-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathslurm-5240251.out
1035 lines (823 loc) · 162 KB
/
slurm-5240251.out
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
New https://pypi.org/project/ultralytics/8.1.41 available 😃 Update with 'pip install -U ultralytics'
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
[34m[1mengine/trainer: [0mtask=detect, mode=train, model=yolov8m.pt, data=custom.yaml, epochs=50, time=None, patience=50, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train19, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.028376665942929247, lrf=0.16106153272412177, momentum=0.9208374760740288, weight_decay=0.0007526843849473337, warmup_epochs=4.759997280094029, warmup_momentum=0.2776003063741067, warmup_bias_lr=0.1, box=0.0631428476701031, cls=2.54563345282708, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.0827898336807715, hsv_s=0.11200684115062952, hsv_v=0.8016226863425935, degrees=6.129715580670878, translate=0.5562938238293281, scale=0.02852432398525604, shear=5.777070936920299, perspective=0.000776018895203354, flipud=0.27871214575634207, fliplr=0.42835518630193814, mosaic=0.8716202796652113, mixup=0.9883000570588982, copy_paste=0.7217287606025053, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train19
Overriding model.yaml nc=80 with nc=1
from n params module arguments
0 -1 1 1392 ultralytics.nn.modules.conv.Conv [3, 48, 3, 2]
1 -1 1 41664 ultralytics.nn.modules.conv.Conv [48, 96, 3, 2]
2 -1 2 111360 ultralytics.nn.modules.block.C2f [96, 96, 2, True]
3 -1 1 166272 ultralytics.nn.modules.conv.Conv [96, 192, 3, 2]
4 -1 4 813312 ultralytics.nn.modules.block.C2f [192, 192, 4, True]
5 -1 1 664320 ultralytics.nn.modules.conv.Conv [192, 384, 3, 2]
6 -1 4 3248640 ultralytics.nn.modules.block.C2f [384, 384, 4, True]
7 -1 1 1991808 ultralytics.nn.modules.conv.Conv [384, 576, 3, 2]
8 -1 2 3985920 ultralytics.nn.modules.block.C2f [576, 576, 2, True]
9 -1 1 831168 ultralytics.nn.modules.block.SPPF [576, 576, 5]
10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1]
12 -1 2 1993728 ultralytics.nn.modules.block.C2f [960, 384, 2]
13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1]
15 -1 2 517632 ultralytics.nn.modules.block.C2f [576, 192, 2]
16 -1 1 332160 ultralytics.nn.modules.conv.Conv [192, 192, 3, 2]
17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
18 -1 2 1846272 ultralytics.nn.modules.block.C2f [576, 384, 2]
19 -1 1 1327872 ultralytics.nn.modules.conv.Conv [384, 384, 3, 2]
20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 2 4207104 ultralytics.nn.modules.block.C2f [960, 576, 2]
22 [15, 18, 21] 1 3776275 ultralytics.nn.modules.head.Detect [1, [192, 384, 576]]
Model summary: 295 layers, 25856899 parameters, 25856883 gradients, 79.1 GFLOPs
Transferred 469/475 items from pretrained weights
wandb: Currently logged in as: fin-jason20. Use `wandb login --relogin` to force relogin
wandb: wandb version 0.16.5 is available! To upgrade, please run:
wandb: $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.16.3
wandb: Run data is saved locally in /scratch/gilbreth/jpfinley/ultralytics/wandb/run-20240402_011627-s3s611xw
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run train19
wandb: ⭐️ View project at https://wandb.ai/fin-jason20/YOLOv8
wandb: 🚀 View run at https://wandb.ai/fin-jason20/YOLOv8/runs/s3s611xw
Freezing layer 'model.22.dfl.conv.weight'
[34m[1mAMP: [0mrunning Automatic Mixed Precision (AMP) checks with YOLOv8n...
[34m[1mAMP: [0mchecks passed ✅
[34m[1mtrain: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/train/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s][34m[1mtrain: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/train/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s]
[34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s][34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s]
Plotting labels to runs/detect/train19/labels.jpg...
[34m[1moptimizer:[0m 'optimizer=auto' found, ignoring 'lr0=0.028376665942929247' and 'momentum=0.9208374760740288' and determining best 'optimizer', 'lr0' and 'momentum' automatically...
[34m[1moptimizer:[0m AdamW(lr=0.002, momentum=0.9) with parameter groups 77 weight(decay=0.0), 84 weight(decay=0.0007526843849473337), 83 bias(decay=0.0)
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to [1mruns/detect/train19[0m
Starting training for 50 epochs...
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 1/50 6.73G 0.02733 18.04 2.966 347 640: 0%| | 0/1 [00:03<?, ?it/s] 1/50 6.73G 0.02733 18.04 2.966 347 640: 100%|██████████| 1/1 [00:03<00:00, 3.86s/it] 1/50 6.73G 0.02733 18.04 2.966 347 640: 100%|██████████| 1/1 [00:03<00:00, 3.86s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 5.99it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 5.98it/s] all 15 182 0.00711 0.176 0.00432 0.00135
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 2/50 6.8G 0.02744 18.59 2.967 227 640: 0%| | 0/1 [00:00<?, ?it/s] 2/50 6.8G 0.02744 18.59 2.967 227 640: 100%|██████████| 1/1 [00:00<00:00, 4.44it/s] 2/50 6.8G 0.02744 18.59 2.967 227 640: 100%|██████████| 1/1 [00:00<00:00, 4.43it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.16it/s] all 15 182 0.00711 0.176 0.00431 0.00136
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 3/50 6.73G 0.02759 19.29 2.976 268 640: 0%| | 0/1 [00:00<?, ?it/s] 3/50 6.73G 0.02759 19.29 2.976 268 640: 100%|██████████| 1/1 [00:00<00:00, 4.93it/s] 3/50 6.73G 0.02759 19.29 2.976 268 640: 100%|██████████| 1/1 [00:00<00:00, 4.93it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.01it/s] all 15 182 0.00689 0.17 0.00415 0.00143
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 4/50 6.72G 0.0269 18.19 2.983 322 640: 0%| | 0/1 [00:00<?, ?it/s] 4/50 6.72G 0.0269 18.19 2.983 322 640: 100%|██████████| 1/1 [00:00<00:00, 5.04it/s] 4/50 6.72G 0.0269 18.19 2.983 322 640: 100%|██████████| 1/1 [00:00<00:00, 5.04it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.95it/s] all 15 182 0.00689 0.17 0.00413 0.00145
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 5/50 6.73G 0.02736 18.3 2.974 272 640: 0%| | 0/1 [00:00<?, ?it/s] 5/50 6.73G 0.02736 18.3 2.974 272 640: 100%|██████████| 1/1 [00:00<00:00, 4.92it/s] 5/50 6.73G 0.02736 18.3 2.974 272 640: 100%|██████████| 1/1 [00:00<00:00, 4.91it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.53it/s] all 15 182 0.00711 0.176 0.00427 0.00142
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 6/50 6.73G 0.02813 19.52 2.999 239 640: 0%| | 0/1 [00:00<?, ?it/s] 6/50 6.73G 0.02813 19.52 2.999 239 640: 100%|██████████| 1/1 [00:00<00:00, 4.82it/s] 6/50 6.73G 0.02813 19.52 2.999 239 640: 100%|██████████| 1/1 [00:00<00:00, 4.82it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.80it/s] all 15 182 0.00644 0.159 0.00395 0.00127
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 7/50 6.73G 0.02782 19.19 3.018 245 640: 0%| | 0/1 [00:00<?, ?it/s] 7/50 6.73G 0.02782 19.19 3.018 245 640: 100%|██████████| 1/1 [00:00<00:00, 4.81it/s] 7/50 6.73G 0.02782 19.19 3.018 245 640: 100%|██████████| 1/1 [00:00<00:00, 4.81it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.01it/s] all 15 182 0.00667 0.165 0.00409 0.00123
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 8/50 6.72G 0.02721 19.46 2.977 209 640: 0%| | 0/1 [00:00<?, ?it/s] 8/50 6.72G 0.02721 19.46 2.977 209 640: 100%|██████████| 1/1 [00:00<00:00, 3.11it/s] 8/50 6.72G 0.02721 19.46 2.977 209 640: 100%|██████████| 1/1 [00:00<00:00, 3.10it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.62it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.59it/s] all 15 182 0.0336 0.126 0.0162 0.00476
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 9/50 6.92G 0.0276 16.59 2.897 278 640: 0%| | 0/1 [00:00<?, ?it/s] 9/50 6.92G 0.0276 16.59 2.897 278 640: 100%|██████████| 1/1 [00:00<00:00, 4.85it/s] 9/50 6.92G 0.0276 16.59 2.897 278 640: 100%|██████████| 1/1 [00:00<00:00, 4.84it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.21it/s] all 15 182 0.0434 0.137 0.0269 0.00783
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 10/50 6.92G 0.02544 14.58 2.769 243 640: 0%| | 0/1 [00:00<?, ?it/s] 10/50 6.92G 0.02544 14.58 2.769 243 640: 100%|██████████| 1/1 [00:00<00:00, 4.78it/s] 10/50 6.92G 0.02544 14.58 2.769 243 640: 100%|██████████| 1/1 [00:00<00:00, 4.78it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.62it/s] all 15 182 0.0899 0.22 0.0519 0.0132
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 11/50 6.91G 0.02396 14.11 2.783 242 640: 0%| | 0/1 [00:00<?, ?it/s] 11/50 6.91G 0.02396 14.11 2.783 242 640: 100%|██████████| 1/1 [00:00<00:00, 4.66it/s] 11/50 6.91G 0.02396 14.11 2.783 242 640: 100%|██████████| 1/1 [00:00<00:00, 4.66it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.55it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.51it/s] all 15 182 0.12 0.247 0.0873 0.022
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 12/50 6.94G 0.02271 13.33 2.736 278 640: 0%| | 0/1 [00:00<?, ?it/s] 12/50 6.94G 0.02271 13.33 2.736 278 640: 100%|██████████| 1/1 [00:00<00:00, 4.52it/s] 12/50 6.94G 0.02271 13.33 2.736 278 640: 100%|██████████| 1/1 [00:00<00:00, 4.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.50it/s] all 15 182 0.138 0.247 0.0875 0.0234
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 13/50 6.93G 0.02116 12.49 2.622 306 640: 0%| | 0/1 [00:00<?, ?it/s] 13/50 6.93G 0.02116 12.49 2.622 306 640: 100%|██████████| 1/1 [00:00<00:00, 4.68it/s] 13/50 6.93G 0.02116 12.49 2.622 306 640: 100%|██████████| 1/1 [00:00<00:00, 4.68it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.14it/s] all 15 182 0.0541 0.0989 0.0441 0.0133
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 14/50 6.96G 0.0223 12.26 2.638 307 640: 0%| | 0/1 [00:00<?, ?it/s] 14/50 6.96G 0.0223 12.26 2.638 307 640: 100%|██████████| 1/1 [00:00<00:00, 4.65it/s] 14/50 6.96G 0.0223 12.26 2.638 307 640: 100%|██████████| 1/1 [00:00<00:00, 4.64it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.64it/s] all 15 182 0.279 0.516 0.278 0.0697
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 15/50 6.93G 0.02147 11.48 2.612 291 640: 0%| | 0/1 [00:00<?, ?it/s] 15/50 6.93G 0.02147 11.48 2.612 291 640: 100%|██████████| 1/1 [00:00<00:00, 4.63it/s] 15/50 6.93G 0.02147 11.48 2.612 291 640: 100%|██████████| 1/1 [00:00<00:00, 4.62it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.44it/s] all 15 182 0.364 0.495 0.293 0.0733
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 16/50 6.95G 0.02162 11.51 2.586 307 640: 0%| | 0/1 [00:00<?, ?it/s] 16/50 6.95G 0.02162 11.51 2.586 307 640: 100%|██████████| 1/1 [00:00<00:00, 4.78it/s] 16/50 6.95G 0.02162 11.51 2.586 307 640: 100%|██████████| 1/1 [00:00<00:00, 4.78it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.57it/s] all 15 182 0.415 0.505 0.363 0.0968
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 17/50 6.92G 0.02019 11.02 2.551 255 640: 0%| | 0/1 [00:00<?, ?it/s] 17/50 6.92G 0.02019 11.02 2.551 255 640: 100%|██████████| 1/1 [00:00<00:00, 4.84it/s] 17/50 6.92G 0.02019 11.02 2.551 255 640: 100%|██████████| 1/1 [00:00<00:00, 4.84it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.40it/s] all 15 182 0.426 0.516 0.385 0.101
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 18/50 6.92G 0.02081 10.76 2.589 304 640: 0%| | 0/1 [00:00<?, ?it/s] 18/50 6.92G 0.02081 10.76 2.589 304 640: 100%|██████████| 1/1 [00:00<00:00, 4.26it/s] 18/50 6.92G 0.02081 10.76 2.589 304 640: 100%|██████████| 1/1 [00:00<00:00, 4.26it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.69it/s] all 15 182 0.426 0.516 0.385 0.101
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 19/50 6.95G 0.02181 11.41 2.622 261 640: 0%| | 0/1 [00:00<?, ?it/s] 19/50 6.95G 0.02181 11.41 2.622 261 640: 100%|██████████| 1/1 [00:00<00:00, 5.89it/s] 19/50 6.95G 0.02181 11.41 2.622 261 640: 100%|██████████| 1/1 [00:00<00:00, 5.89it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.71it/s] all 15 182 0.452 0.489 0.39 0.106
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 20/50 6.93G 0.0214 10.76 2.56 301 640: 0%| | 0/1 [00:00<?, ?it/s] 20/50 6.93G 0.0214 10.76 2.56 301 640: 100%|██████████| 1/1 [00:00<00:00, 5.32it/s] 20/50 6.93G 0.0214 10.76 2.56 301 640: 100%|██████████| 1/1 [00:00<00:00, 5.31it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.50it/s] all 15 182 0.452 0.489 0.39 0.106
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 21/50 6.98G 0.02049 10.09 2.509 292 640: 0%| | 0/1 [00:00<?, ?it/s] 21/50 6.98G 0.02049 10.09 2.509 292 640: 100%|██████████| 1/1 [00:00<00:00, 4.55it/s] 21/50 6.98G 0.02049 10.09 2.509 292 640: 100%|██████████| 1/1 [00:00<00:00, 4.55it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.27it/s] all 15 182 0.425 0.589 0.411 0.125
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 22/50 6.92G 0.01988 9.817 2.484 295 640: 0%| | 0/1 [00:00<?, ?it/s] 22/50 6.92G 0.01988 9.817 2.484 295 640: 100%|██████████| 1/1 [00:00<00:00, 5.40it/s] 22/50 6.92G 0.01988 9.817 2.484 295 640: 100%|██████████| 1/1 [00:00<00:00, 5.40it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 14.57it/s] all 15 182 0.425 0.589 0.411 0.125
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 23/50 6.95G 0.02026 9.542 2.477 310 640: 0%| | 0/1 [00:00<?, ?it/s] 23/50 6.95G 0.02026 9.542 2.477 310 640: 100%|██████████| 1/1 [00:00<00:00, 2.25it/s] 23/50 6.95G 0.02026 9.542 2.477 310 640: 100%|██████████| 1/1 [00:00<00:00, 2.25it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.85it/s] all 15 182 0.411 0.659 0.428 0.123
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 24/50 6.94G 0.02028 10.06 2.474 290 640: 0%| | 0/1 [00:00<?, ?it/s] 24/50 6.94G 0.02028 10.06 2.474 290 640: 100%|██████████| 1/1 [00:00<00:00, 4.22it/s] 24/50 6.94G 0.02028 10.06 2.474 290 640: 100%|██████████| 1/1 [00:00<00:00, 4.21it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.31it/s] all 15 182 0.411 0.659 0.428 0.123
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 25/50 6.94G 0.01907 9.658 2.348 253 640: 0%| | 0/1 [00:00<?, ?it/s] 25/50 6.94G 0.01907 9.658 2.348 253 640: 100%|██████████| 1/1 [00:00<00:00, 5.56it/s] 25/50 6.94G 0.01907 9.658 2.348 253 640: 100%|██████████| 1/1 [00:00<00:00, 5.55it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 14.84it/s] all 15 182 0.111 0.681 0.1 0.0334
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 26/50 6.93G 0.02017 9.422 2.446 292 640: 0%| | 0/1 [00:00<?, ?it/s] 26/50 6.93G 0.02017 9.422 2.446 292 640: 100%|██████████| 1/1 [00:00<00:00, 5.29it/s] 26/50 6.93G 0.02017 9.422 2.446 292 640: 100%|██████████| 1/1 [00:00<00:00, 5.28it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.52it/s] all 15 182 0.111 0.681 0.1 0.0334
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 27/50 7G 0.01999 9.476 2.432 325 640: 0%| | 0/1 [00:00<?, ?it/s] 27/50 7G 0.01999 9.476 2.432 325 640: 100%|██████████| 1/1 [00:00<00:00, 5.50it/s] 27/50 7G 0.01999 9.476 2.432 325 640: 100%|██████████| 1/1 [00:00<00:00, 5.50it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.13it/s] all 15 182 0.0999 0.78 0.0904 0.0306
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 28/50 6.92G 0.0199 13.11 2.492 229 640: 0%| | 0/1 [00:00<?, ?it/s] 28/50 6.92G 0.0199 13.11 2.492 229 640: 100%|██████████| 1/1 [00:00<00:00, 5.05it/s] 28/50 6.92G 0.0199 13.11 2.492 229 640: 100%|██████████| 1/1 [00:00<00:00, 5.04it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.33it/s] all 15 182 0.0999 0.78 0.0904 0.0306
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 29/50 6.96G 0.02013 11.26 2.538 298 640: 0%| | 0/1 [00:00<?, ?it/s] 29/50 6.96G 0.02013 11.26 2.538 298 640: 100%|██████████| 1/1 [00:00<00:00, 6.04it/s] 29/50 6.96G 0.02013 11.26 2.538 298 640: 100%|██████████| 1/1 [00:00<00:00, 6.03it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.49it/s] all 15 182 0.103 0.78 0.0933 0.0314
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 30/50 6.94G 0.01966 11.07 2.463 261 640: 0%| | 0/1 [00:00<?, ?it/s] 30/50 6.94G 0.01966 11.07 2.463 261 640: 100%|██████████| 1/1 [00:00<00:00, 5.16it/s] 30/50 6.94G 0.01966 11.07 2.463 261 640: 100%|██████████| 1/1 [00:00<00:00, 5.16it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.35it/s] all 15 182 0.103 0.78 0.0933 0.0314
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 31/50 6.94G 0.02007 11.16 2.529 287 640: 0%| | 0/1 [00:00<?, ?it/s] 31/50 6.94G 0.02007 11.16 2.529 287 640: 100%|██████████| 1/1 [00:00<00:00, 4.69it/s] 31/50 6.94G 0.02007 11.16 2.529 287 640: 100%|██████████| 1/1 [00:00<00:00, 4.69it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.00it/s] all 15 182 0.095 0.775 0.0874 0.0307
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 32/50 6.92G 0.01993 9.897 2.487 274 640: 0%| | 0/1 [00:00<?, ?it/s] 32/50 6.92G 0.01993 9.897 2.487 274 640: 100%|██████████| 1/1 [00:00<00:00, 5.43it/s] 32/50 6.92G 0.01993 9.897 2.487 274 640: 100%|██████████| 1/1 [00:00<00:00, 5.42it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.26it/s] all 15 182 0.095 0.775 0.0874 0.0307
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 33/50 6.93G 0.02036 10.51 2.488 249 640: 0%| | 0/1 [00:00<?, ?it/s] 33/50 6.93G 0.02036 10.51 2.488 249 640: 100%|██████████| 1/1 [00:00<00:00, 5.77it/s] 33/50 6.93G 0.02036 10.51 2.488 249 640: 100%|██████████| 1/1 [00:00<00:00, 5.76it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.51it/s] all 15 182 0.0989 0.725 0.0903 0.0307
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 34/50 6.94G 0.01914 10.47 2.463 331 640: 0%| | 0/1 [00:00<?, ?it/s] 34/50 6.94G 0.01914 10.47 2.463 331 640: 100%|██████████| 1/1 [00:00<00:00, 5.39it/s] 34/50 6.94G 0.01914 10.47 2.463 331 640: 100%|██████████| 1/1 [00:00<00:00, 5.38it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.96it/s] all 15 182 0.0989 0.725 0.0903 0.0307
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 35/50 6.95G 0.01975 10.67 2.505 265 640: 0%| | 0/1 [00:00<?, ?it/s] 35/50 6.95G 0.01975 10.67 2.505 265 640: 100%|██████████| 1/1 [00:00<00:00, 5.99it/s] 35/50 6.95G 0.01975 10.67 2.505 265 640: 100%|██████████| 1/1 [00:00<00:00, 5.98it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.60it/s] all 15 182 0.211 0.593 0.18 0.0584
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 36/50 6.92G 0.01835 10.74 2.388 267 640: 0%| | 0/1 [00:00<?, ?it/s] 36/50 6.92G 0.01835 10.74 2.388 267 640: 100%|██████████| 1/1 [00:00<00:00, 4.46it/s] 36/50 6.92G 0.01835 10.74 2.388 267 640: 100%|██████████| 1/1 [00:00<00:00, 4.46it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.59it/s] all 15 182 0.211 0.593 0.18 0.0584
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 37/50 6.96G 0.01846 9.878 2.335 347 640: 0%| | 0/1 [00:00<?, ?it/s] 37/50 6.96G 0.01846 9.878 2.335 347 640: 100%|██████████| 1/1 [00:00<00:00, 6.04it/s] 37/50 6.96G 0.01846 9.878 2.335 347 640: 100%|██████████| 1/1 [00:00<00:00, 6.03it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.46it/s] all 15 182 0.324 0.588 0.369 0.121
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 38/50 6.92G 0.01827 10.21 2.393 230 640: 0%| | 0/1 [00:00<?, ?it/s] 38/50 6.92G 0.01827 10.21 2.393 230 640: 100%|██████████| 1/1 [00:00<00:00, 5.19it/s] 38/50 6.92G 0.01827 10.21 2.393 230 640: 100%|██████████| 1/1 [00:00<00:00, 5.18it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.93it/s] all 15 182 0.324 0.588 0.369 0.121
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 39/50 6.95G 0.01926 10.95 2.483 349 640: 0%| | 0/1 [00:00<?, ?it/s] 39/50 6.95G 0.01926 10.95 2.483 349 640: 100%|██████████| 1/1 [00:00<00:00, 5.86it/s] 39/50 6.95G 0.01926 10.95 2.483 349 640: 100%|██████████| 1/1 [00:00<00:00, 5.85it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.71it/s] all 15 182 0.348 0.582 0.398 0.116
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 40/50 6.93G 0.01939 10.09 2.407 281 640: 0%| | 0/1 [00:00<?, ?it/s] 40/50 6.93G 0.01939 10.09 2.407 281 640: 100%|██████████| 1/1 [00:00<00:00, 5.38it/s] 40/50 6.93G 0.01939 10.09 2.407 281 640: 100%|██████████| 1/1 [00:00<00:00, 5.37it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.17it/s] all 15 182 0.348 0.582 0.398 0.116
Closing dataloader mosaic
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 41/50 6.87G 0.01724 16.61 2.349 67 640: 0%| | 0/1 [00:01<?, ?it/s] 41/50 6.87G 0.01724 16.61 2.349 67 640: 100%|██████████| 1/1 [00:01<00:00, 1.48s/it] 41/50 6.87G 0.01724 16.61 2.349 67 640: 100%|██████████| 1/1 [00:01<00:00, 1.48s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.96it/s] all 15 182 0.343 0.593 0.377 0.103
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 42/50 6.85G 0.01765 13.2 2.36 79 640: 0%| | 0/1 [00:00<?, ?it/s] 42/50 6.85G 0.01765 13.2 2.36 79 640: 100%|██████████| 1/1 [00:00<00:00, 5.38it/s] 42/50 6.85G 0.01765 13.2 2.36 79 640: 100%|██████████| 1/1 [00:00<00:00, 5.38it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.86it/s] all 15 182 0.343 0.593 0.377 0.103
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 43/50 6.87G 0.01791 12.56 2.394 87 640: 0%| | 0/1 [00:00<?, ?it/s] 43/50 6.87G 0.01791 12.56 2.394 87 640: 100%|██████████| 1/1 [00:00<00:00, 6.09it/s] 43/50 6.87G 0.01791 12.56 2.394 87 640: 100%|██████████| 1/1 [00:00<00:00, 6.09it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.21it/s] all 15 182 0.169 0.709 0.155 0.0471
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 44/50 6.86G 0.01649 10.96 2.28 92 640: 0%| | 0/1 [00:00<?, ?it/s] 44/50 6.86G 0.01649 10.96 2.28 92 640: 100%|██████████| 1/1 [00:00<00:00, 5.50it/s] 44/50 6.86G 0.01649 10.96 2.28 92 640: 100%|██████████| 1/1 [00:00<00:00, 5.49it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.23it/s] all 15 182 0.169 0.709 0.155 0.0471
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 45/50 6.86G 0.01645 10.96 2.322 81 640: 0%| | 0/1 [00:00<?, ?it/s] 45/50 6.86G 0.01645 10.96 2.322 81 640: 100%|██████████| 1/1 [00:00<00:00, 6.04it/s] 45/50 6.86G 0.01645 10.96 2.322 81 640: 100%|██████████| 1/1 [00:00<00:00, 6.03it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.81it/s] all 15 182 0.173 0.678 0.159 0.0528
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 46/50 6.86G 0.01683 9.996 2.38 75 640: 0%| | 0/1 [00:00<?, ?it/s] 46/50 6.86G 0.01683 9.996 2.38 75 640: 100%|██████████| 1/1 [00:00<00:00, 5.42it/s] 46/50 6.86G 0.01683 9.996 2.38 75 640: 100%|██████████| 1/1 [00:00<00:00, 5.41it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.96it/s] all 15 182 0.173 0.678 0.159 0.0528
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 47/50 6.87G 0.01689 9.869 2.36 84 640: 0%| | 0/1 [00:00<?, ?it/s] 47/50 6.87G 0.01689 9.869 2.36 84 640: 100%|██████████| 1/1 [00:00<00:00, 6.03it/s] 47/50 6.87G 0.01689 9.869 2.36 84 640: 100%|██████████| 1/1 [00:00<00:00, 6.03it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.30it/s] all 15 182 0.315 0.687 0.321 0.0973
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 48/50 6.87G 0.01805 10.26 2.503 79 640: 0%| | 0/1 [00:00<?, ?it/s] 48/50 6.87G 0.01805 10.26 2.503 79 640: 100%|██████████| 1/1 [00:00<00:00, 5.43it/s] 48/50 6.87G 0.01805 10.26 2.503 79 640: 100%|██████████| 1/1 [00:00<00:00, 5.43it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 14.89it/s] all 15 182 0.315 0.687 0.321 0.0973
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 49/50 6.87G 0.01858 9.732 2.504 84 640: 0%| | 0/1 [00:00<?, ?it/s] 49/50 6.87G 0.01858 9.732 2.504 84 640: 100%|██████████| 1/1 [00:00<00:00, 6.02it/s] 49/50 6.87G 0.01858 9.732 2.504 84 640: 100%|██████████| 1/1 [00:00<00:00, 6.02it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.81it/s] all 15 182 0.328 0.665 0.354 0.105
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 50/50 6.85G 0.01771 9.375 2.42 91 640: 0%| | 0/1 [00:00<?, ?it/s] 50/50 6.85G 0.01771 9.375 2.42 91 640: 100%|██████████| 1/1 [00:00<00:00, 5.50it/s] 50/50 6.85G 0.01771 9.375 2.42 91 640: 100%|██████████| 1/1 [00:00<00:00, 5.49it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.11it/s] all 15 182 0.328 0.665 0.354 0.105
50 epochs completed in 0.015 hours.
Optimizer stripped from runs/detect/train19/weights/last.pt, 52.0MB
Optimizer stripped from runs/detect/train19/weights/best.pt, 52.0MB
Validating runs/detect/train19/weights/best.pt...
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
Model summary (fused): 218 layers, 25840339 parameters, 0 gradients, 78.7 GFLOPs
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.40it/s] all 15 182 0.426 0.592 0.412 0.125
Speed: 0.1ms preprocess, 1.9ms inference, 0.0ms loss, 0.6ms postprocess per image
Results saved to [1mruns/detect/train19[0m
wandb: - 55.651 MB of 55.651 MB uploadedwandb: \ 55.685 MB of 55.730 MB uploaded (0.002 MB deduped)wandb: | 55.685 MB of 55.730 MB uploaded (0.002 MB deduped)wandb: / 55.730 MB of 55.730 MB uploaded (0.002 MB deduped)wandb:
wandb:
wandb: Run history:
wandb: lr/pg0 ▁▁▂▂▃▄▄▄▅▅▆▆▆▆▇▇▇▇█████████████▇▇▇▇▇▆▆▆▅
wandb: lr/pg1 ▁▁▂▂▃▄▄▄▅▅▆▆▆▆▇▇▇▇█████████████▇▇▇▇▇▆▆▆▅
wandb: lr/pg2 ▁▁▂▂▃▄▄▄▅▅▆▆▆▆▇▇▇▇█████████████▇▇▇▇▇▆▆▆▅
wandb: metrics/mAP50(B) ▁▁▁▁▁▁▁▁▂▂▂▆▇▇▇▇████▃▂▂▂▂▂▂▂▄▇▇█▇▇▃▃▄▆▆█
wandb: metrics/mAP50-95(B) ▁▁▁▁▁▁▁▁▂▂▂▅▆▇▇▇████▃▃▃▃▃▃▃▃▄██▇▇▇▄▄▄▆▆█
wandb: metrics/precision(B) ▁▁▁▁▁▁▁▂▃▃▂▅▇█████▇▇▃▂▂▃▂▂▂▂▄▆▆▆▆▆▄▄▄▆▆█
wandb: metrics/recall(B) ▂▂▂▂▂▂▁▁▃▃▁▅▅▅▅▅▆▆▇▇▇█████▇▇▆▆▆▆▆▆▇▇▇▇▇▆
wandb: model/GFLOPs ▁
wandb: model/parameters ▁
wandb: model/speed_PyTorch(ms) ▁
wandb: train/box_loss ███▇██▇█▅▅▄▄▄▃▄▄▃▃▃▃▃▃▃▃▃▃▃▃▂▂▂▃▁▂▂▁▁▁▂▂
wandb: train/cls_loss ▇▇█▇███▆▄▄▃▃▂▂▂▂▁▁▁▁▁▁▄▂▂▁▂▂▂▁▂▂▆▄▃▂▁▁▂▁
wandb: train/dfl_loss ███████▇▆▅▄▄▄▄▄▄▃▃▃▃▃▂▃▃▃▃▃▃▂▂▂▃▂▂▂▁▂▂▃▂
wandb: val/box_loss ██████▇▅▃▃▄▄▄▄▄▃▃▃▃▃▃▂▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb: val/cls_loss ▂▂▂▂▂▂▂▂▂▂▃▂▂▂▂▁▁▁▁▁▆ ▂▁▁▁▁▁██▅▂▂▂
wandb: val/dfl_loss ▄▄▄▄▄▄▃▁▁▁▂▅███▇▆▆▆▆▆▆▆▅▅▅▃▃▃▃▃▃▅▅▆▆▇▇▇▆
wandb:
wandb: Run summary:
wandb: lr/pg0 0.00017
wandb: lr/pg1 0.00017
wandb: lr/pg2 0.00017
wandb: metrics/mAP50(B) 0.41165
wandb: metrics/mAP50-95(B) 0.12546
wandb: metrics/precision(B) 0.42617
wandb: metrics/recall(B) 0.59171
wandb: model/GFLOPs 79.066
wandb: model/parameters 25856899
wandb: model/speed_PyTorch(ms) 8.662
wandb: train/box_loss 0.01771
wandb: train/cls_loss 9.37529
wandb: train/dfl_loss 2.4195
wandb: val/box_loss 0.02051
wandb: val/cls_loss 21.53237
wandb: val/dfl_loss 3.15541
wandb:
wandb: 🚀 View run train19 at: https://wandb.ai/fin-jason20/YOLOv8/runs/s3s611xw
wandb: ️⚡ View job at https://wandb.ai/fin-jason20/YOLOv8/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjE1NTE4Mjc3OQ==/version_details/v7
wandb: Synced 6 W&B file(s), 20 media file(s), 7 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240402_011627-s3s611xw/logs
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
Model summary (fused): 218 layers, 25840339 parameters, 0 gradients, 78.7 GFLOPs
[34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s][34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.57it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.57it/s] all 15 182 0.425 0.592 0.41 0.124
Speed: 0.1ms preprocess, 7.2ms inference, 0.0ms loss, 1.1ms postprocess per image
Results saved to [1mruns/detect/train192[0m
ultralytics.utils.metrics.DetMetrics object with attributes:
ap_class_index: array([0])
box: ultralytics.utils.metrics.Metric object
confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x2acf256db370>
curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']
curves_results: [[array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,
0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,
0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,
0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,
0.096096, 0.097097, 0.098098, 0.099099, 0.1001, 0.1011, 0.1021, 0.1031, 0.1041, 0.10511, 0.10611, 0.10711, 0.10811, 0.10911, 0.11011, 0.11111, 0.11211, 0.11311, 0.11411, 0.11512, 0.11612, 0.11712, 0.11812, 0.11912,
0.12012, 0.12112, 0.12212, 0.12312, 0.12412, 0.12513, 0.12613, 0.12713, 0.12813, 0.12913, 0.13013, 0.13113, 0.13213, 0.13313, 0.13413, 0.13514, 0.13614, 0.13714, 0.13814, 0.13914, 0.14014, 0.14114, 0.14214, 0.14314,
0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,
0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,
0.19219, 0.19319, 0.19419, 0.1952, 0.1962, 0.1972, 0.1982, 0.1992, 0.2002, 0.2012, 0.2022, 0.2032, 0.2042, 0.20521, 0.20621, 0.20721, 0.20821, 0.20921, 0.21021, 0.21121, 0.21221, 0.21321, 0.21421, 0.21522,
0.21622, 0.21722, 0.21822, 0.21922, 0.22022, 0.22122, 0.22222, 0.22322, 0.22422, 0.22523, 0.22623, 0.22723, 0.22823, 0.22923, 0.23023, 0.23123, 0.23223, 0.23323, 0.23423, 0.23524, 0.23624, 0.23724, 0.23824, 0.23924,
0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,
0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,
0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,
0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,
0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,
0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,
0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,
0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,
0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,
0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,
0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,
0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,
0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,
0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,
0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,
0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,
0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,
0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,
0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,
0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,
0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,
0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,
0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,
0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,
0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,
0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,
0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,
0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,
0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,
0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,
0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,
0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.62162,
0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162,
0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162,
0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162,
0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162,
0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.62162, 0.58537, 0.58537, 0.58537, 0.58537, 0.58537, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427,
0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427,
0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427,
0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427,
0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427,
0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427,
0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427,
0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.58427, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311,
0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.56311, 0.5514, 0.5514, 0.5514,
0.5514, 0.5514, 0.52137, 0.52137, 0.52137, 0.52137, 0.52137, 0.52137, 0.52137, 0.52137, 0.52137, 0.52137, 0.52137, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587,
0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51587, 0.51145, 0.51145, 0.51145, 0.51145, 0.51145, 0.51145, 0.51145, 0.51145, 0.51145, 0.51145, 0.51145,
0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50725, 0.50704, 0.50704, 0.50704, 0.50704, 0.50704, 0.50704,
0.50704, 0.50704, 0.50704, 0.50704, 0.50704, 0.4966, 0.4966, 0.4966, 0.4966, 0.4966, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765,
0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48765, 0.48193, 0.48193, 0.48193,
0.48193, 0.48193, 0.48193, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895,
0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895,
0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47895, 0.47179, 0.47179, 0.47179, 0.47179, 0.47179, 0.46269,
0.46269, 0.46269, 0.46269, 0.46269, 0.46269, 0.46078, 0.46078, 0.46078, 0.46078, 0.46078, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205,
0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45205, 0.45133, 0.45133, 0.45133, 0.45133, 0.45133, 0.45133, 0.45133, 0.45133,
0.45133, 0.45133, 0.45133, 0.45133, 0.45133, 0.45133, 0.45133, 0.45133, 0.44828, 0.44828, 0.44828, 0.44828, 0.44828, 0.44828, 0.44828, 0.44828, 0.44828, 0.44828, 0.44828, 0.44304, 0.44304, 0.44304, 0.44304,
0.44304, 0.44304, 0.43983, 0.43983, 0.43983, 0.43983, 0.43983, 0.43145, 0.43145, 0.43145, 0.43145, 0.43145, 0.43145, 0.42745, 0.42745, 0.42745, 0.42745, 0.42745, 0.42745, 0.42745, 0.42745, 0.42745, 0.42745,
0.42745, 0.42529, 0.42529, 0.42529, 0.42529, 0.42529, 0.42529, 0.42529, 0.42529, 0.42529, 0.42529, 0.42529, 0.42424, 0.42424, 0.42424, 0.42424, 0.42424, 0.40647, 0.40647, 0.40647, 0.40647, 0.40647, 0.40647,
0.40569, 0.40569, 0.40569, 0.40569, 0.40569, 0.3959, 0.3959, 0.3959, 0.3959, 0.3959, 0.3959, 0.3959, 0.3959, 0.3959, 0.3959, 0.3959, 0.38312, 0.38312, 0.38312, 0.38312, 0.38312, 0.38312, 0.38312,
0.38312, 0.38312, 0.38312, 0.38312, 0.37898, 0.37898, 0.37898, 0.37898, 0.37898, 0.37898, 0.37461, 0.37461, 0.37461, 0.37461, 0.37461, 0.37461, 0.37461, 0.37461, 0.37461, 0.37461, 0.37461, 0.37082, 0.37082,
0.37082, 0.37082, 0.37082, 0.36283, 0.36283, 0.36283, 0.36283, 0.36283, 0.36283, 0.35632, 0.35632, 0.35632, 0.35632, 0.35632, 0.35613, 0.35613, 0.35613, 0.35613, 0.35613, 0.35613, 0.35196, 0.35196, 0.35196,
0.35196, 0.35196, 0.34048, 0.34048, 0.34048, 0.34048, 0.34048, 0.34048, 0.33596, 0.33596, 0.33596, 0.33596, 0.33596, 0.32741, 0.32741, 0.32741, 0.32741, 0.32741, 0.32741, 0.32178, 0.32178, 0.32178, 0.32178,
0.32178, 0.31566, 0.31566, 0.31566, 0.31566, 0.31566, 0.31566, 0.31206, 0.31206, 0.31206, 0.31206, 0.31206, 0.30645, 0.30645, 0.30645, 0.30645, 0.30645, 0.30645, 0.30594, 0.30594, 0.30594, 0.30594, 0.30594,
0.3029, 0.3029, 0.3029, 0.3029, 0.3029, 0.3029, 0.3029, 0.3029, 0.3029, 0.3029, 0.3029, 0.29025, 0.29025, 0.29025, 0.29025, 0.29025, 0.27767, 0.27767, 0.27767, 0.27767, 0.27767, 0.27767, 0.2699,
0.2699, 0.2699, 0.2699, 0.2699, 0.2518, 0.2518, 0.2518, 0.2518, 0.2518, 0.2518, 0.22779, 0.22779, 0.22779, 0.22779, 0.22779, 0.22222, 0.22222, 0.22222, 0.22222, 0.22222, 0.22222, 0.2128, 0.2128,
0.2128, 0.2128, 0.2128, 0.20426, 0.20426, 0.20426, 0.20426, 0.20426, 0.20426, 0.20308, 0.20308, 0.20308, 0.20308, 0.20308, 0.19756, 0.19756, 0.19756, 0.19756, 0.19756, 0.19756, 0.17861, 0.17861, 0.17861,
0.17861, 0.17861, 0.1709, 0.1709, 0.1709, 0.1709, 0.1709, 0.1709, 0.16284, 0.16284, 0.16284, 0.16284, 0.16284, 0.15544, 0.15544, 0.15544, 0.15544, 0.15544, 0.15544, 0.14547, 0.14547, 0.14547, 0.14547,
0.14547, 0.13645, 0.13645, 0.13645, 0.13645, 0.13645, 0.13645, 0.12541, 0.12541, 0.12541, 0.12541, 0.12541, 0.12012, 0.12012, 0.12012, 0.12012, 0.12012, 0.12012, 0.11796, 0.11796, 0.11796, 0.11796, 0.11796,
0.11791, 0.11791, 0.11791, 0.11791, 0.11791, 0.11791, 0.096437, 0.096437, 0.096437, 0.096437, 0.096437, 0.090752, 0.090752, 0.090752, 0.090752, 0.090752, 0.090752, 0.08853, 0.08853, 0.08853, 0.08853, 0.08853, 0.087767,
0.087767, 0.087767, 0.087767, 0.087767, 0.087767, 0.083942, 0.083942, 0.083942, 0.083942, 0.083942, 0.072711, 0.072711, 0.072711, 0.072711, 0.072711, 0.072711, 0.063922, 0.063922, 0.063922, 0.063922, 0.063922, 0.056299, 0.056299,
0.056299, 0.056299, 0.056299, 0.056299, 0.044898, 0.044898, 0.044898, 0.044898, 0.044898, 0.036544, 0.036151, 0.035758, 0.035365, 0.034972, 0.034579, 0.034186, 0.033793, 0.0334, 0.033007, 0.032614, 0.032221, 0.031828, 0.031435,
0.031042, 0.030649, 0.030257, 0.029864, 0.029471, 0.029078, 0.028685, 0.028292, 0.027899, 0.027506, 0.027113, 0.02672, 0.026327, 0.025934, 0.025541, 0.025148, 0.024755, 0.024362, 0.023969, 0.023577, 0.023184, 0.022791, 0.022398,
0.022005, 0.021612, 0.021219, 0.020826, 0.020433, 0.02004, 0.019647, 0.019254, 0.018861, 0.018468, 0.018075, 0.017682, 0.017289, 0.016897, 0.016504, 0.016111, 0.015718, 0.015325, 0.014932, 0.014539, 0.014146, 0.013753, 0.01336,
0.012967, 0.012574, 0.012181, 0.011788, 0.011395, 0.011002, 0.010609, 0.010216, 0.0098235, 0.0094306, 0.0090377, 0.0086447, 0.0082518, 0.0078588, 0.0074659, 0.007073, 0.00668, 0.0062871, 0.0058941, 0.0055012, 0.0051082, 0.0047153, 0.0043224,
0.0039294, 0.0035365, 0.0031435, 0.0027506, 0.0023577, 0.0019647, 0.0015718, 0.0011788, 0.00078588, 0.00039294, 0]]), 'Recall', 'Precision'], [array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,
0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,
0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,
0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,
0.096096, 0.097097, 0.098098, 0.099099, 0.1001, 0.1011, 0.1021, 0.1031, 0.1041, 0.10511, 0.10611, 0.10711, 0.10811, 0.10911, 0.11011, 0.11111, 0.11211, 0.11311, 0.11411, 0.11512, 0.11612, 0.11712, 0.11812, 0.11912,
0.12012, 0.12112, 0.12212, 0.12312, 0.12412, 0.12513, 0.12613, 0.12713, 0.12813, 0.12913, 0.13013, 0.13113, 0.13213, 0.13313, 0.13413, 0.13514, 0.13614, 0.13714, 0.13814, 0.13914, 0.14014, 0.14114, 0.14214, 0.14314,
0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,
0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,
0.19219, 0.19319, 0.19419, 0.1952, 0.1962, 0.1972, 0.1982, 0.1992, 0.2002, 0.2012, 0.2022, 0.2032, 0.2042, 0.20521, 0.20621, 0.20721, 0.20821, 0.20921, 0.21021, 0.21121, 0.21221, 0.21321, 0.21421, 0.21522,
0.21622, 0.21722, 0.21822, 0.21922, 0.22022, 0.22122, 0.22222, 0.22322, 0.22422, 0.22523, 0.22623, 0.22723, 0.22823, 0.22923, 0.23023, 0.23123, 0.23223, 0.23323, 0.23423, 0.23524, 0.23624, 0.23724, 0.23824, 0.23924,
0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,
0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,
0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,
0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,
0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,
0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,
0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,
0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,
0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,
0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,
0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,
0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,
0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,
0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,
0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,
0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,
0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,
0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,
0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,
0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,
0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,
0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,
0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,
0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,
0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,
0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,
0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,
0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,
0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,
0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,
0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,
0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 0.070483, 0.070483, 0.070483, 0.070483, 0.070923, 0.071515, 0.071941, 0.073272, 0.075231, 0.076801, 0.078059, 0.079196, 0.080273, 0.081088, 0.081875, 0.082398, 0.082724, 0.083034, 0.08346, 0.083914, 0.08424, 0.08475, 0.085328,
0.086601, 0.08771, 0.089181, 0.090992, 0.092375, 0.094147, 0.095332, 0.096808, 0.098572, 0.10046, 0.10238, 0.10458, 0.10577, 0.10734, 0.1094, 0.11088, 0.11263, 0.11419, 0.11638, 0.11797, 0.11911, 0.12076, 0.12245,
0.1245, 0.12596, 0.12752, 0.12888, 0.13058, 0.1324, 0.13401, 0.13457, 0.13621, 0.13768, 0.13914, 0.14082, 0.14198, 0.14371, 0.14551, 0.14693, 0.14829, 0.14956, 0.1505, 0.15217, 0.1525, 0.15379, 0.15526,
0.15725, 0.15887, 0.15925, 0.16063, 0.16106, 0.16215, 0.16283, 0.16369, 0.16421, 0.16594, 0.16733, 0.16826, 0.16995, 0.17131, 0.1724, 0.17253, 0.1736, 0.17515, 0.1767, 0.17834, 0.17956, 0.18084, 0.18284,
0.18432, 0.18522, 0.18719, 0.18824, 0.1892, 0.1906, 0.19128, 0.19263, 0.19325, 0.19461, 0.19598, 0.1974, 0.19842, 0.19947, 0.20061, 0.20163, 0.20288, 0.20367, 0.20523, 0.20661, 0.20712, 0.20658, 0.20776,
0.20896, 0.21001, 0.20936, 0.21038, 0.21149, 0.21287, 0.21493, 0.21605, 0.21723, 0.21786, 0.21789, 0.21906, 0.21975, 0.22088, 0.22152, 0.22283, 0.22463, 0.22562, 0.22656, 0.2274, 0.22788, 0.22896, 0.23111,
0.23228, 0.23352, 0.23445, 0.23394, 0.23468, 0.23568, 0.23649, 0.23775, 0.23893, 0.23961, 0.24087, 0.24246, 0.24442, 0.24545, 0.24695, 0.24633, 0.247, 0.24814, 0.24969, 0.25123, 0.2528, 0.25355, 0.25435,
0.25627, 0.25657, 0.25733, 0.25758, 0.25832, 0.26042, 0.26093, 0.26065, 0.26096, 0.2631, 0.26359, 0.26449, 0.2652, 0.26569, 0.26626, 0.26707, 0.26801, 0.26821, 0.26928, 0.27038, 0.27098, 0.27137, 0.27244,
0.27298, 0.27374, 0.27442, 0.27585, 0.27739, 0.27785, 0.27854, 0.27959, 0.28026, 0.28159, 0.2819, 0.28154, 0.28259, 0.28504, 0.28631, 0.28748, 0.28887, 0.28997, 0.29133, 0.2923, 0.29241, 0.29146, 0.29202,
0.29281, 0.29391, 0.29477, 0.29539, 0.29592, 0.29616, 0.29684, 0.29811, 0.2988, 0.29932, 0.29968, 0.30045, 0.30084, 0.30108, 0.30183, 0.30337, 0.30426, 0.30476, 0.30524, 0.30664, 0.30782, 0.30894, 0.31101,
0.31196, 0.31227, 0.31251, 0.31321, 0.31453, 0.31581, 0.3165, 0.31571, 0.31619, 0.31701, 0.31714, 0.31727, 0.31838, 0.31883, 0.31942, 0.31967, 0.32048, 0.32077, 0.32277, 0.32189, 0.32206, 0.32296, 0.3235,
0.32461, 0.32302, 0.32351, 0.32429, 0.32518, 0.32579, 0.32596, 0.32621, 0.32739, 0.32824, 0.32897, 0.33018, 0.3318, 0.33192, 0.33204, 0.33216, 0.33279, 0.3337, 0.33466, 0.33346, 0.33451, 0.33533, 0.33593,
0.33717, 0.33813, 0.33973, 0.34012, 0.34042, 0.34087, 0.342, 0.34231, 0.34248, 0.34302, 0.34348, 0.34381, 0.3451, 0.34474, 0.34503, 0.34539, 0.34614, 0.34724, 0.34808, 0.34875, 0.35, 0.35081, 0.35165,
0.35181, 0.35197, 0.35068, 0.35172, 0.35251, 0.3534, 0.35526, 0.35678, 0.3576, 0.35785, 0.35817, 0.35929, 0.35975, 0.36097, 0.36181, 0.3627, 0.36296, 0.3634, 0.36438, 0.36539, 0.36566, 0.36581, 0.36596,
0.36639, 0.36707, 0.36726, 0.36745, 0.36905, 0.36959, 0.37057, 0.37221, 0.37345, 0.37399, 0.37432, 0.37516, 0.37556, 0.376, 0.37659, 0.37731, 0.37793, 0.37819, 0.37844, 0.37871, 0.37933, 0.37735, 0.37755,
0.37795, 0.37892, 0.37923, 0.37952, 0.37997, 0.38105, 0.38137, 0.38179, 0.38308, 0.38412, 0.38496, 0.38551, 0.38594, 0.38669, 0.38684, 0.38699, 0.38714, 0.38843, 0.3888, 0.38963, 0.39046, 0.39067, 0.39089,
0.39173, 0.39221, 0.39276, 0.39297, 0.39319, 0.39366, 0.39388, 0.39403, 0.39417, 0.39431, 0.39518, 0.39585, 0.39699, 0.39755, 0.39796, 0.39831, 0.39875, 0.39792, 0.39834, 0.39851, 0.39867, 0.39883, 0.39916,
0.39962, 0.40027, 0.40089, 0.4014, 0.40184, 0.4024, 0.40263, 0.40286, 0.40521, 0.40647, 0.40542, 0.40438, 0.40491, 0.40595, 0.40618, 0.40642, 0.40673, 0.40711, 0.40741, 0.40771, 0.40912, 0.4102, 0.41038,
0.41055, 0.41073, 0.41237, 0.41409, 0.415, 0.41641, 0.41713, 0.41762, 0.41876, 0.41673, 0.41702, 0.41732, 0.41763, 0.41851, 0.4191, 0.42103, 0.42155, 0.42273, 0.42339, 0.424, 0.42545, 0.42788, 0.42944,
0.42989, 0.43013, 0.43038, 0.43062, 0.43086, 0.4293, 0.42918, 0.42814, 0.42939, 0.43117, 0.43167, 0.43183, 0.432, 0.43217, 0.42993, 0.43073, 0.43111, 0.4295, 0.4302, 0.43059, 0.43132, 0.43291, 0.43384,
0.4345, 0.43482, 0.43526, 0.43571, 0.436, 0.4363, 0.43594, 0.4354, 0.43485, 0.43431, 0.43382, 0.43588, 0.43631, 0.43741, 0.43785, 0.4385, 0.43671, 0.43794, 0.43843, 0.43888, 0.43935, 0.43984, 0.44069,
0.44091, 0.44114, 0.44137, 0.44173, 0.44214, 0.44309, 0.44339, 0.44368, 0.44152, 0.44215, 0.44326, 0.44494, 0.44522, 0.44549, 0.44645, 0.44695, 0.44763, 0.44702, 0.44642, 0.44581, 0.44523, 0.44627, 0.44786,
0.44879, 0.44994, 0.45007, 0.45021, 0.45034, 0.45048, 0.45061, 0.45079, 0.45106, 0.45132, 0.4524, 0.45274, 0.45308, 0.45403, 0.45417, 0.45431, 0.45445, 0.45459, 0.45196, 0.45224, 0.45251, 0.45301, 0.45397,
0.45458, 0.45583, 0.4572, 0.45498, 0.45559, 0.45591, 0.45617, 0.45642, 0.45779, 0.45987, 0.46042, 0.46112, 0.46173, 0.46209, 0.46252, 0.46328, 0.46496, 0.46514, 0.46533, 0.46551, 0.46569, 0.46622, 0.46595,
0.46467, 0.4644, 0.46494, 0.46525, 0.46555, 0.46588, 0.46622, 0.46651, 0.46674, 0.46697, 0.4672, 0.46745, 0.4677, 0.46795, 0.46827, 0.46895, 0.46768, 0.4655, 0.46538, 0.46582, 0.46714, 0.46781, 0.46866,
0.46883, 0.46901, 0.46919, 0.46937, 0.46986, 0.47108, 0.46972, 0.47173, 0.47236, 0.47281, 0.47345, 0.47394, 0.47424, 0.47455, 0.47491, 0.47532, 0.47572, 0.4761, 0.47647, 0.47524, 0.47553, 0.47576, 0.47598,
0.47621, 0.47646, 0.47678, 0.4771, 0.47763, 0.47834, 0.47855, 0.47877, 0.47898, 0.4792, 0.47606, 0.47547, 0.47488, 0.47429, 0.4737, 0.47319, 0.47346, 0.47374, 0.47402, 0.47425, 0.47445, 0.47466, 0.47486,
0.47515, 0.47621, 0.47682, 0.47729, 0.47771, 0.47777, 0.47747, 0.478, 0.47841, 0.47878, 0.47904, 0.47931, 0.47957, 0.48075, 0.48113, 0.48152, 0.48059, 0.47909, 0.478, 0.47715, 0.47631, 0.47546, 0.47617,
0.47757, 0.47794, 0.47832, 0.47984, 0.48058, 0.48091, 0.48125, 0.48243, 0.48269, 0.48295, 0.48321, 0.48344, 0.48365, 0.48386, 0.48407, 0.48428, 0.48498, 0.4855, 0.48575, 0.486, 0.48625, 0.48676, 0.48747,
0.48788, 0.48829, 0.48802, 0.48744, 0.48685, 0.48627, 0.48569, 0.48485, 0.48314, 0.48212, 0.48238, 0.48264, 0.4829, 0.48326, 0.48378, 0.48442, 0.48535, 0.48626, 0.48653, 0.48679, 0.48706, 0.48935, 0.48962,
0.48989, 0.49016, 0.49107, 0.4922, 0.49196, 0.49131, 0.49067, 0.49002, 0.48937, 0.48981, 0.4905, 0.491, 0.4887, 0.48885, 0.48975, 0.49035, 0.49071, 0.49106, 0.49145, 0.49187, 0.49228, 0.49325, 0.49423,
0.49507, 0.49581, 0.49647, 0.49753, 0.49826, 0.49885, 0.49979, 0.50057, 0.50142, 0.4998, 0.49912, 0.49939, 0.49966, 0.49993, 0.50029, 0.50069, 0.50108, 0.50038, 0.49952, 0.49867, 0.49782, 0.49702, 0.49561,
0.49622, 0.49683, 0.49745, 0.4983, 0.49709, 0.49589, 0.4946, 0.49325, 0.49199, 0.49297, 0.49355, 0.49407, 0.49508, 0.4955, 0.49567, 0.49585, 0.49602, 0.49619, 0.49636, 0.49661, 0.49746, 0.49613, 0.49423,
0.49554, 0.49725, 0.49828, 0.49909, 0.49992, 0.50049, 0.50103, 0.49764, 0.49948, 0.4978, 0.49837, 0.49985, 0.50221, 0.49949, 0.49874, 0.4968, 0.49802, 0.49866, 0.49975, 0.49643, 0.49724, 0.49637, 0.49454,
0.49147, 0.49253, 0.49303, 0.49352, 0.49323, 0.49219, 0.49115, 0.49011, 0.49019, 0.4904, 0.49061, 0.49082, 0.49103, 0.49106, 0.4876, 0.4876, 0.48777, 0.48794, 0.48811, 0.48828, 0.48845, 0.48861, 0.48632,
0.48567, 0.48536, 0.48436, 0.48336, 0.48236, 0.48175, 0.4812, 0.48065, 0.4801, 0.47954, 0.47899, 0.47844, 0.47882, 0.47934, 0.48094, 0.48118, 0.48142, 0.48166, 0.4819, 0.4823, 0.48301, 0.48399, 0.48499,
0.48596, 0.48502, 0.48317, 0.48336, 0.48355, 0.48373, 0.48392, 0.4841, 0.48429, 0.48468, 0.48523, 0.48525, 0.4837, 0.48216, 0.4822, 0.48299, 0.48442, 0.48514, 0.48585, 0.48658, 0.48762, 0.48601, 0.48439,
0.48449, 0.48506, 0.48604, 0.488, 0.48823, 0.48686, 0.48549, 0.4843, 0.48317, 0.48203, 0.48078, 0.47886, 0.47699, 0.47842, 0.47971, 0.48007, 0.48043, 0.48079, 0.47589, 0.47474, 0.47359, 0.47244, 0.47128,
0.47013, 0.46897, 0.46872, 0.46678, 0.46721, 0.46763, 0.46895, 0.46719, 0.46543, 0.46292, 0.46103, 0.46225, 0.46281, 0.46302, 0.46133, 0.45964, 0.45954, 0.45595, 0.45641, 0.45687, 0.45742, 0.45809, 0.45933,
0.45838, 0.45659, 0.45548, 0.45597, 0.45645, 0.45725, 0.45589, 0.45145, 0.45246, 0.45054, 0.44862, 0.44448, 0.4452, 0.44544, 0.44569, 0.44594, 0.44619, 0.44634, 0.44411, 0.44188, 0.4421, 0.44039, 0.43869,
0.43979, 0.4403, 0.44081, 0.44165, 0.44338, 0.44145, 0.43951, 0.43949, 0.44012, 0.4413, 0.44273, 0.43699, 0.42881, 0.42593, 0.4238, 0.42347, 0.42424, 0.42453, 0.42483, 0.42513, 0.42551, 0.42731, 0.419,
0.42194, 0.41945, 0.41168, 0.40543, 0.40358, 0.40497, 0.40708, 0.40626, 0.40118, 0.39897, 0.39808, 0.40305, 0.4045, 0.40495, 0.40539, 0.40691, 0.40806, 0.40296, 0.40357, 0.40417, 0.40685, 0.39933, 0.38878,
0.38065, 0.37616, 0.37751, 0.38053, 0.36823, 0.36764, 0.36831, 0.3645, 0.35662, 0.35234, 0.33689, 0.32734, 0.32801, 0.31812, 0.30952, 0.30235, 0.29965, 0.29064, 0.28569, 0.26323, 0.25141, 0.24258, 0.23154,
0.21788, 0.22028, 0.2212, 0.20717, 0.1614, 0.15103, 0.09994, 0.068783, 0.04245, 0.013854, 0]]), 'Confidence', 'F1'], [array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,
0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,
0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,
0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,
0.096096, 0.097097, 0.098098, 0.099099, 0.1001, 0.1011, 0.1021, 0.1031, 0.1041, 0.10511, 0.10611, 0.10711, 0.10811, 0.10911, 0.11011, 0.11111, 0.11211, 0.11311, 0.11411, 0.11512, 0.11612, 0.11712, 0.11812, 0.11912,
0.12012, 0.12112, 0.12212, 0.12312, 0.12412, 0.12513, 0.12613, 0.12713, 0.12813, 0.12913, 0.13013, 0.13113, 0.13213, 0.13313, 0.13413, 0.13514, 0.13614, 0.13714, 0.13814, 0.13914, 0.14014, 0.14114, 0.14214, 0.14314,
0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,
0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,
0.19219, 0.19319, 0.19419, 0.1952, 0.1962, 0.1972, 0.1982, 0.1992, 0.2002, 0.2012, 0.2022, 0.2032, 0.2042, 0.20521, 0.20621, 0.20721, 0.20821, 0.20921, 0.21021, 0.21121, 0.21221, 0.21321, 0.21421, 0.21522,
0.21622, 0.21722, 0.21822, 0.21922, 0.22022, 0.22122, 0.22222, 0.22322, 0.22422, 0.22523, 0.22623, 0.22723, 0.22823, 0.22923, 0.23023, 0.23123, 0.23223, 0.23323, 0.23423, 0.23524, 0.23624, 0.23724, 0.23824, 0.23924,
0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,
0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,
0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,
0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,
0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,
0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,
0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,
0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,
0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,
0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,
0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,
0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,
0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,
0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,
0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,
0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,
0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,
0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,
0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,
0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,
0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,
0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,
0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,
0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,
0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,
0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,
0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,
0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,
0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,
0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,
0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,
0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 0.036667, 0.036667, 0.036667, 0.036667, 0.036905, 0.037226, 0.037456, 0.038179, 0.039244, 0.040099, 0.040785, 0.041407, 0.041996, 0.042442, 0.042873, 0.043161, 0.043339, 0.04351, 0.043744, 0.043993, 0.044172, 0.044453, 0.044785,
0.045486, 0.046099, 0.046912, 0.047915, 0.048683, 0.049668, 0.050328, 0.051152, 0.052138, 0.053195, 0.054271, 0.05551, 0.056201, 0.057089, 0.058258, 0.059101, 0.060096, 0.060985, 0.062232, 0.063142, 0.063824, 0.064774, 0.065749,
0.06693, 0.067775, 0.068681, 0.069468, 0.070459, 0.071516, 0.072461, 0.072826, 0.073788, 0.07465, 0.07551, 0.076501, 0.077182, 0.078209, 0.079277, 0.08012, 0.08093, 0.081685, 0.082245, 0.083247, 0.083494, 0.084268, 0.08515,
0.086346, 0.087323, 0.08761, 0.088449, 0.088766, 0.089426, 0.089841, 0.090362, 0.090744, 0.0918, 0.092649, 0.093219, 0.09426, 0.095098, 0.09577, 0.095919, 0.096583, 0.097538, 0.098505, 0.099523, 0.10029, 0.10108, 0.10233,
0.10326, 0.10383, 0.10507, 0.10573, 0.10634, 0.10722, 0.10765, 0.10851, 0.1089, 0.10977, 0.11064, 0.11154, 0.1122, 0.11287, 0.1136, 0.11425, 0.11505, 0.11557, 0.11657, 0.11746, 0.11789, 0.11765, 0.11842,
0.1192, 0.11988, 0.11957, 0.12023, 0.12096, 0.12186, 0.12322, 0.12395, 0.12473, 0.12515, 0.12529, 0.12606, 0.12652, 0.12727, 0.1277, 0.12857, 0.12977, 0.13043, 0.13106, 0.13162, 0.13194, 0.13267, 0.13411,
0.1349, 0.13574, 0.13636, 0.13617, 0.13667, 0.13735, 0.1379, 0.13876, 0.13956, 0.14002, 0.14088, 0.14197, 0.14332, 0.14403, 0.14506, 0.14481, 0.14527, 0.14606, 0.14713, 0.1482, 0.14929, 0.14982, 0.15038,
0.15173, 0.15193, 0.15247, 0.15265, 0.15316, 0.15464, 0.155, 0.15492, 0.15522, 0.15674, 0.15708, 0.15773, 0.15823, 0.15858, 0.15898, 0.15956, 0.16024, 0.16038, 0.16114, 0.16193, 0.16245, 0.16286, 0.16363,
0.16402, 0.16457, 0.16506, 0.1661, 0.16722, 0.16755, 0.16805, 0.16882, 0.1693, 0.17027, 0.17059, 0.17048, 0.17126, 0.17305, 0.17399, 0.17486, 0.17589, 0.17671, 0.17771, 0.17844, 0.17854, 0.17808, 0.1785,
0.17909, 0.17992, 0.18056, 0.18102, 0.18142, 0.1816, 0.18212, 0.18307, 0.18359, 0.18399, 0.18425, 0.18484, 0.18513, 0.18531, 0.18588, 0.18705, 0.18773, 0.18811, 0.18848, 0.18955, 0.19045, 0.19131, 0.1929,
0.19363, 0.19387, 0.19405, 0.19459, 0.19562, 0.19661, 0.19714, 0.19686, 0.19723, 0.19787, 0.19797, 0.19807, 0.19894, 0.19929, 0.19976, 0.19995, 0.20058, 0.20081, 0.20238, 0.20205, 0.20218, 0.20288, 0.20332,
0.20419, 0.2033, 0.20369, 0.2043, 0.20501, 0.2055, 0.20564, 0.20584, 0.20677, 0.20745, 0.20804, 0.209, 0.2103, 0.2104, 0.2105, 0.21059, 0.2111, 0.21184, 0.21261, 0.21205, 0.2129, 0.21356, 0.21404,
0.21505, 0.21584, 0.21714, 0.21745, 0.2177, 0.21807, 0.219, 0.21926, 0.21939, 0.21983, 0.22021, 0.22049, 0.22155, 0.22151, 0.22194, 0.22223, 0.22286, 0.22377, 0.22446, 0.22502, 0.22607, 0.22674, 0.22744,
0.22758, 0.22771, 0.2271, 0.22798, 0.22864, 0.22939, 0.23097, 0.23225, 0.23295, 0.23316, 0.23343, 0.23439, 0.23478, 0.23581, 0.23653, 0.2373, 0.23751, 0.23789, 0.23873, 0.23961, 0.23984, 0.23996, 0.24009,
0.24046, 0.24105, 0.24121, 0.24137, 0.24275, 0.24322, 0.24408, 0.2455, 0.24658, 0.24705, 0.24734, 0.24807, 0.24842, 0.24881, 0.24933, 0.24996, 0.2505, 0.25073, 0.25095, 0.25119, 0.25173, 0.25058, 0.25076,
0.2511, 0.25196, 0.25224, 0.2525, 0.25289, 0.25386, 0.25413, 0.25451, 0.25566, 0.25658, 0.25734, 0.25783, 0.25821, 0.25889, 0.25902, 0.25915, 0.25929, 0.26045, 0.26078, 0.26153, 0.26228, 0.26247, 0.26266,
0.26342, 0.26385, 0.26435, 0.26455, 0.26475, 0.26517, 0.26537, 0.2655, 0.26563, 0.26576, 0.26655, 0.26716, 0.2682, 0.26871, 0.26908, 0.2694, 0.26981, 0.26974, 0.27013, 0.27028, 0.27042, 0.27057, 0.27088,
0.2713, 0.2719, 0.27248, 0.27295, 0.27335, 0.27387, 0.27409, 0.2743, 0.27648, 0.27766, 0.27701, 0.27637, 0.27694, 0.27791, 0.27813, 0.27835, 0.27864, 0.279, 0.27929, 0.27957, 0.28089, 0.28191, 0.28208,
0.28224, 0.28241, 0.28397, 0.2856, 0.28646, 0.28782, 0.2885, 0.28897, 0.29006, 0.28893, 0.28921, 0.2895, 0.2898, 0.29064, 0.29122, 0.29308, 0.29359, 0.29474, 0.29537, 0.29596, 0.29739, 0.29976, 0.3013,
0.30174, 0.30198, 0.30222, 0.30246, 0.3027, 0.3018, 0.30194, 0.30183, 0.30307, 0.30485, 0.30534, 0.30551, 0.30568, 0.30584, 0.30447, 0.30536, 0.30574, 0.30499, 0.30579, 0.30619, 0.30693, 0.30854, 0.30948,
0.31015, 0.31048, 0.31093, 0.31139, 0.31169, 0.31199, 0.31179, 0.31145, 0.31111, 0.31076, 0.31047, 0.31259, 0.31303, 0.31416, 0.31461, 0.31529, 0.3145, 0.31577, 0.31628, 0.31675, 0.31724, 0.31775, 0.31864,
0.31888, 0.31911, 0.31935, 0.31973, 0.32016, 0.32116, 0.32147, 0.32178, 0.32041, 0.32128, 0.32246, 0.32424, 0.32453, 0.32482, 0.32585, 0.32638, 0.32723, 0.32684, 0.32646, 0.32608, 0.32572, 0.32683, 0.32853,
0.32954, 0.33078, 0.33092, 0.33107, 0.33121, 0.33136, 0.33151, 0.3317, 0.33199, 0.33228, 0.33345, 0.33382, 0.33419, 0.33522, 0.33538, 0.33553, 0.33568, 0.33583, 0.33422, 0.33451, 0.33481, 0.33537, 0.33641,
0.33708, 0.33846, 0.34019, 0.33883, 0.33951, 0.33986, 0.34015, 0.34043, 0.34195, 0.34427, 0.3449, 0.34569, 0.34637, 0.34677, 0.34726, 0.34811, 0.35001, 0.35022, 0.35043, 0.35064, 0.35085, 0.35144, 0.3515,
0.35068, 0.3508, 0.35142, 0.35177, 0.35211, 0.3525, 0.35288, 0.35321, 0.35348, 0.35374, 0.35401, 0.35429, 0.35458, 0.35487, 0.35523, 0.35602, 0.35616, 0.35477, 0.35487, 0.35539, 0.35693, 0.35771, 0.3587,
0.35891, 0.35912, 0.35933, 0.35954, 0.36011, 0.36213, 0.36152, 0.36391, 0.36466, 0.36521, 0.36596, 0.36655, 0.36691, 0.36728, 0.36771, 0.3682, 0.36868, 0.36913, 0.36959, 0.36937, 0.37014, 0.37041, 0.37069,
0.37096, 0.37126, 0.37165, 0.37204, 0.37269, 0.37355, 0.37381, 0.37408, 0.37434, 0.3746, 0.37259, 0.37221, 0.37183, 0.37145, 0.37106, 0.37075, 0.37109, 0.37143, 0.37177, 0.37205, 0.3723, 0.37256, 0.37281,
0.37316, 0.37447, 0.37523, 0.37581, 0.37633, 0.37765, 0.37788, 0.37854, 0.37905, 0.37952, 0.37985, 0.38018, 0.38051, 0.382, 0.38249, 0.38297, 0.38244, 0.38147, 0.38077, 0.38022, 0.37967, 0.37912, 0.38005,
0.38183, 0.38232, 0.3828, 0.38475, 0.3857, 0.38613, 0.38657, 0.3881, 0.38843, 0.38876, 0.3891, 0.3894, 0.38967, 0.38994, 0.39022, 0.39049, 0.3914, 0.39208, 0.39241, 0.39273, 0.39306, 0.39373, 0.39466,
0.3952, 0.39574, 0.39564, 0.39527, 0.39489, 0.39451, 0.39413, 0.39359, 0.39247, 0.39187, 0.39222, 0.39256, 0.3929, 0.39338, 0.39406, 0.39492, 0.39616, 0.39737, 0.39773, 0.39809, 0.39844, 0.40151, 0.40188,
0.40224, 0.40261, 0.40383, 0.40536, 0.40538, 0.40496, 0.40454, 0.40412, 0.4037, 0.40443, 0.40538, 0.40606, 0.40478, 0.40547, 0.40672, 0.40755, 0.40804, 0.40853, 0.40907, 0.40964, 0.41022, 0.41157, 0.41294,
0.4141, 0.41514, 0.41607, 0.41757, 0.41859, 0.41943, 0.42076, 0.42187, 0.42307, 0.42266, 0.4224, 0.42279, 0.42318, 0.42356, 0.42409, 0.42465, 0.42522, 0.4248, 0.42424, 0.42369, 0.42313, 0.4235, 0.4227,
0.4236, 0.42449, 0.42539, 0.42709, 0.4263, 0.42551, 0.42466, 0.42378, 0.42298, 0.42444, 0.42529, 0.42607, 0.42757, 0.4282, 0.42845, 0.42871, 0.42897, 0.42923, 0.42949, 0.42985, 0.43113, 0.43044, 0.42924,
0.43122, 0.43382, 0.43538, 0.43662, 0.43789, 0.43877, 0.4396, 0.43751, 0.44191, 0.44098, 0.44188, 0.44421, 0.44796, 0.447, 0.44699, 0.44571, 0.44812, 0.44915, 0.45116, 0.44908, 0.45041, 0.45012, 0.4489,
0.44822, 0.44999, 0.45082, 0.45165, 0.4517, 0.451, 0.45031, 0.44961, 0.44986, 0.45021, 0.45057, 0.45092, 0.45128, 0.4515, 0.44919, 0.44935, 0.44964, 0.44992, 0.45021, 0.4505, 0.45079, 0.45108, 0.44959,
0.45, 0.45022, 0.44955, 0.44887, 0.4482, 0.44779, 0.44741, 0.44704, 0.44667, 0.44629, 0.44592, 0.44554, 0.44628, 0.44718, 0.44997, 0.45039, 0.45081, 0.45123, 0.45165, 0.45237, 0.45361, 0.45535, 0.45711,
0.45884, 0.45942, 0.45823, 0.45856, 0.4589, 0.45924, 0.45957, 0.45991, 0.46024, 0.46094, 0.46194, 0.46242, 0.46137, 0.46033, 0.46096, 0.4624, 0.46503, 0.46635, 0.46768, 0.46902, 0.4715, 0.4704, 0.46931,
0.46991, 0.47099, 0.47283, 0.47656, 0.47826, 0.47733, 0.4764, 0.47559, 0.47482, 0.47405, 0.4732, 0.47188, 0.47063, 0.47342, 0.47597, 0.47668, 0.47738, 0.47809, 0.47485, 0.47405, 0.47326, 0.47247, 0.47167,
0.47086, 0.47006, 0.4716, 0.47215, 0.47302, 0.47389, 0.47704, 0.47582, 0.47459, 0.47283, 0.47201, 0.47458, 0.47575, 0.47656, 0.47537, 0.47419, 0.475, 0.4736, 0.4746, 0.4756, 0.47679, 0.47825, 0.48097,
0.48095, 0.47967, 0.47911, 0.48019, 0.48127, 0.48304, 0.48524, 0.4839, 0.487, 0.48562, 0.48425, 0.48239, 0.48409, 0.48468, 0.48527, 0.48586, 0.48645, 0.48695, 0.48534, 0.48372, 0.4861, 0.48486, 0.48362,
0.48675, 0.488, 0.48926, 0.49131, 0.49632, 0.49491, 0.4935, 0.49434, 0.49593, 0.49893, 0.50259, 0.50587, 0.50084, 0.49869, 0.49711, 0.49839, 0.50052, 0.50135, 0.50217, 0.503, 0.50407, 0.50915, 0.50679,
0.51547, 0.51389, 0.508, 0.50629, 0.5071, 0.51149, 0.51829, 0.52, 0.51606, 0.51434, 0.51564, 0.53265, 0.53773, 0.53932, 0.5409, 0.54634, 0.55051, 0.54785, 0.5501, 0.55235, 0.56246, 0.55721, 0.54898,
0.54697, 0.55041, 0.5562, 0.56955, 0.57743, 0.57944, 0.5828, 0.58014, 0.57958, 0.576, 0.5689, 0.56288, 0.56688, 0.55846, 0.55044, 0.54782, 0.55461, 0.54774, 0.55541, 0.53983, 0.52955, 0.53331, 0.52708,
0.52651, 0.55578, 0.56773, 0.61793, 0.5513, 0.58891, 0.50236, 0.48969, 0.61946, 1, 1]]), 'Confidence', 'Precision'], [array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,
0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,
0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,
0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,
0.096096, 0.097097, 0.098098, 0.099099, 0.1001, 0.1011, 0.1021, 0.1031, 0.1041, 0.10511, 0.10611, 0.10711, 0.10811, 0.10911, 0.11011, 0.11111, 0.11211, 0.11311, 0.11411, 0.11512, 0.11612, 0.11712, 0.11812, 0.11912,
0.12012, 0.12112, 0.12212, 0.12312, 0.12412, 0.12513, 0.12613, 0.12713, 0.12813, 0.12913, 0.13013, 0.13113, 0.13213, 0.13313, 0.13413, 0.13514, 0.13614, 0.13714, 0.13814, 0.13914, 0.14014, 0.14114, 0.14214, 0.14314,
0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,
0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,
0.19219, 0.19319, 0.19419, 0.1952, 0.1962, 0.1972, 0.1982, 0.1992, 0.2002, 0.2012, 0.2022, 0.2032, 0.2042, 0.20521, 0.20621, 0.20721, 0.20821, 0.20921, 0.21021, 0.21121, 0.21221, 0.21321, 0.21421, 0.21522,
0.21622, 0.21722, 0.21822, 0.21922, 0.22022, 0.22122, 0.22222, 0.22322, 0.22422, 0.22523, 0.22623, 0.22723, 0.22823, 0.22923, 0.23023, 0.23123, 0.23223, 0.23323, 0.23423, 0.23524, 0.23624, 0.23724, 0.23824, 0.23924,
0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,
0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,
0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,
0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,
0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,
0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,
0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,
0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,
0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,
0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,
0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,
0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,
0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,
0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,
0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,
0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,
0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,
0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,
0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,
0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,
0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,
0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,
0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,
0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,
0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,
0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,
0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,
0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,
0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,
0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,
0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,
0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.90659, 0.9011,
0.9011, 0.9011, 0.9011, 0.9011, 0.9011, 0.9011, 0.9011, 0.9011, 0.9011, 0.9011, 0.9011, 0.9011, 0.8956, 0.8956, 0.8956, 0.8956, 0.8956, 0.8956, 0.8956, 0.8956, 0.89011, 0.89011, 0.89011,
0.89011, 0.89011, 0.89011, 0.89011, 0.89011, 0.89011, 0.89011, 0.88462, 0.88462, 0.88462, 0.88462, 0.88462, 0.88462, 0.88462, 0.88462, 0.88462, 0.88462, 0.88462, 0.88462, 0.88462, 0.87912, 0.87912, 0.87912,
0.87912, 0.87912, 0.87363, 0.87363, 0.86813, 0.86813, 0.86813, 0.86813, 0.86264, 0.86264, 0.86264, 0.86264, 0.86264, 0.86264, 0.86264, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714,
0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85165, 0.84615, 0.84615,
0.84615, 0.84615, 0.84066, 0.84066, 0.84066, 0.84066, 0.84066, 0.84066, 0.84066, 0.84066, 0.83516, 0.83516, 0.83516, 0.83516, 0.83516, 0.83516, 0.83516, 0.83516, 0.83516, 0.83516, 0.83516, 0.83516, 0.83516,
0.83516, 0.83516, 0.83516, 0.82967, 0.82967, 0.82967, 0.82967, 0.82967, 0.82967, 0.82967, 0.82967, 0.82967, 0.82967, 0.82967, 0.82967, 0.82418, 0.82418, 0.82418, 0.82418, 0.82418, 0.82418, 0.82418, 0.82418,
0.82418, 0.82418, 0.82418, 0.82418, 0.82418, 0.82418, 0.82418, 0.82089, 0.81868, 0.81868, 0.81868, 0.81868, 0.81868, 0.81868, 0.81868, 0.81868, 0.81868, 0.81868, 0.81868, 0.81868, 0.81634, 0.81319, 0.81319,
0.81319, 0.81319, 0.81319, 0.81319, 0.81319, 0.81319, 0.81319, 0.81319, 0.81319, 0.81319, 0.81138, 0.80769, 0.80769, 0.80769, 0.80769, 0.80769, 0.80769, 0.80769, 0.80769, 0.80769, 0.80729, 0.8022, 0.8022,
0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022,
0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.8022, 0.7967, 0.7967, 0.7967, 0.7967, 0.7967, 0.7967, 0.7967, 0.7967, 0.7967, 0.7967, 0.7967, 0.7967, 0.79121, 0.79121, 0.79121, 0.79121,
0.79121, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78571, 0.78022, 0.78022, 0.78022, 0.78022,
0.78022, 0.78022, 0.78022, 0.78022, 0.78022, 0.78022, 0.78022, 0.78022, 0.78022, 0.78022, 0.78022, 0.78022, 0.78022, 0.777, 0.77473, 0.77473, 0.77473, 0.77473, 0.77473, 0.77473, 0.77473, 0.77473, 0.77473,
0.77473, 0.77473, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923,
0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76923, 0.76374, 0.76374,
0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374,
0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824,
0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75821, 0.75577, 0.75334, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275,
0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725,
0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74337, 0.74176, 0.73626, 0.73626, 0.73626, 0.73626, 0.73626, 0.73626, 0.73626, 0.7312, 0.73077, 0.73077, 0.72577, 0.72527, 0.72527, 0.72527, 0.72527, 0.72527,
0.72527, 0.72527, 0.72527, 0.72527, 0.72527, 0.72527, 0.72438, 0.72323, 0.72207, 0.72091, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71429, 0.71429, 0.71429, 0.71429, 0.71429, 0.71429, 0.71429,
0.71429, 0.71429, 0.71429, 0.71429, 0.71429, 0.71429, 0.71429, 0.71429, 0.70982, 0.70879, 0.70879, 0.70879, 0.70879, 0.70879, 0.70879, 0.70879, 0.7082, 0.70697, 0.70574, 0.70451, 0.7033, 0.7033, 0.7033,
0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.7033, 0.6978, 0.6978, 0.6978, 0.6978, 0.6978,
0.6978, 0.6978, 0.6969, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69231, 0.69093,
0.68846, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68085, 0.67672, 0.67582, 0.67582, 0.67582, 0.67582, 0.67582,
0.67582, 0.67582, 0.67582, 0.67582, 0.67582, 0.67379, 0.67033, 0.67033, 0.67033, 0.67033, 0.67033, 0.67033, 0.67033, 0.67033, 0.67033, 0.67033, 0.67033, 0.67033, 0.67033, 0.66618, 0.66484, 0.66484, 0.66484,
0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.65911, 0.65804, 0.65697, 0.6559, 0.65482, 0.65385, 0.65385, 0.65385, 0.65385, 0.65385, 0.65385, 0.65385, 0.65385,
0.65385, 0.65385, 0.65385, 0.65385, 0.65385, 0.65015, 0.64835, 0.64835, 0.64835, 0.64835, 0.64835, 0.64835, 0.64835, 0.64835, 0.64835, 0.64835, 0.6465, 0.64385, 0.64193, 0.64043, 0.63894, 0.63745, 0.63736,
0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736, 0.63736,
0.63736, 0.63736, 0.63667, 0.63567, 0.63466, 0.63366, 0.63265, 0.63122, 0.62828, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637, 0.62637,
0.62637, 0.62637, 0.62637, 0.62637, 0.62556, 0.62447, 0.62338, 0.6223, 0.62121, 0.62088, 0.62088, 0.62088, 0.61652, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538,
0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.61538, 0.6114, 0.60989, 0.60989, 0.60989, 0.60989, 0.60989, 0.60989, 0.60989, 0.60867, 0.60729, 0.60591, 0.60453, 0.60142, 0.5989,
0.5989, 0.5989, 0.5989, 0.59801, 0.59609, 0.59416, 0.59211, 0.58997, 0.58791, 0.58791, 0.58791, 0.58791, 0.58791, 0.58791, 0.58791, 0.58791, 0.58791, 0.58791, 0.58791, 0.58791, 0.58791, 0.5855, 0.58242,
0.58242, 0.58242, 0.58242, 0.58242, 0.58242, 0.58242, 0.58242, 0.57694, 0.5743, 0.57143, 0.57143, 0.57143, 0.57143, 0.56593, 0.56404, 0.56111, 0.56044, 0.56044, 0.56007, 0.55495, 0.55495, 0.55322, 0.55051,
0.54396, 0.54396, 0.54396, 0.54396, 0.54318, 0.54166, 0.54014, 0.53862, 0.53846, 0.53846, 0.53846, 0.53846, 0.53846, 0.53821, 0.53321, 0.53297, 0.53297, 0.53297, 0.53297, 0.53297, 0.53297, 0.53297, 0.5296,
0.52747, 0.52645, 0.52502, 0.52359, 0.52216, 0.5213, 0.52051, 0.51972, 0.51894, 0.51815, 0.51737, 0.51658, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648,
0.51648, 0.51365, 0.51099, 0.51099, 0.51099, 0.51099, 0.51099, 0.51099, 0.51099, 0.51099, 0.51099, 0.51045, 0.50831, 0.50616, 0.50549, 0.50549, 0.50549, 0.50549, 0.50549, 0.50549, 0.50489, 0.50268, 0.50047,
0.5, 0.5, 0.5, 0.5, 0.49862, 0.49677, 0.49492, 0.49333, 0.49181, 0.49029, 0.4886, 0.48604, 0.48352, 0.48352, 0.48352, 0.48352, 0.48352, 0.48352, 0.47695, 0.47544, 0.47392, 0.47241, 0.4709,
0.46939, 0.46788, 0.46588, 0.46154, 0.46154, 0.46154, 0.46112, 0.45886, 0.45661, 0.4534, 0.45055, 0.45055, 0.45055, 0.45022, 0.44809, 0.44596, 0.44505, 0.43956, 0.43956, 0.43956, 0.43956, 0.43956, 0.43956,
0.43784, 0.43562, 0.43407, 0.43407, 0.43407, 0.43407, 0.42989, 0.42308, 0.4225, 0.42018, 0.41787, 0.41209, 0.41209, 0.41209, 0.41209, 0.41209, 0.41209, 0.41199, 0.40934, 0.40669, 0.4054, 0.40339, 0.40139,
0.4011, 0.4011, 0.4011, 0.4011, 0.40065, 0.39841, 0.39617, 0.3956, 0.3956, 0.3956, 0.3956, 0.38462, 0.37489, 0.37169, 0.36934, 0.36813, 0.36813, 0.36813, 0.36813, 0.36813, 0.36813, 0.36813, 0.35714,
0.35714, 0.35433, 0.34606, 0.33808, 0.33516, 0.33516, 0.33516, 0.33334, 0.32813, 0.32587, 0.32418, 0.32418, 0.32418, 0.32418, 0.32418, 0.32418, 0.32418, 0.31868, 0.31868, 0.31868, 0.31868, 0.31116, 0.30096,
0.29189, 0.28571, 0.28571, 0.28571, 0.2703, 0.26923, 0.26923, 0.26573, 0.25754, 0.25379, 0.2393, 0.23077, 0.23077, 0.2224, 0.21529, 0.20879, 0.20528, 0.1978, 0.19231, 0.17405, 0.16484, 0.157, 0.14835,
0.13736, 0.13736, 0.13736, 0.12444, 0.094539, 0.08662, 0.055489, 0.036989, 0.021978, 0.0069754, 0]]), 'Confidence', 'Recall']]
fitness: 0.1529985835284725
keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']
maps: array([ 0.1244])
names: {0: 'microglia'}
plot: True
results_dict: {'metrics/precision(B)': 0.4246608865763909, 'metrics/recall(B)': 0.5921104129599589, 'metrics/mAP50(B)': 0.4104079244663572, 'metrics/mAP50-95(B)': 0.12439754564648531, 'fitness': 0.1529985835284725}
save_dir: PosixPath('runs/detect/train192')
speed: {'preprocess': 0.08104642232259114, 'inference': 7.182248433430989, 'loss': 0.0004609425862630208, 'postprocess': 1.060628890991211}
task: 'detect'