/1349 [02:26<00:19,  8.47it/s]

→ 1500 (1349 images):  88%|████████▊ | 1182/1349 [02:26<00:18,  9.09it/s]

→ 1500 (1349 images):  88%|████████▊ | 1184/1349 [02:26<00:15, 10.49it/s]

→ 1500 (1349 images):  88%|████████▊ | 1186/1349 [02:28<00:46,  3.53it/s]

→ 1500 (1349 images):  88%|████████▊ | 1189/1349 [02:28<00:30,  5.29it/s]

→ 1500 (1349 images):  88%|████████▊ | 1191/1349 [02:28<00:26,  5.87it/s]

→ 1500 (1349 images):  88%|████████▊ | 1193/1349 [02:28<00:23,  6.57it/s]

→ 1500 (1349 images):  89%|████████▊ | 1196/1349 [02:29<00:16,  9.03it/s]

→ 1500 (1349 images):  89%|████████▉ | 1199/1349 [02:29<00:13, 11.10it/s]

→ 1500 (1349 images):  89%|████████▉ | 1201/1349 [02:29<00:12, 11.55it/s]

→ 1500 (1349 images):  89%|████████▉ | 1204/1349 [02:29<00:11, 12.14it/s]

→ 1500 (1349 images):  89%|████████▉ | 1207/1349 [02:29<00:10, 13.22it/s]

→ 1500 (1349 images):  90%|████████▉ | 1209/1349 [02:29<00:10, 13.61it/s]

→ 1500 (1349 images):  90%|████████▉ | 1211/1349 [02:30<00:14,  9.64it/s]

→ 1500 (1349 images):  90%|████████▉ | 1213/1349 [02:30<00:14,  9.22it/s]

→ 1500 (1349 images):  90%|█████████ | 1215/1349 [02:30<00:13, 10.20it/s]

→ 1500 (1349 images):  90%|█████████ | 1217/1349 [02:32<00:36,  3.59it/s]

→ 1500 (1349 images):  90%|█████████ | 1219/1349 [02:32<00:28,  4.63it/s]

→ 1500 (1349 images):  91%|█████████ | 1221/1349 [02:32<00:21,  5.95it/s]

→ 1500 (1349 images):  91%|█████████ | 1223/1349 [02:32<00:20,  6.21it/s]

→ 1500 (1349 images):  91%|█████████ | 1225/1349 [02:32<00:16,  7.35it/s]

→ 1500 (1349 images):  91%|█████████ | 1229/1349 [02:32<00:10, 11.03it/s]

→ 1500 (1349 images):  91%|█████████▏| 1232/1349 [02:33<00:08, 13.57it/s]

→ 1500 (1349 images):  91%|█████████▏| 1234/1349 [02:33<00:09, 12.64it/s]

→ 1500 (1349 images):  92%|█████████▏| 1236/1349 [02:33<00:08, 12.77it/s]

→ 1500 (1349 images):  92%|█████████▏| 1238/1349 [02:33<00:08, 12.92it/s]

→ 1500 (1349 images):  92%|█████████▏| 1240/1349 [02:33<00:08, 13.39it/s]

→ 1500 (1349 images):  92%|█████████▏| 1242/1349 [02:33<00:07, 14.65it/s]

→ 1500 (1349 images):  92%|█████████▏| 1244/1349 [02:34<00:11,  9.02it/s]

→ 1500 (1349 images):  92%|█████████▏| 1246/1349 [02:34<00:11,  8.94it/s]

→ 1500 (1349 images):  93%|█████████▎| 1248/1349 [02:34<00:10,  9.24it/s]

→ 1500 (1349 images):  93%|█████████▎| 1250/1349 [02:36<00:28,  3.43it/s]

→ 1500 (1349 images):  93%|█████████▎| 1253/1349 [02:36<00:18,  5.11it/s]

→ 1500 (1349 images):  93%|█████████▎| 1255/1349 [02:36<00:16,  5.58it/s]

→ 1500 (1349 images):  93%|█████████▎| 1257/1349 [02:36<00:13,  6.67it/s]

→ 1500 (1349 images):  93%|█████████▎| 1261/1349 [02:36<00:08, 10.31it/s]

→ 1500 (1349 images):  94%|█████████▎| 1263/1349 [02:36<00:07, 11.43it/s]

→ 1500 (1349 images):  94%|█████████▍| 1265/1349 [02:37<00:07, 11.73it/s]

→ 1500 (1349 images):  94%|█████████▍| 1267/1349 [02:37<00:06, 12.21it/s]

→ 1500 (1349 images):  94%|█████████▍| 1269/1349 [02:37<00:06, 12.72it/s]

→ 1500 (1349 images):  94%|█████████▍| 1271/1349 [02:37<00:06, 12.48it/s]

→ 1500 (1349 images):  94%|█████████▍| 1273/1349 [02:37<00:05, 13.88it/s]

→ 1500 (1349 images):  95%|█████████▍| 1275/1349 [02:37<00:07,  9.39it/s]

→ 1500 (1349 images):  95%|█████████▍| 1277/1349 [02:38<00:08,  8.81it/s]

→ 1500 (1349 images):  95%|█████████▍| 1279/1349 [02:38<00:06, 10.39it/s]

→ 1500 (1349 images):  95%|█████████▍| 1281/1349 [02:39<00:20,  3.40it/s]

→ 1500 (1349 images):  95%|█████████▌| 1283/1349 [02:40<00:15,  4.37it/s]

→ 1500 (1349 images):  95%|█████████▌| 1286/1349 [02:40<00:09,  6.42it/s]

→ 1500 (1349 images):  95%|█████████▌| 1288/1349 [02:40<00:09,  6.44it/s]

→ 1500 (1349 images):  96%|█████████▌| 1291/1349 [02:40<00:06,  8.88it/s]

→ 1500 (1349 images):  96%|█████████▌| 1295/1349 [02:40<00:04, 11.75it/s]

→ 1500 (1349 images):  96%|█████████▌| 1297/1349 [02:40<00:04, 12.88it/s]

→ 1500 (1349 images):  96%|█████████▋| 1299/1349 [02:41<00:04, 11.57it/s]

→ 1500 (1349 images):  97%|█████████▋| 1302/1349 [02:41<00:03, 12.61it/s]

→ 1500 (1349 images):  97%|█████████▋| 1304/1349 [02:41<00:03, 13.66it/s]

→ 1500 (1349 images):  97%|█████████▋| 1307/1349 [02:41<00:04, 10.12it/s]

→ 1500 (1349 images):  97%|█████████▋| 1309/1349 [02:42<00:04,  9.12it/s]

→ 1500 (1349 images):  97%|█████████▋| 1312/1349 [02:42<00:03,  9.49it/s]

→ 1500 (1349 images):  97%|█████████▋| 1314/1349 [02:43<00:08,  4.02it/s]

→ 1500 (1349 images):  98%|█████████▊| 1316/1349 [02:43<00:06,  4.99it/s]

→ 1500 (1349 images):  98%|█████████▊| 1319/1349 [02:44<00:04,  6.10it/s]

→ 1500 (1349 images):  98%|█████████▊| 1321/1349 [02:44<00:03,  7.31it/s]

→ 1500 (1349 images):  98%|█████████▊| 1325/1349 [02:44<00:02, 10.79it/s]

→ 1500 (1349 images):  98%|█████████▊| 1327/1349 [02:44<00:01, 11.37it/s]

→ 1500 (1349 images):  99%|█████████▊| 1330/1349 [02:44<00:01, 14.28it/s]

→ 1500 (1349 images):  99%|█████████▉| 1335/1349 [02:44<00:00, 17.24it/s]

→ 1500 (1349 images):  99%|█████████▉| 1338/1349 [02:45<00:00, 18.09it/s]

→ 1500 (1349 images):  99%|█████████▉| 1341/1349 [02:45<00:00, 14.33it/s]

→ 1500 (1349 images): 100%|█████████▉| 1344/1349 [02:45<00:00, 14.88it/s]

→ 1500 (1349 images): 100%|█████████▉| 1346/1349 [02:46<00:00,  8.41it/s]

→ 1500 (1349 images): 100%|█████████▉| 1348/1349 [02:46<00:00,  8.79it/s]

                                                                         
📁 Processing Rigs: 100%|██████████| 3/3 [05:15<00:00, 117.26s/it]
📁 Processing Rigs: 100%|██████████| 3/3 [05:15<00:00, 105.00s/it]
[💾] Saved RigFrameDataset to /working/MDC027_W031_2025-03-24/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 2508 frames from 3 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 500
[📋] 1000: 100 frames selected from 659
[📋] 1500: 100 frames selected from 1349
[💾] 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                        
-------------------------------------------------------------------

[INFO] Using 60 total sampled bright frames

Averaging bright frames:   0%|          | 0/60 [00:00<?, ?it/s]
Averaging bright frames:   7%|▋         | 4/60 [00:00<00:01, 34.75it/s]
Averaging bright frames:  13%|█▎        | 8/60 [00:00<00:01, 34.34it/s]
Averaging bright frames:  20%|██        | 12/60 [00:00<00:01, 36.25it/s]
Averaging bright frames:  27%|██▋       | 16/60 [00:00<00:01, 36.87it/s]
Averaging bright frames:  33%|███▎      | 20/60 [00:00<00:01, 37.67it/s]
Averaging bright frames:  40%|████      | 24/60 [00:00<00:00, 38.10it/s]
Averaging bright frames:  47%|████▋     | 28/60 [00:00<00:00, 37.53it/s]
Averaging bright frames:  53%|█████▎    | 32/60 [00:00<00:00, 37.70it/s]
Averaging bright frames:  60%|██████    | 36/60 [00:00<00:00, 38.00it/s]
Averaging bright frames:  67%|██████▋   | 40/60 [00:01<00:00, 38.28it/s]
Averaging bright frames:  73%|███████▎  | 44/60 [00:01<00:00, 38.50it/s]
Averaging bright frames:  80%|████████  | 48/60 [00:01<00:00, 38.18it/s]
Averaging bright frames:  87%|████████▋ | 52/60 [00:01<00:00, 38.02it/s]
Averaging bright frames:  93%|█████████▎| 56/60 [00:01<00:00, 38.31it/s]
Averaging bright frames: 100%|██████████| 60/60 [00:01<00:00, 38.09it/s]
                                                                        
Total time to process (v2): 0.06
[RESULT] Combined: Center=(1020, 746), Radius=838

  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:38,  2.60it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:38,  2.60it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   2%|▏         | 2/100 [00:00<00:37,  2.60it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   3%|▎         | 3/100 [00:00<00:13,  7.19it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   3%|▎         | 3/100 [00:00<00:13,  7.19it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   4%|▍         | 4/100 [00:00<00:13,  7.19it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   5%|▌         | 5/100 [00:00<00:13,  7.19it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   6%|▌         | 6/100 [00:00<00:13,  7.19it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   7%|▋         | 7/100 [00:00<00:12,  7.19it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   8%|▊         | 8/100 [00:00<00:12,  7.19it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   9%|▉         | 9/100 [00:00<00:12,  7.19it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  10%|█         | 10/100 [00:00<00:12,  7.19it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  11%|█         | 11/100 [00:00<00:03, 24.46it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  11%|█         | 11/100 [00:00<00:03, 24.46it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  12%|█▏        | 12/100 [00:00<00:03, 24.46it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  13%|█▎        | 13/100 [00:00<00:03, 24.46it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  14%|█▍        | 14/100 [00:00<00:03, 24.46it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  15%|█▌        | 15/100 [00:00<00:03, 24.46it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  16%|█▌        | 16/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  16%|█▌        | 16/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  17%|█▋        | 17/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  18%|█▊        | 18/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  19%|█▉        | 19/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 300.0} (0.000):  20%|██        | 20/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.033 | Best: {'fx': 526.263} (0.033):  21%|██        | 21/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.018 | Best: {'fx': 526.263} (0.033):  22%|██▏       | 22/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.034 | Best: {'fx': 533.333} (0.034):  23%|██▎       | 23/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 533.333} (0.034):  24%|██▍       | 24/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.022 | Best: {'fx': 533.333} (0.034):  25%|██▌       | 25/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.019 | Best: {'fx': 533.333} (0.034):  26%|██▌       | 26/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.016 | Best: {'fx': 533.333} (0.034):  27%|██▋       | 27/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.020 | Best: {'fx': 533.333} (0.034):  28%|██▊       | 28/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.015 | Best: {'fx': 533.333} (0.034):  29%|██▉       | 29/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.012 | Best: {'fx': 533.333} (0.034):  30%|███       | 30/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 533.333} (0.034):  31%|███       | 31/100 [00:00<00:02, 30.42it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 533.333} (0.034):  32%|███▏      | 32/100 [00:00<00:01, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.014 | Best: {'fx': 533.333} (0.034):  32%|███▏      | 32/100 [00:00<00:01, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 533.333} (0.034):  33%|███▎      | 33/100 [00:00<00:01, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 533.333} (0.034):  34%|███▍      | 34/100 [00:00<00:01, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.013 | Best: {'fx': 533.333} (0.034):  35%|███▌      | 35/100 [00:00<00:01, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.011 | Best: {'fx': 533.333} (0.034):  36%|███▌      | 36/100 [00:00<00:01, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.010 | Best: {'fx': 533.333} (0.034):  37%|███▋      | 37/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.002 | Best: {'fx': 533.333} (0.034):  38%|███▊      | 38/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 533.333} (0.034):  39%|███▉      | 39/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.011 | Best: {'fx': 533.333} (0.034):  40%|████      | 40/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  41%|████      | 41/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.000 | Best: {'fx': 533.333} (0.034):  42%|████▏     | 42/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.011 | Best: {'fx': 533.333} (0.034):  43%|████▎     | 43/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.010 | Best: {'fx': 533.333} (0.034):  44%|████▍     | 44/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.001 | Best: {'fx': 533.333} (0.034):  45%|████▌     | 45/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  46%|████▌     | 46/100 [00:00<00:00, 63.62it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  47%|████▋     | 47/100 [00:00<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.010 | Best: {'fx': 533.333} (0.034):  47%|████▋     | 47/100 [00:00<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  48%|████▊     | 48/100 [00:00<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.006 | Best: {'fx': 533.333} (0.034):  49%|████▉     | 49/100 [00:00<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  50%|█████     | 50/100 [00:00<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  51%|█████     | 51/100 [00:00<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  52%|█████▏    | 52/100 [00:00<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  53%|█████▎    | 53/100 [00:01<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  54%|█████▍    | 54/100 [00:01<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  55%|█████▌    | 55/100 [00:01<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  56%|█████▌    | 56/100 [00:01<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.009 | Best: {'fx': 533.333} (0.034):  57%|█████▋    | 57/100 [00:01<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  58%|█████▊    | 58/100 [00:01<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  59%|█████▉    | 59/100 [00:01<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  60%|██████    | 60/100 [00:01<00:00, 84.39it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  61%|██████    | 61/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  61%|██████    | 61/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  62%|██████▏   | 62/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  63%|██████▎   | 63/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  64%|██████▍   | 64/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  65%|██████▌   | 65/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  66%|██████▌   | 66/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  67%|██████▋   | 67/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  68%|██████▊   | 68/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  69%|██████▉   | 69/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  70%|███████   | 70/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  71%|███████   | 71/100 [00:01<00:00, 93.44it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  72%|███████▏  | 72/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  72%|███████▏  | 72/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  73%|███████▎  | 73/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  74%|███████▍  | 74/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  75%|███████▌  | 75/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  76%|███████▌  | 76/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  77%|███████▋  | 77/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  78%|███████▊  | 78/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  79%|███████▉  | 79/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  80%|████████  | 80/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  81%|████████  | 81/100 [00:01<00:00, 89.79it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  82%|████████▏ | 82/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  82%|████████▏ | 82/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  83%|████████▎ | 83/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  84%|████████▍ | 84/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  85%|████████▌ | 85/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  86%|████████▌ | 86/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  87%|████████▋ | 87/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  88%|████████▊ | 88/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  89%|████████▉ | 89/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  90%|█████████ | 90/100 [00:01<00:00, 84.68it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  91%|█████████ | 91/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  91%|█████████ | 91/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  92%|█████████▏| 92/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  93%|█████████▎| 93/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  94%|█████████▍| 94/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  95%|█████████▌| 95/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  96%|█████████▌| 96/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  97%|█████████▋| 97/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  98%|█████████▊| 98/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034):  99%|█████████▉| 99/100 [00:01<00:00, 78.09it/s]
Brute | Start: {'fx': 500.0} (0.004) | Current: 0.008 | Best: {'fx': 533.333} (0.034): 100%|██████████| 100/100 [00:01<00:00, 74.11it/s]
                                                                                                                                        

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.007 | Best: {'fx': 508.333} (0.007):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.007 | Best: {'fx': 508.333} (0.007):   2%|▏         | 1/50 [00:00<00:06,  7.14it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.007 | Best: {'fx': 509.354} (0.007):   2%|▏         | 1/50 [00:00<00:06,  7.14it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.008 | Best: {'fx': 511.395} (0.008):   4%|▍         | 2/50 [00:00<00:06,  7.14it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.008 | Best: {'fx': 511.395} (0.008):   6%|▌         | 3/50 [00:00<00:06,  7.14it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.009 | Best: {'fx': 512.415} (0.009):   8%|▊         | 4/50 [00:00<00:06,  7.14it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.009 | Best: {'fx': 513.435} (0.009):  10%|█         | 5/50 [00:00<00:06,  7.14it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.014 | Best: {'fx': 515.476} (0.014):  12%|█▏        | 6/50 [00:00<00:06,  7.14it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.014 | Best: {'fx': 515.476} (0.014):  14%|█▍        | 7/50 [00:00<00:01, 27.15it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.010 | Best: {'fx': 515.476} (0.014):  14%|█▍        | 7/50 [00:00<00:01, 27.15it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.015 | Best: {'fx': 516.497} (0.015):  16%|█▌        | 8/50 [00:00<00:01, 27.15it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.020 | Best: {'fx': 521.599} (0.020):  18%|█▊        | 9/50 [00:00<00:01, 27.15it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.016 | Best: {'fx': 521.599} (0.020):  20%|██        | 10/50 [00:00<00:01, 27.15it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.020 | Best: {'fx': 521.599} (0.020):  22%|██▏       | 11/50 [00:00<00:01, 27.15it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.018 | Best: {'fx': 521.599} (0.020):  24%|██▍       | 12/50 [00:00<00:01, 27.15it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.018 | Best: {'fx': 521.599} (0.020):  26%|██▌       | 13/50 [00:00<00:01, 27.15it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.022 | Best: {'fx': 522.619} (0.022):  28%|██▊       | 14/50 [00:00<00:01, 27.15it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.022 | Best: {'fx': 522.619} (0.022):  30%|███       | 15/50 [00:00<00:00, 45.35it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.023 | Best: {'fx': 523.639} (0.023):  30%|███       | 15/50 [00:00<00:00, 45.35it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.026 | Best: {'fx': 524.66} (0.026):  32%|███▏      | 16/50 [00:00<00:00, 45.35it/s] 
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.038 | Best: {'fx': 528.741} (0.038):  34%|███▍      | 17/50 [00:00<00:00, 45.35it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.030 | Best: {'fx': 528.741} (0.038):  36%|███▌      | 18/50 [00:00<00:00, 45.35it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.036 | Best: {'fx': 528.741} (0.038):  38%|███▊      | 19/50 [00:00<00:00, 45.35it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.033 | Best: {'fx': 528.741} (0.038):  40%|████      | 20/50 [00:00<00:00, 45.35it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.033 | Best: {'fx': 528.741} (0.038):  42%|████▏     | 21/50 [00:00<00:00, 45.35it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.033 | Best: {'fx': 528.741} (0.038):  44%|████▍     | 22/50 [00:00<00:00, 52.95it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.032 | Best: {'fx': 528.741} (0.038):  44%|████▍     | 22/50 [00:00<00:00, 52.95it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.035 | Best: {'fx': 528.741} (0.038):  46%|████▌     | 23/50 [00:00<00:00, 52.95it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.033 | Best: {'fx': 528.741} (0.038):  48%|████▊     | 24/50 [00:00<00:00, 52.95it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.032 | Best: {'fx': 528.741} (0.038):  50%|█████     | 25/50 [00:00<00:00, 52.95it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.029 | Best: {'fx': 528.741} (0.038):  52%|█████▏    | 26/50 [00:00<00:00, 52.95it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.027 | Best: {'fx': 528.741} (0.038):  54%|█████▍    | 27/50 [00:00<00:00, 52.95it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.027 | Best: {'fx': 528.741} (0.038):  56%|█████▌    | 28/50 [00:00<00:00, 54.40it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.031 | Best: {'fx': 528.741} (0.038):  56%|█████▌    | 28/50 [00:00<00:00, 54.40it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.025 | Best: {'fx': 528.741} (0.038):  58%|█████▊    | 29/50 [00:00<00:00, 54.40it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.023 | Best: {'fx': 528.741} (0.038):  60%|██████    | 30/50 [00:00<00:00, 54.40it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.022 | Best: {'fx': 528.741} (0.038):  62%|██████▏   | 31/50 [00:00<00:00, 54.40it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.021 | Best: {'fx': 528.741} (0.038):  64%|██████▍   | 32/50 [00:00<00:00, 54.40it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.021 | Best: {'fx': 528.741} (0.038):  66%|██████▌   | 33/50 [00:00<00:00, 54.40it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.021 | Best: {'fx': 528.741} (0.038):  68%|██████▊   | 34/50 [00:00<00:00, 33.85it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.021 | Best: {'fx': 528.741} (0.038):  68%|██████▊   | 34/50 [00:00<00:00, 33.85it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.023 | Best: {'fx': 528.741} (0.038):  70%|███████   | 35/50 [00:00<00:00, 33.85it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.021 | Best: {'fx': 528.741} (0.038):  72%|███████▏  | 36/50 [00:00<00:00, 33.85it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.020 | Best: {'fx': 528.741} (0.038):  74%|███████▍  | 37/50 [00:00<00:00, 33.85it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.018 | Best: {'fx': 528.741} (0.038):  76%|███████▌  | 38/50 [00:01<00:00, 33.85it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.021 | Best: {'fx': 528.741} (0.038):  78%|███████▊  | 39/50 [00:01<00:00, 33.85it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.019 | Best: {'fx': 528.741} (0.038):  80%|████████  | 40/50 [00:01<00:00, 33.85it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.019 | Best: {'fx': 528.741} (0.038):  82%|████████▏ | 41/50 [00:01<00:00, 41.38it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.017 | Best: {'fx': 528.741} (0.038):  82%|████████▏ | 41/50 [00:01<00:00, 41.38it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.019 | Best: {'fx': 528.741} (0.038):  84%|████████▍ | 42/50 [00:01<00:00, 41.38it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.020 | Best: {'fx': 528.741} (0.038):  86%|████████▌ | 43/50 [00:01<00:00, 41.38it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.018 | Best: {'fx': 528.741} (0.038):  88%|████████▊ | 44/50 [00:01<00:00, 41.38it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.018 | Best: {'fx': 528.741} (0.038):  90%|█████████ | 45/50 [00:01<00:00, 41.38it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.018 | Best: {'fx': 528.741} (0.038):  92%|█████████▏| 46/50 [00:01<00:00, 41.38it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.019 | Best: {'fx': 528.741} (0.038):  94%|█████████▍| 47/50 [00:01<00:00, 41.38it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.018 | Best: {'fx': 528.741} (0.038):  96%|█████████▌| 48/50 [00:01<00:00, 41.38it/s]
Brute | Start: {'fx': 533.333} (0.034) | Current: 0.019 | Best: {'fx': 528.741} (0.038):  98%|█████████▊| 49/50 [00:01<00:00, 41.38it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 528.7414965986395
    px: 1020.0
    py: 746.0
    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 7 frames per rig (excluded 2 incomplete frames): 14 frames will be used for optimization
  Rigs: 1000(1000mm):7/20, 1500(1500mm):7/20
  Total: 14/40 frames used for optimization

Initial score: 420.4033: 0iter [00:00, ?iter/s]
Initial score: 420.4033: 1iter [00:02,  2.01s/iter]
Initial score: 420.4033: 2iter [00:02,  1.41s/iter]
Initial score: 420.4033: 3iter [00:03,  1.18s/iter]
Initial score: 420.4033: 4iter [00:04,  1.09s/iter]
Initial score: 420.4033: 5iter [00:05,  1.01s/iter]
Initial score: 420.4033: 6iter [00:06,  1.03iter/s]
Initial score: 420.4033: 7iter [00:07,  1.03iter/s]
Initial score: 420.4033: 8iter [00:08,  1.04iter/s]
Initial score: 420.4033: 9iter [00:09,  1.07iter/s]
Initial score: 420.4033: 10iter [00:10,  1.10iter/s]
Initial score: 420.4033: 11iter [00:11,  1.09iter/s]
Initial score: 420.4033: 12iter [00:12,  1.13iter/s]
Initial score: 420.4033: 13iter [00:12,  1.13iter/s]
Initial score: 420.4033: 14iter [00:13,  1.13iter/s]
Initial score: 420.4033: 15iter [00:14,  1.12iter/s]
Initial score: 420.4033: 16iter [00:15,  1.10iter/s]
Initial score: 420.4033: 17iter [00:16,  1.09iter/s]
Initial score: 420.4033: 18iter [00:17,  1.10iter/s]
Initial score: 420.4033: 19iter [00:18,  1.10iter/s]
Initial score: 420.4033: 20iter [00:19,  1.10iter/s]
Initial score: 420.4033: 21iter [00:20,  1.08iter/s]
Initial score: 420.4033: 22iter [00:21,  1.10iter/s]
Initial score: 420.4033: 23iter [00:21,  1.11iter/s]
Initial score: 420.4033: 24iter [00:22,  1.10iter/s]
Initial score: 420.4033: 25iter [00:23,  1.11iter/s]
Initial score: 420.4033: 26iter [00:24,  1.10iter/s]
Initial score: 420.4033: 27iter [00:25,  1.11iter/s]
Initial score: 420.4033: 28iter [00:26,  1.09iter/s]
Initial score: 420.4033: 29iter [00:27,  1.09iter/s]
Initial score: 420.4033: 30iter [00:28,  1.11iter/s]
Initial score: 420.4033: 31iter [00:29,  1.09iter/s]
Initial score: 420.4033: 32iter [00:30,  1.08iter/s]
Initial score: 420.4033: 33iter [00:31,  1.07iter/s]
Best score: 219.4991: : 33iter [00:32,  1.07iter/s] 
Best score: 219.4991: : 34iter [00:32,  1.12iter/s]
Best score: 219.4991: : 35iter [00:32,  1.09iter/s]
Best score: 219.4991: : 36iter [00:33,  1.09iter/s]
Best score: 219.4991: : 37iter [00:34,  1.09iter/s]
Best score: 219.4991: : 38iter [00:35,  1.11iter/s]
Best score: 219.4991: : 39iter [00:36,  1.11iter/s]
Best score: 219.4991: : 40iter [00:37,  1.12iter/s]
Best score: 219.4991: : 41iter [00:38,  1.10iter/s]
Best score: 219.4991: : 42iter [00:39,  1.12iter/s]
Best score: 219.4991: : 43iter [00:40,  1.10iter/s]
Best score: 219.4991: : 44iter [00:41,  1.10iter/s]
Best score: 219.4991: : 45iter [00:42,  1.10iter/s]
Best score: 219.4991: : 46iter [00:42,  1.13iter/s]
Best score: 219.4991: : 47iter [00:43,  1.12iter/s]
Best score: 219.4991: : 48iter [00:44,  1.10iter/s]
Best score: 219.4991: : 49iter [00:45,  1.08iter/s]
[ITER 50] Current best score: 258.1926
[PARAMS] Current best parameters:
  fx: 553.5289
  fy: 556.6644
  px: 1025.7542
  py: 755.2220
  k1: -0.00257450
  k2: -0.00655743
  k3: 0.00343979
  k4: -0.00220483
  p1: 0.00032886
  p2: 0.00396451
  p3: -0.00169069
  p4: 0.00027098
  scale: 2.8535
  rotation: -2.3213

Best score: 219.4991: : 50iter [00:46,  1.08iter/s]
Best score: 219.4991: : 51iter [00:47,  1.11iter/s]
Best score: 219.4991: : 52iter [00:48,  1.11iter/s]
Best score: 219.4991: : 53iter [00:49,  1.10iter/s]
Best score: 219.4991: : 54iter [00:50,  1.09iter/s]
Best score: 219.4991: : 55iter [00:51,  1.07iter/s]
Best score: 219.4991: : 56iter [00:52,  1.09iter/s]
Best score: 219.4991: : 57iter [00:52,  1.09iter/s]
Best score: 219.4991: : 58iter [00:53,  1.10iter/s]
Best score: 219.4991: : 59iter [00:54,  1.09iter/s]
Best score: 219.4991: : 60iter [00:55,  1.08iter/s]
Best score: 219.4991: : 61iter [00:56,  1.08iter/s]
Best score: 219.4991: : 62iter [00:57,  1.09iter/s]
Best score: 219.4991: : 63iter [00:58,  1.11iter/s]
Best score: 219.4991: : 64iter [00:59,  1.12iter/s]
Best score: 219.4991: : 65iter [01:00,  1.11iter/s]
Best score: 219.4991: : 66iter [01:01,  1.09iter/s]
Best score: 219.4991: : 67iter [01:02,  1.09iter/s]
Best score: 219.4991: : 68iter [01:02,  1.10iter/s]
Best score: 219.4991: : 69iter [01:03,  1.12iter/s]
Best score: 219.4991: : 70iter [01:04,  1.09iter/s]
Best score: 219.4991: : 71iter [01:05,  1.09iter/s]
Best score: 219.4991: : 72iter [01:06,  1.09iter/s]
Best score: 219.4991: : 73iter [01:07,  1.10iter/s]
Best score: 145.7636: : 73iter [01:08,  1.10iter/s]
Best score: 145.7636: : 74iter [01:08,  1.11iter/s]
Best score: 145.7636: : 75iter [01:09,  1.13iter/s]
Best score: 145.7636: : 76iter [01:10,  1.14iter/s]
Best score: 145.7636: : 77iter [01:11,  1.11iter/s]
Best score: 145.7636: : 78iter [01:12,  1.10iter/s]
Best score: 145.7636: : 79iter [01:12,  1.09iter/s]
Best score: 145.7636: : 80iter [01:13,  1.09iter/s]
Best score: 130.9334: : 80iter [01:14,  1.09iter/s]
Best score: 130.9334: : 81iter [01:14,  1.11iter/s]
Best score: 130.9334: : 82iter [01:15,  1.09iter/s]
Best score: 130.9334: : 83iter [01:16,  1.09iter/s]
Best score: 130.9334: : 84iter [01:17,  1.07iter/s]
Best score: 130.9334: : 85iter [01:18,  1.07iter/s]
Best score: 130.9334: : 86iter [01:19,  1.06iter/s]
Best score: 130.9334: : 87iter [01:20,  1.09iter/s]
Best score: 130.9334: : 88iter [01:21,  1.11iter/s]
Best score: 130.9334: : 89iter [01:22,  1.11iter/s]
Best score: 107.0776: : 89iter [01:23,  1.11iter/s]
Best score: 107.0776: : 90iter [01:23,  1.11iter/s]
Best score: 107.0776: : 91iter [01:23,  1.09iter/s]
Best score: 107.0776: : 92iter [01:24,  1.09iter/s]
Best score: 107.0776: : 93iter [01:25,  1.10iter/s]
Best score: 107.0776: : 94iter [01:26,  1.09iter/s]
Best score: 107.0776: : 95iter [01:27,  1.10iter/s]
Best score: 107.0776: : 96iter [01:28,  1.09iter/s]
Best score: 107.0776: : 97iter [01:29,  1.08iter/s]
Best score: 107.0776: : 98iter [01:30,  1.08iter/s]
Best score: 107.0776: : 99iter [01:31,  1.09iter/s]
[ITER 100] Current best score: 107.0776
[PARAMS] Current best parameters:
  fx: 518.1046
  fy: 520.6719
  px: 1019.4000
  py: 756.1824
  k1: 0.03079309
  k2: 0.00669362
  k3: -0.02416026
  k4: 0.00781240
  p1: 0.00474076
  p2: -0.00303349
  p3: -0.00477887
  p4: 0.00139891
  scale: 2.9052
  rotation: -0.4522

Best score: 107.0776: : 100iter [01:32,  1.07iter/s]
Best score: 107.0776: : 101iter [01:33,  1.08iter/s]
Best score: 75.6318: : 101iter [01:34,  1.08iter/s] 
Best score: 75.6318: : 102iter [01:34,  1.09iter/s]
Best score: 75.6318: : 103iter [01:34,  1.13iter/s]
Best score: 75.6318: : 104iter [01:35,  1.11iter/s]
Best score: 75.6318: : 105iter [01:36,  1.12iter/s]
Best score: 75.6318: : 106iter [01:37,  1.11iter/s]
Best score: 75.6318: : 107iter [01:38,  1.12iter/s]
Best score: 75.6318: : 108iter [01:39,  1.10iter/s]
Best score: 75.6318: : 109iter [01:40,  1.09iter/s]
Best score: 75.6318: : 110iter [01:41,  1.10iter/s]
Best score: 75.6318: : 111iter [01:42,  1.11iter/s]
Best score: 75.6318: : 112iter [01:43,  1.08iter/s]
Best score: 75.6318: : 113iter [01:44,  1.09iter/s]
Best score: 75.6318: : 114iter [01:45,  1.07iter/s]
Best score: 75.6318: : 115iter [01:45,  1.09iter/s]
Best score: 75.6318: : 116iter [01:46,  1.09iter/s]
Best score: 75.6318: : 117iter [01:47,  1.08iter/s]
Best score: 75.6318: : 118iter [01:48,  1.10iter/s]
Best score: 75.6318: : 119iter [01:49,  1.07iter/s]
Best score: 75.6318: : 120iter [01:50,  1.08iter/s]
Best score: 75.6318: : 121iter [01:51,  1.09iter/s]
Best score: 75.6318: : 122iter [01:52,  1.08iter/s]
Best score: 75.6318: : 123iter [01:53,  1.07iter/s]
Best score: 75.6318: : 124iter [01:54,  1.10iter/s]
Best score: 75.6318: : 125iter [01:55,  1.12iter/s]
Best score: 75.6318: : 126iter [01:56,  1.09iter/s]
Best score: 75.6318: : 127iter [01:56,  1.09iter/s]
Best score: 75.6318: : 128iter [01:57,  1.07iter/s]
Best score: 75.6318: : 129iter [01:58,  1.07iter/s]
Best score: 75.6318: : 130iter [01:59,  1.06iter/s]
Best score: 75.6318: : 131iter [02:00,  1.05iter/s]
Best score: 75.6318: : 132iter [02:01,  1.08iter/s]
Best score: 75.6318: : 133iter [02:02,  1.08iter/s]
Best score: 75.6318: : 134iter [02:03,  1.07iter/s]
Best score: 75.6318: : 135iter [02:04,  1.11iter/s]
Best score: 75.6318: : 136iter [02:05,  1.11iter/s]
Best score: 75.6318: : 137iter [02:06,  1.13iter/s]
Best score: 75.6318: : 138iter [02:07,  1.09iter/s]
Best score: 75.6318: : 139iter [02:07,  1.12iter/s]
Best score: 75.6318: : 140iter [02:08,  1.09iter/s]
Best score: 75.6318: : 141iter [02:09,  1.09iter/s]
Best score: 75.6318: : 142iter [02:10,  1.07iter/s]
Best score: 75.6318: : 143iter [02:11,  1.07iter/s]
Best score: 75.6318: : 144iter [02:12,  1.07iter/s]
Best score: 75.6318: : 145iter [02:13,  1.07iter/s]
Best score: 75.6318: : 146iter [02:14,  1.08iter/s]
Best score: 75.6318: : 147iter [02:15,  1.11iter/s]
Best score: 75.6318: : 148iter [02:16,  1.12iter/s]
Best score: 75.6318: : 149iter [02:17,  1.10iter/s]
[ITER 150] Current best score: 79.6143
[PARAMS] Current best parameters:
  fx: 536.3915
  fy: 538.3837
  px: 1021.3288
  py: 757.9027
  k1: 0.04421141
  k2: 0.00275070
  k3: -0.02957034
  k4: 0.00826765
  p1: 0.00628186
  p2: -0.00247733
  p3: 0.00381747
  p4: -0.00049201
  scale: 2.6849
  rotation: 0.2730

Best score: 75.6318: : 150iter [02:18,  1.08iter/s]
Best score: 75.6318: : 151iter [02:18,  1.09iter/s]
Best score: 75.6318: : 152iter [02:19,  1.10iter/s]
Best score: 75.6318: : 153iter [02:20,  1.10iter/s]
Best score: 75.6318: : 154iter [02:21,  1.08iter/s]
Best score: 75.6318: : 155iter [02:22,  1.07iter/s]
Best score: 75.6318: : 156iter [02:23,  1.08iter/s]
Best score: 75.6318: : 157iter [02:24,  1.06iter/s]
Best score: 75.6318: : 158iter [02:25,  1.07iter/s]
Best score: 75.6318: : 159iter [02:26,  1.11iter/s]
Best score: 75.6318: : 160iter [02:27,  1.10iter/s]
Best score: 75.6318: : 161iter [02:28,  1.10iter/s]
Best score: 75.6318: : 162iter [02:29,  1.10iter/s]
Best score: 75.6318: : 163iter [02:30,  1.10iter/s]
Best score: 75.6318: : 164iter [02:30,  1.10iter/s]
Best score: 19.6332: : 164iter [02:31,  1.10iter/s]
Best score: 19.6332: : 165iter [02:31,  1.11iter/s]
Best score: 19.6332: : 166iter [02:32,  1.13iter/s]
Best score: 19.6332: : 167iter [02:33,  1.12iter/s]
Best score: 19.6332: : 168iter [02:34,  1.11iter/s]
Best score: 19.6332: : 169iter [02:35,  1.09iter/s]
Best score: 19.6332: : 170iter [02:36,  1.10iter/s]
Best score: 19.6332: : 171iter [02:37,  1.12iter/s]
Best score: 19.6332: : 172iter [02:38,  1.09iter/s]
Best score: 19.6332: : 173iter [02:39,  1.11iter/s]
Best score: 19.6332: : 174iter [02:39,  1.12iter/s]
Best score: 19.6332: : 175iter [02:40,  1.12iter/s]
Best score: 19.6332: : 176iter [02:41,  1.10iter/s]
Best score: 19.6332: : 177iter [02:42,  1.14iter/s]
Best score: 19.6332: : 178iter [02:43,  1.10iter/s]
Best score: 19.6332: : 179iter [02:44,  1.07iter/s]
Best score: 19.6332: : 180iter [02:45,  1.07iter/s]
Best score: 19.6332: : 181iter [02:46,  1.08iter/s]
Best score: 19.6332: : 182iter [02:47,  1.07iter/s]
Best score: 19.6332: : 183iter [02:48,  1.09iter/s]
Best score: 19.6332: : 184iter [02:49,  1.10iter/s]
Best score: 19.6332: : 185iter [02:49,  1.10iter/s]
Best score: 19.6332: : 186iter [02:50,  1.10iter/s]
Best score: 19.6332: : 187iter [02:51,  1.09iter/s]
Best score: 19.6332: : 188iter [02:52,  1.11iter/s]
Best score: 19.6332: : 189iter [02:53,  1.08iter/s]
Best score: 19.6332: : 190iter [02:54,  1.13iter/s]
Best score: 19.6332: : 191iter [02:55,  1.10iter/s]
Best score: 19.6332: : 192iter [02:56,  1.10iter/s]
Best score: 19.6332: : 193iter [02:57,  1.09iter/s]
Best score: 19.6332: : 194iter [02:58,  1.10iter/s]
Best score: 19.6332: : 195iter [02:59,  1.11iter/s]
Best score: 19.6332: : 196iter [02:59,  1.13iter/s]
Best score: 19.6332: : 197iter [03:00,  1.12iter/s]
Best score: 19.6332: : 198iter [03:01,  1.09iter/s]
Best score: 19.6332: : 199iter [03:02,  1.11iter/s]
[ITER 200] Current best score: 24.4394
[PARAMS] Current best parameters:
  fx: 547.5529
  fy: 545.7838
  px: 1020.4395
  py: 756.6288
  k1: 0.02185847
  k2: -0.01773279
  k3: -0.00863235
  k4: 0.00417778
  p1: 0.00629694
  p2: 0.00323100
  p3: 0.00745140
  p4: -0.00259554
  scale: 2.9192
  rotation: 0.2084

Best score: 19.6332: : 200iter [03:03,  1.06iter/s]
Best score: 19.6332: : 201iter [03:04,  1.06iter/s]
Best score: 19.6332: : 202iter [03:05,  1.07iter/s]
Best score: 19.6332: : 203iter [03:06,  1.08iter/s]
Best score: 19.6332: : 204iter [03:07,  1.07iter/s]
Best score: 19.6332: : 205iter [03:08,  1.08iter/s]
Best score: 19.6332: : 206iter [03:09,  1.08iter/s]
Best score: 19.6332: : 207iter [03:10,  1.08iter/s]
Best score: 19.6332: : 208iter [03:11,  1.07iter/s]
Best score: 19.6332: : 209iter [03:12,  1.08iter/s]
Best score: 19.6332: : 210iter [03:12,  1.09iter/s]
Best score: 19.6332: : 211iter [03:13,  1.11iter/s]
Best score: 19.6332: : 212iter [03:14,  1.09iter/s]
Best score: 19.6332: : 213iter [03:15,  1.09iter/s]
Best score: 19.6332: : 214iter [03:16,  1.08iter/s]
Best score: 19.6332: : 215iter [03:17,  1.09iter/s]
Best score: 19.6332: : 216iter [03:18,  1.07iter/s]
Best score: 19.6332: : 217iter [03:19,  1.07iter/s]
Best score: 19.6332: : 218iter [03:20,  1.04iter/s]
Best score: 19.6332: : 219iter [03:21,  1.06iter/s]
Best score: 19.6332: : 220iter [03:22,  1.06iter/s]
Best score: 19.6332: : 221iter [03:23,  1.09iter/s]
Best score: 19.6332: : 222iter [03:24,  1.09iter/s]
Best score: 19.6332: : 223iter [03:24,  1.09iter/s]
Best score: 19.6332: : 224iter [03:25,  1.10iter/s]
Best score: 19.6332: : 225iter [03:26,  1.09iter/s]
Best score: 19.6332: : 226iter [03:27,  1.07iter/s]
Best score: 19.6332: : 227iter [03:28,  1.08iter/s]
Best score: 19.6332: : 228iter [03:29,  1.07iter/s]
Best score: 19.6332: : 229iter [03:30,  1.08iter/s]
Best score: 13.6959: : 229iter [03:31,  1.08iter/s]
Best score: 13.6959: : 230iter [03:31,  1.09iter/s]
Best score: 13.6959: : 231iter [03:32,  1.07iter/s]
Best score: 13.6959: : 232iter [03:33,  1.10iter/s]
Best score: 13.6959: : 233iter [03:34,  1.11iter/s]
Best score: 13.6959: : 234iter [03:35,  1.11iter/s]
Best score: 13.6959: : 235iter [03:35,  1.12iter/s]
Best score: 13.6959: : 236iter [03:36,  1.10iter/s]
Best score: 13.6959: : 237iter [03:37,  1.11iter/s]
Best score: 13.6959: : 238iter [03:38,  1.12iter/s]
Best score: 13.6959: : 239iter [03:39,  1.12iter/s]
Best score: 13.6959: : 240iter [03:40,  1.09iter/s]
Best score: 13.6959: : 241iter [03:41,  1.08iter/s]
Best score: 13.6959: : 242iter [03:42,  1.10iter/s]
Best score: 13.6959: : 243iter [03:43,  1.10iter/s]
Best score: 13.6959: : 244iter [03:44,  1.11iter/s]
Best score: 13.6959: : 245iter [03:44,  1.14iter/s]
Best score: 13.6959: : 246iter [03:45,  1.14iter/s]
Best score: 13.6959: : 247iter [03:46,  1.15iter/s]
Best score: 13.6959: : 248iter [03:47,  1.17iter/s]
Best score: 13.6959: : 249iter [03:48,  1.15iter/s]
[ITER 250] Current best score: 13.9131
[PARAMS] Current best parameters:
  fx: 550.1435
  fy: 548.9921
  px: 1018.1759
  py: 756.9771
  k1: 0.03125470
  k2: -0.01813212
  k3: -0.01355122
  k4: 0.00546809
  p1: 0.00568411
  p2: -0.00208024
  p3: 0.00000779
  p4: -0.00094915
  scale: 2.8331
  rotation: 0.0478

Best score: 13.6959: : 250iter [03:49,  1.09iter/s]
Best score: 13.6959: : 251iter [03:50,  1.09iter/s]
Best score: 13.6959: : 252iter [03:51,  1.09iter/s]
Best score: 13.6959: : 253iter [03:52,  1.09iter/s]
Best score: 13.6959: : 254iter [03:53,  1.08iter/s]
Best score: 13.6959: : 255iter [03:54,  1.07iter/s]
Best score: 13.6959: : 256iter [03:54,  1.10iter/s]
Best score: 13.6959: : 257iter [03:55,  1.09iter/s]
Best score: 13.6959: : 258iter [03:56,  1.13iter/s]
Best score: 13.6959: : 259iter [03:57,  1.13iter/s]
Best score: 13.6959: : 260iter [03:58,  1.11iter/s]
Best score: 13.6959: : 261iter [03:59,  1.10iter/s]
Best score: 13.6959: : 262iter [04:00,  1.10iter/s]
Best score: 13.6959: : 263iter [04:01,  1.11iter/s]
Best score: 13.6959: : 264iter [04:02,  1.14iter/s]
Best score: 13.6959: : 265iter [04:02,  1.13iter/s]
Best score: 13.6959: : 266iter [04:03,  1.11iter/s]
Best score: 12.1442: : 266iter [04:04,  1.11iter/s]
Best score: 12.1442: : 267iter [04:04,  1.14iter/s]
Best score: 12.1442: : 268iter [04:05,  1.12iter/s]
Best score: 12.1442: : 269iter [04:06,  1.11iter/s]
Best score: 12.1442: : 270iter [04:07,  1.11iter/s]
Best score: 12.1442: : 271iter [04:08,  1.10iter/s]
Best score: 12.1442: : 272iter [04:09,  1.12iter/s]
Best score: 12.1442: : 273iter [04:10,  1.11iter/s]
Best score: 12.1442: : 274iter [04:11,  1.11iter/s]
Best score: 11.4395: : 274iter [04:11,  1.11iter/s]
Best score: 11.4395: : 275iter [04:11,  1.11iter/s]
Best score: 11.4395: : 276iter [04:12,  1.10iter/s]
Best score: 11.4395: : 277iter [04:13,  1.11iter/s]
Best score: 11.4395: : 278iter [04:14,  1.10iter/s]
Best score: 11.4395: : 279iter [04:15,  1.12iter/s]
Best score: 11.4395: : 280iter [04:16,  1.13iter/s]
Best score: 8.5448: : 280iter [04:17,  1.13iter/s] 
Best score: 8.5448: : 281iter [04:17,  1.11iter/s]
Best score: 8.5448: : 282iter [04:18,  1.13iter/s]
Best score: 8.5448: : 283iter [04:19,  1.10iter/s]
Best score: 8.5448: : 284iter [04:20,  1.10iter/s]
Best score: 8.5448: : 285iter [04:20,  1.12iter/s]
Best score: 8.5448: : 286iter [04:21,  1.11iter/s]
Best score: 8.5448: : 287iter [04:22,  1.11iter/s]
Best score: 8.5448: : 288iter [04:23,  1.11iter/s]
Best score: 8.5448: : 289iter [04:24,  1.13iter/s]
Best score: 8.5448: : 290iter [04:25,  1.11iter/s]
Best score: 8.5448: : 291iter [04:26,  1.08iter/s]
Best score: 8.5448: : 292iter [04:27,  1.07iter/s]
Best score: 8.5448: : 293iter [04:28,  1.09iter/s]
Best score: 8.5448: : 294iter [04:29,  1.11iter/s]
Best score: 8.5448: : 295iter [04:30,  1.07iter/s]
Best score: 8.5448: : 296iter [04:31,  1.07iter/s]
Best score: 8.5448: : 297iter [04:31,  1.07iter/s]
Best score: 8.5448: : 298iter [04:32,  1.05iter/s]
Best score: 8.5448: : 299iter [04:33,  1.07iter/s]
[ITER 300] Current best score: 8.5448
[PARAMS] Current best parameters:
  fx: 541.2336
  fy: 541.6645
  px: 1018.9917
  py: 754.5486
  k1: 0.02114290
  k2: -0.00804253
  k3: -0.01368688
  k4: 0.00493592
  p1: 0.00133073
  p2: -0.00308420
  p3: 0.00277418
  p4: -0.00069685
  scale: 2.9061
  rotation: -0.3885

Best score: 8.5448: : 300iter [04:34,  1.02iter/s]
Best score: 8.5448: : 301iter [04:35,  1.06iter/s]
Best score: 8.5448: : 302iter [04:36,  1.06iter/s]
Best score: 8.5448: : 303iter [04:37,  1.04iter/s]
Best score: 8.5448: : 304iter [04:38,  1.05iter/s]
Best score: 8.5448: : 305iter [04:39,  1.08iter/s]
Best score: 8.5448: : 306iter [04:40,  1.08iter/s]
Best score: 8.5448: : 307iter [04:41,  1.09iter/s]
Best score: 8.5448: : 308iter [04:42,  1.12iter/s]
Best score: 8.5448: : 309iter [04:43,  1.13iter/s]
Best score: 8.5448: : 310iter [04:44,  1.10iter/s]
Best score: 8.5448: : 311iter [04:45,  1.09iter/s]
Best score: 8.5448: : 312iter [04:45,  1.09iter/s]
Best score: 8.5448: : 313iter [04:46,  1.08iter/s]
Best score: 6.9453: : 313iter [04:47,  1.08iter/s]
Best score: 6.9453: : 314iter [04:47,  1.07iter/s]
Best score: 6.9453: : 315iter [04:48,  1.07iter/s]
Best score: 6.9453: : 316iter [04:49,  1.08iter/s]
Best score: 6.9453: : 317iter [04:50,  1.07iter/s]
Best score: 6.9453: : 318iter [04:51,  1.05iter/s]
Best score: 6.9453: : 319iter [04:52,  1.04iter/s]
Best score: 6.9453: : 320iter [04:53,  1.06iter/s]
Best score: 6.9453: : 321iter [04:54,  1.04iter/s]
Best score: 6.9453: : 322iter [04:55,  1.07iter/s]
Best score: 6.9453: : 323iter [04:56,  1.08iter/s]
Best score: 6.9453: : 324iter [04:57,  1.10iter/s]
Best score: 6.9453: : 325iter [04:58,  1.07iter/s]
Best score: 6.9453: : 326iter [04:59,  1.07iter/s]
Best score: 6.9453: : 327iter [05:00,  1.06iter/s]
Best score: 6.9453: : 328iter [05:00,  1.06iter/s]
Best score: 6.9453: : 329iter [05:01,  1.07iter/s]
Best score: 6.9453: : 330iter [05:02,  1.08iter/s]
Best score: 6.9453: : 331iter [05:03,  1.09iter/s]
Best score: 6.9453: : 332iter [05:04,  1.08iter/s]
Best score: 6.9453: : 333iter [05:05,  1.05iter/s]
Best score: 6.9453: : 334iter [05:06,  1.06iter/s]
Best score: 6.9453: : 335iter [05:07,  1.04iter/s]
Best score: 6.9453: : 336iter [05:08,  1.04iter/s]
Best score: 6.9453: : 337iter [05:09,  1.02iter/s]
Best score: 6.9453: : 338iter [05:10,  1.04iter/s]
Best score: 6.9453: : 339iter [05:11,  1.05iter/s]
Best score: 6.9453: : 340iter [05:12,  1.06iter/s]
Best score: 6.9453: : 341iter [05:13,  1.04iter/s]
Best score: 6.9453: : 342iter [05:14,  1.08iter/s]
Best score: 6.9453: : 343iter [05:15,  1.08iter/s]
Best score: 6.9453: : 344iter [05:16,  1.07iter/s]
Best score: 6.9453: : 345iter [05:16,  1.08iter/s]
Best score: 6.9453: : 346iter [05:17,  1.10iter/s]
Best score: 6.9453: : 347iter [05:18,  1.08iter/s]
Best score: 6.9453: : 348iter [05:19,  1.06iter/s]
Best score: 6.9453: : 349iter [05:20,  1.06iter/s]
[ITER 350] Current best score: 8.6108
[PARAMS] Current best parameters:
  fx: 537.8307
  fy: 537.8900
  px: 1020.2295
  py: 755.4214
  k1: 0.01163406
  k2: -0.00346370
  k3: -0.00518183
  k4: 0.00111564
  p1: 0.00195361
  p2: 0.00025316
  p3: 0.00088954
  p4: -0.00043084
  scale: 2.8946
  rotation: -0.4742

Best score: 6.9453: : 350iter [05:21,  1.03iter/s]
Best score: 6.9453: : 351iter [05:22,  1.04iter/s]
Best score: 6.9453: : 352iter [05:23,  1.05iter/s]
Best score: 6.9453: : 353iter [05:24,  1.07iter/s]
Best score: 6.9453: : 354iter [05:25,  1.05iter/s]
Best score: 6.9453: : 355iter [05:26,  1.06iter/s]
Best score: 6.0195: : 355iter [05:27,  1.06iter/s]
Best score: 6.0195: : 356iter [05:27,  1.06iter/s]
Best score: 6.0195: : 357iter [05:28,  1.08iter/s]
Best score: 6.0195: : 358iter [05:29,  1.07iter/s]
Best score: 6.0195: : 359iter [05:30,  1.09iter/s]
Best score: 6.0195: : 360iter [05:31,  1.09iter/s]
Best score: 6.0195: : 361iter [05:31,  1.12iter/s]
Best score: 6.0195: : 362iter [05:32,  1.12iter/s]
Best score: 6.0195: : 363iter [05:33,  1.11iter/s]
Best score: 6.0195: : 364iter [05:34,  1.13iter/s]
Best score: 6.0195: : 365iter [05:35,  1.12iter/s]
Best score: 6.0195: : 366iter [05:36,  1.13iter/s]
Best score: 6.0195: : 367iter [05:37,  1.09iter/s]
Best score: 6.0195: : 368iter [05:38,  1.07iter/s]
Best score: 6.0195: : 369iter [05:39,  1.08iter/s]
Best score: 6.0195: : 370iter [05:40,  1.06iter/s]
Best score: 6.0195: : 371iter [05:41,  1.09iter/s]
Best score: 6.0195: : 372iter [05:41,  1.12iter/s]
Best score: 6.0195: : 373iter [05:42,  1.09iter/s]
Best score: 6.0195: : 374iter [05:43,  1.09iter/s]
Best score: 6.0195: : 375iter [05:44,  1.10iter/s]
Best score: 6.0195: : 376iter [05:45,  1.06iter/s]
Best score: 6.0195: : 377iter [05:46,  1.09iter/s]
Best score: 6.0195: : 378iter [05:47,  1.06iter/s]
Best score: 6.0195: : 379iter [05:48,  1.05iter/s]
Best score: 6.0195: : 380iter [05:49,  1.08iter/s]
Best score: 6.0195: : 381iter [05:50,  1.11iter/s]
Best score: 6.0195: : 382iter [05:51,  1.10iter/s]
Best score: 6.0195: : 383iter [05:52,  1.10iter/s]
Best score: 6.0195: : 384iter [05:52,  1.10iter/s]
Best score: 6.0195: : 385iter [05:53,  1.10iter/s]
Best score: 6.0195: : 386iter [05:54,  1.11iter/s]
Best score: 6.0195: : 387iter [05:55,  1.08iter/s]
Best score: 6.0195: : 388iter [05:56,  1.08iter/s]
Best score: 6.0195: : 389iter [05:57,  1.10iter/s]
Best score: 6.0195: : 390iter [05:58,  1.13iter/s]
Best score: 6.0195: : 391iter [05:59,  1.12iter/s]
Best score: 6.0195: : 392iter [06:00,  1.10iter/s]
Best score: 6.0195: : 393iter [06:01,  1.14iter/s]
Best score: 6.0195: : 394iter [06:01,  1.15iter/s]
Best score: 6.0195: : 395iter [06:02,  1.11iter/s]
Best score: 5.9013: : 395iter [06:03,  1.11iter/s]
Best score: 5.9013: : 396iter [06:03,  1.09iter/s]
Best score: 5.9013: : 397iter [06:04,  1.11iter/s]
Best score: 5.9013: : 398iter [06:05,  1.11iter/s]
Best score: 5.9013: : 399iter [06:06,  1.10iter/s]
[ITER 400] Current best score: 5.9013
[PARAMS] Current best parameters:
  fx: 530.8399
  fy: 530.7118
  px: 1022.8097
  py: 755.5719
  k1: -0.00026838
  k2: -0.01496667
  k3: 0.01442277
  k4: -0.00394244
  p1: 0.00362870
  p2: 0.00503523
  p3: -0.00411170
  p4: 0.00042877
  scale: 3.0514
  rotation: 0.0097

Best score: 5.9013: : 400iter [06:07,  1.08iter/s]
Best score: 5.9013: : 401iter [06:08,  1.11iter/s]
Best score: 5.9013: : 402iter [06:09,  1.07iter/s]
Best score: 5.9013: : 403iter [06:10,  1.10iter/s]
Best score: 5.9013: : 404iter [06:11,  1.08iter/s]
Best score: 5.9013: : 405iter [06:12,  1.09iter/s]
Best score: 5.9013: : 406iter [06:12,  1.11iter/s]
Best score: 5.9013: : 407iter [06:13,  1.12iter/s]
Best score: 5.9013: : 408iter [06:14,  1.11iter/s]
Best score: 5.2175: : 408iter [06:15,  1.11iter/s]
Best score: 5.2175: : 409iter [06:15,  1.11iter/s]
Best score: 5.2175: : 410iter [06:16,  1.14iter/s]
Best score: 5.2175: : 411iter [06:17,  1.13iter/s]
Best score: 5.2175: : 412iter [06:18,  1.13iter/s]
Best score: 5.2175: : 413iter [06:19,  1.13iter/s]
Best score: 5.2175: : 414iter [06:20,  1.11iter/s]
Best score: 5.2175: : 415iter [06:20,  1.12iter/s]
Best score: 5.2175: : 416iter [06:21,  1.12iter/s]
Best score: 5.2175: : 417iter [06:22,  1.13iter/s]
Best score: 5.2175: : 418iter [06:23,  1.12iter/s]
Best score: 5.2175: : 419iter [06:24,  1.11iter/s]
Best score: 5.2175: : 420iter [06:25,  1.14iter/s]
Best score: 5.2175: : 421iter [06:26,  1.13iter/s]
Best score: 5.2175: : 422iter [06:27,  1.13iter/s]
Best score: 5.2175: : 423iter [06:28,  1.12iter/s]
Best score: 5.2175: : 424iter [06:28,  1.12iter/s]
Best score: 5.2175: : 425iter [06:29,  1.14iter/s]
Best score: 5.2175: : 426iter [06:30,  1.11iter/s]
Best score: 5.2175: : 427iter [06:31,  1.12iter/s]
Best score: 5.2175: : 428iter [06:32,  1.11iter/s]
Best score: 5.2175: : 429iter [06:33,  1.12iter/s]
Best score: 5.2175: : 430iter [06:34,  1.13iter/s]
Best score: 5.2175: : 431iter [06:35,  1.11iter/s]
Best score: 5.2175: : 432iter [06:36,  1.09iter/s]
Best score: 5.2175: : 433iter [06:37,  1.09iter/s]
Best score: 5.2175: : 434iter [06:38,  1.07iter/s]
Best score: 5.2175: : 435iter [06:38,  1.06iter/s]
Best score: 5.2175: : 436iter [06:39,  1.06iter/s]
Best score: 5.2175: : 437iter [06:40,  1.04iter/s]
Best score: 5.2175: : 438iter [06:41,  1.06iter/s]
Best score: 5.2175: : 439iter [06:42,  1.06iter/s]
Best score: 5.2175: : 440iter [06:43,  1.07iter/s]
Best score: 5.2175: : 441iter [06:44,  1.08iter/s]
Best score: 5.2175: : 442iter [06:45,  1.07iter/s]
Best score: 5.2175: : 443iter [06:46,  1.09iter/s]
Best score: 5.2175: : 444iter [06:47,  1.07iter/s]
Best score: 5.2175: : 445iter [06:48,  1.08iter/s]
Best score: 5.2175: : 446iter [06:49,  1.08iter/s]
Best score: 4.3763: : 446iter [06:50,  1.08iter/s]
Best score: 4.3763: : 447iter [06:50,  1.09iter/s]
Best score: 4.3763: : 448iter [06:51,  1.10iter/s]
Best score: 4.3763: : 449iter [06:51,  1.09iter/s]
[ITER 450] Current best score: 4.3763
[PARAMS] Current best parameters:
  fx: 536.5365
  fy: 536.7771
  px: 1019.5939
  py: 756.1845
  k1: 0.02242424
  k2: -0.01327295
  k3: -0.00451679
  k4: 0.00197991
  p1: 0.00415065
  p2: -0.00088476
  p3: -0.00449745
  p4: 0.00024379
  scale: 2.9164
  rotation: -0.1602

Best score: 4.3763: : 450iter [06:52,  1.05iter/s]
Best score: 4.3763: : 451iter [06:53,  1.06iter/s]
Best score: 4.3763: : 452iter [06:54,  1.04iter/s]
Best score: 4.3763: : 453iter [06:55,  1.06iter/s]
Best score: 4.3763: : 454iter [06:56,  1.05iter/s]
Best score: 4.3763: : 455iter [06:57,  1.09iter/s]
Best score: 4.3763: : 456iter [06:58,  1.09iter/s]
Best score: 4.3763: : 457iter [06:59,  1.07iter/s]
Best score: 4.3763: : 458iter [07:00,  1.08iter/s]
Best score: 4.3763: : 459iter [07:01,  1.08iter/s]
Best score: 3.5762: : 459iter [07:02,  1.08iter/s]
Best score: 3.5762: : 460iter [07:02,  1.08iter/s]
Best score: 3.5762: : 461iter [07:03,  1.11iter/s]
Best score: 3.5762: : 462iter [07:03,  1.13iter/s]
Best score: 3.4283: : 462iter [07:04,  1.13iter/s]
Best score: 3.4283: : 463iter [07:04,  1.11iter/s]
Best score: 3.4283: : 464iter [07:05,  1.08iter/s]
Best score: 3.4283: : 465iter [07:06,  1.07iter/s]
Best score: 3.4283: : 466iter [07:07,  1.07iter/s]
Best score: 3.4283: : 467iter [07:08,  1.11iter/s]
Best score: 3.4283: : 468iter [07:09,  1.12iter/s]
Best score: 3.4283: : 469iter [07:10,  1.14iter/s]
Best score: 3.4283: : 470iter [07:11,  1.16iter/s]
Best score: 3.4283: : 471iter [07:12,  1.12iter/s]
Best score: 3.4283: : 472iter [07:13,  1.08iter/s]
Best score: 3.4283: : 473iter [07:14,  1.08iter/s]
Best score: 3.4283: : 474iter [07:14,  1.08iter/s]
Best score: 3.4283: : 475iter [07:15,  1.11iter/s]
Best score: 3.4283: : 476iter [07:16,  1.08iter/s]
Best score: 3.4283: : 477iter [07:17,  1.08iter/s]
Best score: 3.4283: : 478iter [07:18,  1.08iter/s]
Best score: 3.4283: : 479iter [07:19,  1.10iter/s]
Best score: 3.4283: : 480iter [07:20,  1.11iter/s]
Best score: 3.4283: : 481iter [07:21,  1.11iter/s]
Best score: 3.4283: : 482iter [07:22,  1.11iter/s]
Best score: 3.4283: : 483iter [07:23,  1.12iter/s]
Best score: 3.4283: : 484iter [07:23,  1.13iter/s]
Best score: 3.4283: : 485iter [07:24,  1.10iter/s]
Best score: 3.4283: : 486iter [07:25,  1.08iter/s]
Best score: 3.4283: : 487iter [07:26,  1.09iter/s]
Best score: 3.4283: : 488iter [07:27,  1.08iter/s]
Best score: 3.4283: : 489iter [07:28,  1.09iter/s]
Best score: 3.4283: : 490iter [07:29,  1.11iter/s]
Best score: 3.4283: : 491iter [07:30,  1.13iter/s]
Best score: 3.4283: : 492iter [07:31,  1.13iter/s]
Best score: 3.4283: : 493iter [07:32,  1.13iter/s]
Best score: 3.4283: : 494iter [07:33,  1.10iter/s]
Best score: 3.4283: : 495iter [07:33,  1.12iter/s]
Best score: 3.4283: : 496iter [07:34,  1.10iter/s]
Best score: 3.4283: : 497iter [07:35,  1.08iter/s]
Best score: 3.4283: : 498iter [07:36,  1.10iter/s]
Best score: 3.4283: : 499iter [07:37,  1.11iter/s]
[ITER 500] Current best score: 3.4283
[PARAMS] Current best parameters:
  fx: 524.9458
  fy: 524.8194
  px: 1019.0952
  py: 755.9332
  k1: 0.03307223
  k2: -0.00826386
  k3: -0.00899403
  k4: 0.00284595
  p1: 0.00379085
  p2: -0.00128058
  p3: -0.00385608
  p4: 0.00025234
  scale: 2.9200
  rotation: -0.1832

Best score: 3.4283: : 500iter [07:38,  1.07iter/s]
Best score: 3.4283: : 500iter [09:24,  1.13s/iter]

[📈] Forcing polish step after 500 iterations...
  Polish improved score: 2.789357 -> 2.789349
  Success: True
  Tangential distortion: p1=0.003687, p2=-0.001995, p3=-0.003798, p4=0.000365
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 2.7893
[✅] 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: 524.9457834999954
    fy: 524.8193521746333
    px: 1019.0952470560306
    py: 755.9331544860131
    k1: 0.032947375121030985
    k2: -0.00812964496533987
    k3: -0.009022000441482995
    k4: 0.0028286107088960366
    p1: 0.0036868104373755078
    p2: -0.0019951713379323245
    p3: -0.003798125533570643
    p4: 0.0003653040972896842
    scale: 2.9200297923208836
    rotation: -0.1819236282472796
    mmpp: 1.2867884940889573
    nmpp: 1286788.4940889573

[🔄] Converting 2508 frames to PTD, creating debug images for 300 calibration frames...

📁 Rigs:   0%|          | 0/3 [00:00<?, ?rig/s]

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

   🔄 500:   4%|▎         | 18/500 [00:00<00:02, 174.59frame/s]

   🔄 500:   7%|▋         | 36/500 [00:00<00:02, 177.65frame/s]

   🔄 500:  11%|█         | 54/500 [00:00<00:02, 177.98frame/s]

   🔄 500:  15%|█▍        | 73/500 [00:00<00:02, 179.17frame/s]

   🔄 500:  18%|█▊        | 92/500 [00:00<00:02, 180.83frame/s]

   🔄 500:  22%|██▏       | 111/500 [00:00<00:02, 181.50frame/s]

   🔄 500:  26%|██▌       | 130/500 [00:00<00:02, 182.29frame/s]

   🔄 500:  30%|██▉       | 149/500 [00:00<00:01, 182.77frame/s]

   🔄 500:  34%|███▎      | 168/500 [00:00<00:01, 182.78frame/s]

   🔄 500:  37%|███▋      | 187/500 [00:01<00:01, 182.37frame/s]

   🔄 500:  41%|████      | 206/500 [00:01<00:01, 181.88frame/s]

   🔄 500:  45%|████▌     | 225/500 [00:01<00:01, 180.89frame/s]

   🔄 500:  49%|████▉     | 244/500 [00:01<00:01, 180.71frame/s]

   🔄 500:  53%|█████▎    | 263/500 [00:01<00:01, 180.78frame/s]

   🔄 500:  56%|█████▋    | 282/500 [00:01<00:01, 180.64frame/s]

   🔄 500:  60%|██████    | 301/500 [00:01<00:01, 180.82frame/s]

   🔄 500:  64%|██████▍   | 320/500 [00:01<00:00, 180.82frame/s]

   🔄 500:  68%|██████▊   | 339/500 [00:01<00:00, 180.35frame/s]

   🔄 500:  72%|███████▏  | 358/500 [00:01<00:00, 180.75frame/s]

   🔄 500:  75%|███████▌  | 377/500 [00:02<00:00, 181.41frame/s]

   🔄 500:  79%|███████▉  | 396/500 [00:02<00:00, 182.41frame/s]

   🔄 500:  83%|████████▎ | 415/500 [00:02<00:00, 183.24frame/s]

   🔄 500:  87%|████████▋ | 434/500 [00:02<00:00, 182.25frame/s]

   🔄 500:  91%|█████████ | 453/500 [00:02<00:00, 180.23frame/s]

   🔄 500:  94%|█████████▍| 472/500 [00:02<00:00, 179.75frame/s]

   🔄 500:  98%|█████████▊| 491/500 [00:02<00:00, 181.03frame/s]

                                                                
📁 Rigs:  33%|███▎      | 1/3 [00:05<00:10,  5.09s/rig]

   🔄 1000:   0%|          | 0/659 [00:00<?, ?frame/s]

   🔄 1000:   3%|▎         | 19/659 [00:00<00:03, 182.36frame/s]

   🔄 1000:   6%|▌         | 38/659 [00:00<00:03, 179.86frame/s]

   🔄 1000:   8%|▊         | 56/659 [00:00<00:03, 178.40frame/s]

   🔄 1000:  11%|█         | 74/659 [00:00<00:03, 177.64frame/s]

   🔄 1000:  14%|█▍        | 92/659 [00:00<00:03, 177.20frame/s]

   🔄 1000:  17%|█▋        | 110/659 [00:00<00:03, 177.47frame/s]

   🔄 1000:  19%|█▉        | 128/659 [00:00<00:02, 177.74frame/s]

   🔄 1000:  22%|██▏       | 146/659 [00:00<00:02, 177.70frame/s]

   🔄 1000:  25%|██▍       | 164/659 [00:00<00:02, 178.36frame/s]

   🔄 1000:  28%|██▊       | 182/659 [00:01<00:02, 178.60frame/s]

   🔄 1000:  30%|███       | 200/659 [00:01<00:02, 178.34frame/s]

   🔄 1000:  33%|███▎      | 218/659 [00:01<00:02, 177.85frame/s]

   🔄 1000:  36%|███▌      | 236/659 [00:01<00:02, 177.78frame/s]

   🔄 1000:  39%|███▊      | 254/659 [00:01<00:02, 178.01frame/s]

   🔄 1000:  41%|████▏     | 272/659 [00:01<00:02, 178.43frame/s]

   🔄 1000:  44%|████▍     | 290/659 [00:01<00:02, 178.68frame/s]

   🔄 1000:  47%|████▋     | 308/659 [00:01<00:01, 178.06frame/s]

   🔄 1000:  49%|████▉     | 326/659 [00:01<00:01, 177.83frame/s]

   🔄 1000:  52%|█████▏    | 344/659 [00:01<00:01, 177.81frame/s]

   🔄 1000:  55%|█████▍    | 362/659 [00:02<00:01, 178.08frame/s]

   🔄 1000:  58%|█████▊    | 380/659 [00:02<00:01, 178.30frame/s]

   🔄 1000:  60%|██████    | 398/659 [00:02<00:01, 178.25frame/s]

   🔄 1000:  63%|██████▎   | 416/659 [00:02<00:01, 177.89frame/s]

   🔄 1000:  66%|██████▌   | 434/659 [00:02<00:01, 177.43frame/s]

   🔄 1000:  69%|██████▊   | 452/659 [00:02<00:01, 177.19frame/s]

   🔄 1000:  71%|███████▏  | 470/659 [00:02<00:01, 176.91frame/s]

   🔄 1000:  74%|███████▍  | 488/659 [00:02<00:00, 177.02frame/s]

   🔄 1000:  77%|███████▋  | 506/659 [00:02<00:00, 177.10frame/s]

   🔄 1000:  80%|███████▉  | 524/659 [00:02<00:00, 177.24frame/s]

   🔄 1000:  82%|████████▏ | 542/659 [00:03<00:00, 177.17frame/s]

   🔄 1000:  85%|████████▍ | 560/659 [00:03<00:00, 176.85frame/s]

   🔄 1000:  88%|████████▊ | 578/659 [00:03<00:00, 176.73frame/s]

   🔄 1000:  90%|█████████ | 596/659 [00:03<00:00, 176.70frame/s]

   🔄 1000:  93%|█████████▎| 614/659 [00:03<00:00, 176.54frame/s]

   🔄 1000:  96%|█████████▌| 632/659 [00:03<00:00, 176.42frame/s]

   🔄 1000:  99%|█████████▊| 650/659 [00:03<00:00, 176.68frame/s]

                                                                 
📁 Rigs:  67%|██████▋   | 2/3 [00:11<00:05,  5.96s/rig]

   🔄 1500:   0%|          | 0/1349 [00:00<?, ?frame/s]

   🔄 1500:   1%|▏         | 20/1349 [00:00<00:06, 193.49frame/s]

   🔄 1500:   3%|▎         | 40/1349 [00:00<00:07, 185.39frame/s]

   🔄 1500:   4%|▍         | 59/1349 [00:00<00:07, 182.69frame/s]

   🔄 1500:   6%|▌         | 78/1349 [00:00<00:07, 181.45frame/s]

   🔄 1500:   7%|▋         | 97/1349 [00:00<00:06, 180.59frame/s]

   🔄 1500:   9%|▊         | 116/1349 [00:00<00:06, 180.13frame/s]

   🔄 1500:  10%|█         | 135/1349 [00:00<00:06, 179.90frame/s]

   🔄 1500:  11%|█▏        | 153/1349 [00:00<00:06, 179.61frame/s]

   🔄 1500:  13%|█▎        | 171/1349 [00:00<00:06, 179.45frame/s]

   🔄 1500:  14%|█▍        | 189/1349 [00:01<00:06, 179.35frame/s]

   🔄 1500:  15%|█▌        | 207/1349 [00:01<00:06, 178.89frame/s]

   🔄 1500:  17%|█▋        | 225/1349 [00:01<00:06, 178.06frame/s]

   🔄 1500:  18%|█▊        | 243/1349 [00:01<00:06, 176.90frame/s]

   🔄 1500:  19%|█▉        | 261/1349 [00:01<00:06, 176.10frame/s]

   🔄 1500:  21%|██        | 279/1349 [00:01<00:06, 175.76frame/s]

   🔄 1500:  22%|██▏       | 297/1349 [00:01<00:05, 175.42frame/s]

   🔄 1500:  23%|██▎       | 315/1349 [00:01<00:05, 175.32frame/s]

   🔄 1500:  25%|██▍       | 333/1349 [00:01<00:05, 175.26frame/s]

   🔄 1500:  26%|██▌       | 351/1349 [00:01<00:05, 175.52frame/s]

   🔄 1500:  27%|██▋       | 369/1349 [00:02<00:05, 175.44frame/s]

   🔄 1500:  29%|██▊       | 387/1349 [00:02<00:05, 175.46frame/s]

   🔄 1500:  30%|███       | 405/1349 [00:02<00:05, 175.67frame/s]

   🔄 1500:  31%|███▏      | 423/1349 [00:02<00:05, 175.74frame/s]

   🔄 1500:  33%|███▎      | 441/1349 [00:02<00:05, 175.77frame/s]

   🔄 1500:  34%|███▍      | 459/1349 [00:02<00:05, 175.70frame/s]

   🔄 1500:  35%|███▌      | 477/1349 [00:02<00:04, 175.85frame/s]

   🔄 1500:  37%|███▋      | 495/1349 [00:02<00:04, 175.84frame/s]

   🔄 1500:  38%|███▊      | 513/1349 [00:02<00:04, 175.79frame/s]

   🔄 1500:  39%|███▉      | 531/1349 [00:02<00:04, 175.94frame/s]

   🔄 1500:  41%|████      | 549/1349 [00:03<00:04, 176.25frame/s]

   🔄 1500:  42%|████▏     | 567/1349 [00:03<00:04, 176.53frame/s]

   🔄 1500:  43%|████▎     | 585/1349 [00:03<00:04, 176.92frame/s]

   🔄 1500:  45%|████▍     | 603/1349 [00:03<00:04, 176.50frame/s]

   🔄 1500:  46%|████▌     | 621/1349 [00:03<00:04, 176.89frame/s]

   🔄 1500:  47%|████▋     | 640/1349 [00:03<00:03, 178.17frame/s]

   🔄 1500:  49%|████▉     | 658/1349 [00:03<00:03, 178.26frame/s]

   🔄 1500:  50%|█████     | 676/1349 [00:03<00:03, 178.21frame/s]

   🔄 1500:  51%|█████▏    | 694/1349 [00:03<00:03, 178.14frame/s]

   🔄 1500:  53%|█████▎    | 712/1349 [00:04<00:03, 178.05frame/s]

   🔄 1500:  54%|█████▍    | 730/1349 [00:04<00:03, 177.63frame/s]

   🔄 1500:  55%|█████▌    | 748/1349 [00:04<00:03, 177.62frame/s]

   🔄 1500:  57%|█████▋    | 766/1349 [00:04<00:03, 177.41frame/s]

   🔄 1500:  58%|█████▊    | 784/1349 [00:04<00:03, 176.70frame/s]

   🔄 1500:  59%|█████▉    | 802/1349 [00:04<00:03, 176.70frame/s]

   🔄 1500:  61%|██████    | 820/1349 [00:04<00:02, 176.63frame/s]

   🔄 1500:  62%|██████▏   | 838/1349 [00:04<00:02, 176.48frame/s]

   🔄 1500:  63%|██████▎   | 856/1349 [00:04<00:02, 176.38frame/s]

   🔄 1500:  65%|██████▍   | 874/1349 [00:04<00:02, 176.37frame/s]

   🔄 1500:  66%|██████▌   | 892/1349 [00:05<00:02, 176.35frame/s]

   🔄 1500:  67%|██████▋   | 910/1349 [00:05<00:02, 176.10frame/s]

   🔄 1500:  69%|██████▉   | 928/1349 [00:05<00:02, 175.63frame/s]

   🔄 1500:  70%|███████   | 946/1349 [00:05<00:02, 175.29frame/s]

   🔄 1500:  71%|███████▏  | 964/1349 [00:05<00:02, 175.22frame/s]

   🔄 1500:  73%|███████▎  | 982/1349 [00:05<00:02, 174.99frame/s]

   🔄 1500:  74%|███████▍  | 1000/1349 [00:05<00:01, 174.90frame/s]

   🔄 1500:  75%|███████▌  | 1018/1349 [00:05<00:01, 174.90frame/s]

   🔄 1500:  77%|███████▋  | 1036/1349 [00:05<00:01, 174.81frame/s]

   🔄 1500:  78%|███████▊  | 1054/1349 [00:05<00:01, 174.76frame/s]

   🔄 1500:  79%|███████▉  | 1072/1349 [00:06<00:01, 174.75frame/s]

   🔄 1500:  81%|████████  | 1090/1349 [00:06<00:01, 174.74frame/s]

   🔄 1500:  82%|████████▏ | 1108/1349 [00:06<00:01, 174.70frame/s]

   🔄 1500:  83%|████████▎ | 1126/1349 [00:06<00:01, 174.80frame/s]

   🔄 1500:  85%|████████▍ | 1144/1349 [00:06<00:01, 174.90frame/s]

   🔄 1500:  86%|████████▌ | 1162/1349 [00:06<00:01, 174.92frame/s]

   🔄 1500:  87%|████████▋ | 1180/1349 [00:06<00:00, 175.05frame/s]

   🔄 1500:  89%|████████▉ | 1198/1349 [00:06<00:00, 175.09frame/s]

   🔄 1500:  90%|█████████ | 1216/1349 [00:06<00:00, 174.91frame/s]

   🔄 1500:  91%|█████████▏| 1234/1349 [00:06<00:00, 175.39frame/s]

   🔄 1500:  93%|█████████▎| 1252/1349 [00:07<00:00, 175.68frame/s]

   🔄 1500:  94%|█████████▍| 1270/1349 [00:07<00:00, 176.15frame/s]

   🔄 1500:  95%|█████████▌| 1288/1349 [00:07<00:00, 176.51frame/s]

   🔄 1500:  97%|█████████▋| 1306/1349 [00:07<00:00, 176.89frame/s]

   🔄 1500:  98%|█████████▊| 1324/1349 [00:07<00:00, 177.11frame/s]

   🔄 1500:  99%|█████████▉| 1342/1349 [00:07<00:00, 177.31frame/s]

                                                                   
📁 Rigs: 100%|██████████| 3/3 [00:25<00:00,  9.46s/rig]
📁 Rigs: 100%|██████████| 3/3 [00:25<00:00,  8.43s/rig]
[✅] Saved PTDs: /working/MDC027_W031_2025-03-24/calibration/debug/3_undistorted/output/ptd

📁 Rigs:   0%|          | 0/3 [00:00<?, ?rig/s]

   🔄 500:   0%|          | 0/100 [00:00<?, ?frame/s]

   🔄 500:  19%|█▉        | 19/100 [00:00<00:00, 181.10frame/s]

   🔄 500:  38%|███▊      | 38/100 [00:00<00:00, 183.83frame/s]

   🔄 500:  57%|█████▋    | 57/100 [00:00<00:00, 183.30frame/s]

   🔄 500:  76%|███████▌  | 76/100 [00:00<00:00, 183.59frame/s]

   🔄 500:  95%|█████████▌| 95/100 [00:00<00:00, 183.42frame/s]

                                                               
📁 Rigs:  33%|███▎      | 1/3 [00:00<00:01,  1.15rig/s]

   🔄 1000:   0%|          | 0/100 [00:00<?, ?frame/s]

   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 182.19frame/s]

   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 180.57frame/s]

   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 178.94frame/s]

   🔄 1000:  75%|███████▌  | 75/100 [00:00<00:00, 178.37frame/s]

   🔄 1000:  93%|█████████▎| 93/100 [00:00<00:00, 178.30frame/s]

                                                                
📁 Rigs:  67%|██████▋   | 2/3 [00:01<00:00,  1.12rig/s]

   🔄 1500:   0%|          | 0/100 [00:00<?, ?frame/s]

   🔄 1500:  19%|█▉        | 19/100 [00:00<00:00, 183.11frame/s]

   🔄 1500:  38%|███▊      | 38/100 [00:00<00:00, 178.85frame/s]

   🔄 1500:  56%|█████▌    | 56/100 [00:00<00:00, 178.69frame/s]

   🔄 1500:  74%|███████▍  | 74/100 [00:00<00:00, 178.20frame/s]

   🔄 1500:  92%|█████████▏| 92/100 [00:00<00:00, 177.36frame/s]

                                                                
📁 Rigs: 100%|██████████| 3/3 [00:02<00:00,  1.10rig/s]
📁 Rigs: 100%|██████████| 3/3 [00:02<00:00,  1.11rig/s]
[✅] 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.

📤 Writing LUT:   0%|          | 0/3080448 [00:00<?, ?px/s]
📤 Writing LUT:   3%|▎         | 81424/3080448 [00:00<00:03, 814231.07px/s]
📤 Writing LUT:   6%|▌         | 172974/3080448 [00:00<00:03, 873798.80px/s]
📤 Writing LUT:   9%|▊         | 264959/3080448 [00:00<00:03, 894824.13px/s]
📤 Writing LUT:  12%|█▏        | 357483/3080448 [00:00<00:03, 906830.56px/s]
📤 Writing LUT:  15%|█▍        | 449172/3080448 [00:00<00:02, 910455.24px/s]
📤 Writing LUT:  18%|█▊        | 541535/3080448 [00:00<00:02, 914934.20px/s]
📤 Writing LUT:  21%|██        | 633816/3080448 [00:00<00:02, 917505.69px/s]
📤 Writing LUT:  24%|██▎       | 725929/3080448 [00:00<00:02, 918656.98px/s]
📤 Writing LUT:  27%|██▋       | 818094/3080448 [00:00<00:02, 919590.86px/s]
📤 Writing LUT:  30%|██▉       | 910862/3080448 [00:01<00:02, 922086.37px/s]
📤 Writing LUT:  33%|███▎      | 1003071/3080448 [00:01<00:02, 919475.84px/s]
📤 Writing LUT:  36%|███▌      | 1095021/3080448 [00:01<00:02, 918397.17px/s]
📤 Writing LUT:  39%|███▊      | 1188600/3080448 [00:01<00:02, 923652.74px/s]
📤 Writing LUT:  42%|████▏     | 1280968/3080448 [00:01<00:01, 902690.63px/s]
📤 Writing LUT:  45%|████▍     | 1374126/3080448 [00:01<00:01, 911222.38px/s]
📤 Writing LUT:  48%|████▊     | 1466258/3080448 [00:01<00:01, 914223.64px/s]
📤 Writing LUT:  51%|█████     | 1557745/3080448 [00:01<00:01, 914197.61px/s]
📤 Writing LUT:  54%|█████▎    | 1651108/3080448 [00:01<00:01, 920001.00px/s]
📤 Writing LUT:  57%|█████▋    | 1743188/3080448 [00:01<00:01, 920239.56px/s]
📤 Writing LUT:  60%|█████▉    | 1837736/3080448 [00:02<00:01, 927792.10px/s]
📤 Writing LUT:  63%|██████▎   | 1932246/3080448 [00:02<00:01, 932973.45px/s]
📤 Writing LUT:  66%|██████▌   | 2025559/3080448 [00:02<00:01, 929676.84px/s]
📤 Writing LUT:  69%|██████▉   | 2118540/3080448 [00:02<00:01, 926609.46px/s]
📤 Writing LUT:  72%|███████▏  | 2211212/3080448 [00:02<00:00, 923903.77px/s]
📤 Writing LUT:  75%|███████▍  | 2304902/3080448 [00:02<00:00, 927780.89px/s]
📤 Writing LUT:  78%|███████▊  | 2398120/3080448 [00:02<00:00, 929095.31px/s]
📤 Writing LUT:  81%|████████  | 2491036/3080448 [00:02<00:00, 926701.92px/s]
📤 Writing LUT:  84%|████████▍ | 2583712/3080448 [00:02<00:00, 926195.46px/s]
📤 Writing LUT:  87%|████████▋ | 2676335/3080448 [00:02<00:00, 925520.28px/s]
📤 Writing LUT:  90%|████████▉ | 2770143/3080448 [00:03<00:00, 929277.40px/s]
📤 Writing LUT:  93%|█████████▎| 2863625/3080448 [00:03<00:00, 930936.11px/s]
📤 Writing LUT:  96%|█████████▌| 2957794/3080448 [00:03<00:00, 934156.44px/s]
📤 Writing LUT:  99%|█████████▉| 3052616/3080448 [00:03<00:00, 938370.01px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 921309.28px/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
[🏁] Finished processing MDC027_W031_2025-03-24


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