-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathslurm-5240250.out
1036 lines (824 loc) · 162 KB
/
slurm-5240250.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=yolov8l.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=train18, 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=0.0457062519243008, lrf=0.5663712023377039, momentum=0.6327742617642996, weight_decay=6.166620902381104e-05, warmup_epochs=4.878789147112398, warmup_momentum=0.04276814261982326, warmup_bias_lr=0.1, box=0.04989975382889546, cls=2.3027697025412017, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.031059843647556373, hsv_s=0.4041773048236358, hsv_v=0.16220761497433805, degrees=25.35054803870161, translate=0.25712122763417733, scale=0.8272286697430656, shear=1.166441802143383, perspective=0.0006911341517838568, flipud=0.889382976606186, fliplr=0.33237334622611636, mosaic=0.8938025866004808, mixup=0.06452683160904249, copy_paste=0.024551758053997896, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train18
Overriding model.yaml nc=80 with nc=1
from n params module arguments
0 -1 1 1856 ultralytics.nn.modules.conv.Conv [3, 64, 3, 2]
1 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2]
2 -1 3 279808 ultralytics.nn.modules.block.C2f [128, 128, 3, True]
3 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2]
4 -1 6 2101248 ultralytics.nn.modules.block.C2f [256, 256, 6, True]
5 -1 1 1180672 ultralytics.nn.modules.conv.Conv [256, 512, 3, 2]
6 -1 6 8396800 ultralytics.nn.modules.block.C2f [512, 512, 6, True]
7 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2]
8 -1 3 4461568 ultralytics.nn.modules.block.C2f [512, 512, 3, True]
9 -1 1 656896 ultralytics.nn.modules.block.SPPF [512, 512, 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 3 4723712 ultralytics.nn.modules.block.C2f [1024, 512, 3]
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 3 1247744 ultralytics.nn.modules.block.C2f [768, 256, 3]
16 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2]
17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
18 -1 3 4592640 ultralytics.nn.modules.block.C2f [768, 512, 3]
19 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2]
20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 3 4723712 ultralytics.nn.modules.block.C2f [1024, 512, 3]
22 [15, 18, 21] 1 5583571 ultralytics.nn.modules.head.Detect [1, [256, 512, 512]]
Model summary: 365 layers, 43630611 parameters, 43630595 gradients, 165.4 GFLOPs
Transferred 589/595 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_011347-6plkb3wy
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run train18
wandb: ⭐️ View project at https://wandb.ai/fin-jason20/YOLOv8
wandb: 🚀 View run at https://wandb.ai/fin-jason20/YOLOv8/runs/6plkb3wy
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/train18/labels.jpg...
[34m[1moptimizer:[0m 'optimizer=auto' found, ignoring 'lr0=0.0457062519243008' and 'momentum=0.6327742617642996' and determining best 'optimizer', 'lr0' and 'momentum' automatically...
[34m[1moptimizer:[0m AdamW(lr=0.002, momentum=0.9) with parameter groups 97 weight(decay=0.0), 104 weight(decay=6.166620902381104e-05), 103 bias(decay=0.0)
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to [1mruns/detect/train18[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 9.84G 0.02209 15.83 2.878 324 640: 0%| | 0/1 [00:04<?, ?it/s] 1/50 9.84G 0.02209 15.83 2.878 324 640: 100%|██████████| 1/1 [00:04<00:00, 4.12s/it] 1/50 9.84G 0.02209 15.83 2.878 324 640: 100%|██████████| 1/1 [00:04<00:00, 4.12s/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, 4.18it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 4.18it/s] all 15 182 0.00756 0.187 0.00463 0.00102
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 2/50 9.92G 0.02115 15.07 2.964 263 640: 0%| | 0/1 [00:00<?, ?it/s] 2/50 9.92G 0.02115 15.07 2.964 263 640: 100%|██████████| 1/1 [00:00<00:00, 3.61it/s] 2/50 9.92G 0.02115 15.07 2.964 263 640: 100%|██████████| 1/1 [00:00<00:00, 3.61it/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, 8.16it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.14it/s] all 15 182 0.00711 0.176 0.00436 0.000947
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 3/50 9.82G 0.0196 15.55 2.799 168 640: 0%| | 0/1 [00:00<?, ?it/s] 3/50 9.82G 0.0196 15.55 2.799 168 640: 100%|██████████| 1/1 [00:00<00:00, 3.09it/s] 3/50 9.82G 0.0196 15.55 2.799 168 640: 100%|██████████| 1/1 [00:00<00:00, 3.09it/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, 9.36it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.33it/s] all 15 182 0.00733 0.181 0.00449 0.000966
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 4/50 9.75G 0.02229 16.23 2.787 176 640: 0%| | 0/1 [00:00<?, ?it/s] 4/50 9.75G 0.02229 16.23 2.787 176 640: 100%|██████████| 1/1 [00:00<00:00, 3.69it/s] 4/50 9.75G 0.02229 16.23 2.787 176 640: 100%|██████████| 1/1 [00:00<00:00, 3.69it/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, 10.59it/s] all 15 182 0.00667 0.165 0.00406 0.000943
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 5/50 9.73G 0.02332 16.93 2.929 186 640: 0%| | 0/1 [00:00<?, ?it/s] 5/50 9.73G 0.02332 16.93 2.929 186 640: 100%|██████████| 1/1 [00:00<00:00, 3.75it/s] 5/50 9.73G 0.02332 16.93 2.929 186 640: 100%|██████████| 1/1 [00:00<00:00, 3.75it/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, 10.43it/s] all 15 182 0.00689 0.17 0.00409 0.000928
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 6/50 9.74G 0.02363 16.09 2.859 297 640: 0%| | 0/1 [00:00<?, ?it/s] 6/50 9.74G 0.02363 16.09 2.859 297 640: 100%|██████████| 1/1 [00:00<00:00, 3.68it/s] 6/50 9.74G 0.02363 16.09 2.859 297 640: 100%|██████████| 1/1 [00:00<00:00, 3.68it/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, 10.53it/s] all 15 182 0.00778 0.192 0.00476 0.00104
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 7/50 9.78G 0.02072 15.98 2.995 154 640: 0%| | 0/1 [00:00<?, ?it/s] 7/50 9.78G 0.02072 15.98 2.995 154 640: 100%|██████████| 1/1 [00:00<00:00, 2.98it/s] 7/50 9.78G 0.02072 15.98 2.995 154 640: 100%|██████████| 1/1 [00:00<00:00, 2.98it/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, 10.54it/s] all 15 182 0.0344 0.104 0.0206 0.00586
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 8/50 10.2G 0.02131 14.71 2.725 251 640: 0%| | 0/1 [00:00<?, ?it/s] 8/50 10.2G 0.02131 14.71 2.725 251 640: 100%|██████████| 1/1 [00:00<00:00, 3.72it/s] 8/50 10.2G 0.02131 14.71 2.725 251 640: 100%|██████████| 1/1 [00:00<00:00, 3.72it/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, 10.61it/s] all 15 182 0.033 0.121 0.0207 0.00571
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 9/50 10.2G 0.02095 13.96 2.668 307 640: 0%| | 0/1 [00:00<?, ?it/s] 9/50 10.2G 0.02095 13.96 2.668 307 640: 100%|██████████| 1/1 [00:00<00:00, 3.79it/s] 9/50 10.2G 0.02095 13.96 2.668 307 640: 100%|██████████| 1/1 [00:00<00:00, 3.79it/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 0.0298 0.137 0.0208 0.00579
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 10/50 10.2G 0.0207 15.64 2.657 203 640: 0%| | 0/1 [00:00<?, ?it/s] 10/50 10.2G 0.0207 15.64 2.657 203 640: 100%|██████████| 1/1 [00:00<00:00, 2.98it/s] 10/50 10.2G 0.0207 15.64 2.657 203 640: 100%|██████████| 1/1 [00:00<00:00, 2.98it/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, 10.07it/s] all 15 182 0.0353 0.11 0.0274 0.00653
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 11/50 10G 0.02018 16.27 2.657 146 640: 0%| | 0/1 [00:00<?, ?it/s] 11/50 10G 0.02018 16.27 2.657 146 640: 100%|██████████| 1/1 [00:00<00:00, 3.56it/s] 11/50 10G 0.02018 16.27 2.657 146 640: 100%|██████████| 1/1 [00:00<00:00, 3.56it/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, 8.43it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.40it/s] all 15 182 0.0453 0.0495 0.022 0.0061
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 12/50 10.2G 0.01948 16.38 2.489 203 640: 0%| | 0/1 [00:00<?, ?it/s] 12/50 10.2G 0.01948 16.38 2.489 203 640: 100%|██████████| 1/1 [00:00<00:00, 3.53it/s] 12/50 10.2G 0.01948 16.38 2.489 203 640: 100%|██████████| 1/1 [00:00<00:00, 3.53it/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, 12.78it/s] all 15 182 0.0068 0.165 0.00393 0.000773
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 13/50 10.1G 0.01929 15.09 2.494 216 640: 0%| | 0/1 [00:00<?, ?it/s] 13/50 10.1G 0.01929 15.09 2.494 216 640: 100%|██████████| 1/1 [00:00<00:00, 3.68it/s] 13/50 10.1G 0.01929 15.09 2.494 216 640: 100%|██████████| 1/1 [00:00<00:00, 3.68it/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, 14.00it/s] all 15 182 0.01 0.247 0.00626 0.00151
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 14/50 10.2G 0.02069 15.3 2.559 200 640: 0%| | 0/1 [00:00<?, ?it/s] 14/50 10.2G 0.02069 15.3 2.559 200 640: 100%|██████████| 1/1 [00:00<00:00, 2.97it/s] 14/50 10.2G 0.02069 15.3 2.559 200 640: 100%|██████████| 1/1 [00:00<00:00, 2.97it/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, 14.19it/s] all 15 182 0.00971 0.0659 0.00494 0.00141
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 15/50 10.1G 0.01835 12.89 2.369 168 640: 0%| | 0/1 [00:00<?, ?it/s] 15/50 10.1G 0.01835 12.89 2.369 168 640: 100%|██████████| 1/1 [00:00<00:00, 3.72it/s] 15/50 10.1G 0.01835 12.89 2.369 168 640: 100%|██████████| 1/1 [00:00<00:00, 3.72it/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, 12.82it/s] all 15 182 0.00812 0.159 0.00469 0.0013
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 16/50 10.2G 0.01802 15.19 2.201 237 640: 0%| | 0/1 [00:00<?, ?it/s] 16/50 10.2G 0.01802 15.19 2.201 237 640: 100%|██████████| 1/1 [00:00<00:00, 3.74it/s] 16/50 10.2G 0.01802 15.19 2.201 237 640: 100%|██████████| 1/1 [00:00<00:00, 3.74it/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, 12.78it/s] all 15 182 0.0158 0.319 0.0105 0.00248
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 17/50 10.2G 0.01736 16.73 2.15 231 640: 0%| | 0/1 [00:00<?, ?it/s] 17/50 10.2G 0.01736 16.73 2.15 231 640: 100%|██████████| 1/1 [00:00<00:00, 3.66it/s] 17/50 10.2G 0.01736 16.73 2.15 231 640: 100%|██████████| 1/1 [00:00<00:00, 3.66it/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, 12.31it/s] all 15 182 0.0185 0.374 0.0127 0.0027
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 18/50 10.2G 0.01699 14.7 2.166 243 640: 0%| | 0/1 [00:00<?, ?it/s] 18/50 10.2G 0.01699 14.7 2.166 243 640: 100%|██████████| 1/1 [00:00<00:00, 3.89it/s] 18/50 10.2G 0.01699 14.7 2.166 243 640: 100%|██████████| 1/1 [00:00<00:00, 3.88it/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, 12.31it/s] all 15 182 0.0185 0.374 0.0127 0.0027
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 19/50 10.2G 0.01724 14.68 2.207 273 640: 0%| | 0/1 [00:00<?, ?it/s] 19/50 10.2G 0.01724 14.68 2.207 273 640: 100%|██████████| 1/1 [00:00<00:00, 4.53it/s] 19/50 10.2G 0.01724 14.68 2.207 273 640: 100%|██████████| 1/1 [00:00<00:00, 4.53it/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, 11.24it/s] all 15 182 0.0304 0.451 0.0219 0.00537
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 20/50 10.2G 0.01729 14.29 2.428 185 640: 0%| | 0/1 [00:00<?, ?it/s] 20/50 10.2G 0.01729 14.29 2.428 185 640: 100%|██████████| 1/1 [00:00<00:00, 4.03it/s] 20/50 10.2G 0.01729 14.29 2.428 185 640: 100%|██████████| 1/1 [00:00<00:00, 4.03it/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, 11.75it/s] all 15 182 0.0304 0.451 0.0219 0.00537
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 21/50 10.2G 0.01733 14.98 2.276 171 640: 0%| | 0/1 [00:00<?, ?it/s] 21/50 10.2G 0.01733 14.98 2.276 171 640: 100%|██████████| 1/1 [00:00<00:00, 4.15it/s] 21/50 10.2G 0.01733 14.98 2.276 171 640: 100%|██████████| 1/1 [00:00<00:00, 4.15it/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, 12.98it/s] all 15 182 0.00916 0.209 0.00588 0.00176
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 22/50 10.2G 0.01712 12.32 2.204 270 640: 0%| | 0/1 [00:00<?, ?it/s] 22/50 10.2G 0.01712 12.32 2.204 270 640: 100%|██████████| 1/1 [00:00<00:00, 3.97it/s] 22/50 10.2G 0.01712 12.32 2.204 270 640: 100%|██████████| 1/1 [00:00<00:00, 3.97it/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, 13.20it/s] all 15 182 0.00916 0.209 0.00588 0.00176
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 23/50 10.2G 0.01892 13.21 2.408 219 640: 0%| | 0/1 [00:00<?, ?it/s] 23/50 10.2G 0.01892 13.21 2.408 219 640: 100%|██████████| 1/1 [00:00<00:00, 4.12it/s] 23/50 10.2G 0.01892 13.21 2.408 219 640: 100%|██████████| 1/1 [00:00<00:00, 4.11it/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, 12.86it/s] all 15 182 0.00578 0.143 0.00358 0.00106
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 24/50 10.1G 0.01657 10.99 2.417 196 640: 0%| | 0/1 [00:00<?, ?it/s] 24/50 10.1G 0.01657 10.99 2.417 196 640: 100%|██████████| 1/1 [00:00<00:00, 3.94it/s] 24/50 10.1G 0.01657 10.99 2.417 196 640: 100%|██████████| 1/1 [00:00<00:00, 3.94it/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, 12.56it/s] all 15 182 0.00578 0.143 0.00358 0.00106
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 25/50 10.3G 0.01608 10.6 2.275 221 640: 0%| | 0/1 [00:00<?, ?it/s] 25/50 10.3G 0.01608 10.6 2.275 221 640: 100%|██████████| 1/1 [00:00<00:00, 2.69it/s] 25/50 10.3G 0.01608 10.6 2.275 221 640: 100%|██████████| 1/1 [00:00<00:00, 2.69it/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, 13.13it/s] all 15 182 0.0211 0.0989 0.00856 0.00218
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 26/50 10.1G 0.01691 11.11 2.409 276 640: 0%| | 0/1 [00:00<?, ?it/s] 26/50 10.1G 0.01691 11.11 2.409 276 640: 100%|██████████| 1/1 [00:00<00:00, 4.05it/s] 26/50 10.1G 0.01691 11.11 2.409 276 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/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, 13.16it/s] all 15 182 0.0211 0.0989 0.00856 0.00218
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 27/50 10.1G 0.0162 13.16 2.454 160 640: 0%| | 0/1 [00:00<?, ?it/s] 27/50 10.1G 0.0162 13.16 2.454 160 640: 100%|██████████| 1/1 [00:00<00:00, 4.18it/s] 27/50 10.1G 0.0162 13.16 2.454 160 640: 100%|██████████| 1/1 [00:00<00:00, 4.17it/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, 13.34it/s] all 15 182 0.0283 0.264 0.0162 0.00602
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 28/50 10.2G 0.01694 11.14 2.187 256 640: 0%| | 0/1 [00:00<?, ?it/s] 28/50 10.2G 0.01694 11.14 2.187 256 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/s] 28/50 10.2G 0.01694 11.14 2.187 256 640: 100%|██████████| 1/1 [00:00<00:00, 4.03it/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, 13.30it/s] all 15 182 0.0283 0.264 0.0162 0.00602
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 29/50 10.2G 0.01679 11.74 2.325 145 640: 0%| | 0/1 [00:00<?, ?it/s] 29/50 10.2G 0.01679 11.74 2.325 145 640: 100%|██████████| 1/1 [00:00<00:00, 4.11it/s] 29/50 10.2G 0.01679 11.74 2.325 145 640: 100%|██████████| 1/1 [00:00<00:00, 4.11it/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, 13.67it/s] all 15 182 0.0103 0.253 0.00673 0.0027
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 30/50 10.2G 0.01422 12.77 2.174 237 640: 0%| | 0/1 [00:00<?, ?it/s] 30/50 10.2G 0.01422 12.77 2.174 237 640: 100%|██████████| 1/1 [00:00<00:00, 3.93it/s] 30/50 10.2G 0.01422 12.77 2.174 237 640: 100%|██████████| 1/1 [00:00<00:00, 3.93it/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, 13.22it/s] all 15 182 0.0103 0.253 0.00673 0.0027
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 31/50 10.2G 0.01534 15.77 2.103 162 640: 0%| | 0/1 [00:00<?, ?it/s] 31/50 10.2G 0.01534 15.77 2.103 162 640: 100%|██████████| 1/1 [00:00<00:00, 3.63it/s] 31/50 10.2G 0.01534 15.77 2.103 162 640: 100%|██████████| 1/1 [00:00<00:00, 3.63it/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, 11.39it/s] all 15 182 0.0103 0.253 0.00673 0.0027
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 32/50 10.2G 0.01492 10.78 2.177 257 640: 0%| | 0/1 [00:00<?, ?it/s] 32/50 10.2G 0.01492 10.78 2.177 257 640: 100%|██████████| 1/1 [00:00<00:00, 4.01it/s] 32/50 10.2G 0.01492 10.78 2.177 257 640: 100%|██████████| 1/1 [00:00<00:00, 4.01it/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, 11.34it/s] all 15 182 0.0103 0.253 0.00673 0.0027
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 33/50 10.3G 0.01525 10.89 2.118 307 640: 0%| | 0/1 [00:00<?, ?it/s] 33/50 10.3G 0.01525 10.89 2.118 307 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/s] 33/50 10.3G 0.01525 10.89 2.118 307 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/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, 12.75it/s] all 15 182 0.000222 0.00549 0.000113 6.76e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 34/50 10.2G 0.01582 10.8 2.377 226 640: 0%| | 0/1 [00:00<?, ?it/s] 34/50 10.2G 0.01582 10.8 2.377 226 640: 100%|██████████| 1/1 [00:00<00:00, 4.02it/s] 34/50 10.2G 0.01582 10.8 2.377 226 640: 100%|██████████| 1/1 [00:00<00:00, 4.02it/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, 12.57it/s] all 15 182 0.000222 0.00549 0.000113 6.76e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 35/50 10.2G 0.01544 12.48 2.466 158 640: 0%| | 0/1 [00:00<?, ?it/s] 35/50 10.2G 0.01544 12.48 2.466 158 640: 100%|██████████| 1/1 [00:00<00:00, 4.10it/s] 35/50 10.2G 0.01544 12.48 2.466 158 640: 100%|██████████| 1/1 [00:00<00:00, 4.10it/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, 13.00it/s] all 15 182 0.000444 0.011 0.00023 7.98e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 36/50 10.1G 0.01669 9.281 2.345 319 640: 0%| | 0/1 [00:00<?, ?it/s] 36/50 10.1G 0.01669 9.281 2.345 319 640: 100%|██████████| 1/1 [00:00<00:00, 4.02it/s] 36/50 10.1G 0.01669 9.281 2.345 319 640: 100%|██████████| 1/1 [00:00<00:00, 4.01it/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, 13.22it/s] all 15 182 0.000444 0.011 0.00023 7.98e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 37/50 10.2G 0.01713 12.81 2.615 157 640: 0%| | 0/1 [00:00<?, ?it/s] 37/50 10.2G 0.01713 12.81 2.615 157 640: 100%|██████████| 1/1 [00:00<00:00, 4.16it/s] 37/50 10.2G 0.01713 12.81 2.615 157 640: 100%|██████████| 1/1 [00:00<00:00, 4.15it/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, 12.58it/s] all 15 182 0.00131 0.0275 0.000707 0.000181
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 38/50 10.1G 0.01738 13.55 2.392 204 640: 0%| | 0/1 [00:00<?, ?it/s] 38/50 10.1G 0.01738 13.55 2.392 204 640: 100%|██████████| 1/1 [00:00<00:00, 3.24it/s] 38/50 10.1G 0.01738 13.55 2.392 204 640: 100%|██████████| 1/1 [00:00<00:00, 3.24it/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, 12.55it/s] all 15 182 0.00131 0.0275 0.000707 0.000181
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 39/50 10.2G 0.01591 11.95 2.272 252 640: 0%| | 0/1 [00:00<?, ?it/s] 39/50 10.2G 0.01591 11.95 2.272 252 640: 100%|██████████| 1/1 [00:00<00:00, 4.21it/s] 39/50 10.2G 0.01591 11.95 2.272 252 640: 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, 11.66it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 40/50 10.1G 0.01599 11.86 2.269 188 640: 0%| | 0/1 [00:00<?, ?it/s] 40/50 10.1G 0.01599 11.86 2.269 188 640: 100%|██████████| 1/1 [00:00<00:00, 4.02it/s] 40/50 10.1G 0.01599 11.86 2.269 188 640: 100%|██████████| 1/1 [00:00<00:00, 4.01it/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, 11.73it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Closing dataloader mosaic
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 41/50 10.1G 0.01556 12.37 2.35 106 640: 0%| | 0/1 [00:01<?, ?it/s] 41/50 10.1G 0.01556 12.37 2.35 106 640: 100%|██████████| 1/1 [00:01<00:00, 1.41s/it] 41/50 10.1G 0.01556 12.37 2.35 106 640: 100%|██████████| 1/1 [00:01<00:00, 1.41s/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, 10.43it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 42/50 10G 0.01479 11.59 2.189 126 640: 0%| | 0/1 [00:00<?, ?it/s] 42/50 10G 0.01479 11.59 2.189 126 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/s] 42/50 10G 0.01479 11.59 2.189 126 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/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, 10.08it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 43/50 10.1G 0.01602 13.03 2.496 108 640: 0%| | 0/1 [00:00<?, ?it/s] 43/50 10.1G 0.01602 13.03 2.496 108 640: 100%|██████████| 1/1 [00:00<00:00, 4.09it/s] 43/50 10.1G 0.01602 13.03 2.496 108 640: 100%|██████████| 1/1 [00:00<00:00, 4.09it/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, 10.45it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 44/50 10G 0.01465 11.06 2.134 117 640: 0%| | 0/1 [00:00<?, ?it/s] 44/50 10G 0.01465 11.06 2.134 117 640: 100%|██████████| 1/1 [00:00<00:00, 4.01it/s] 44/50 10G 0.01465 11.06 2.134 117 640: 100%|██████████| 1/1 [00:00<00:00, 4.01it/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, 13.59it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 45/50 10.1G 0.01452 11.12 2.403 114 640: 0%| | 0/1 [00:00<?, ?it/s] 45/50 10.1G 0.01452 11.12 2.403 114 640: 100%|██████████| 1/1 [00:00<00:00, 4.01it/s] 45/50 10.1G 0.01452 11.12 2.403 114 640: 100%|██████████| 1/1 [00:00<00:00, 4.01it/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, 15.23it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 46/50 10G 0.01468 11.01 2.504 106 640: 0%| | 0/1 [00:00<?, ?it/s] 46/50 10G 0.01468 11.01 2.504 106 640: 100%|██████████| 1/1 [00:00<00:00, 3.95it/s] 46/50 10G 0.01468 11.01 2.504 106 640: 100%|██████████| 1/1 [00:00<00:00, 3.94it/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, 15.16it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 47/50 10.1G 0.01436 10.92 2.434 112 640: 0%| | 0/1 [00:00<?, ?it/s] 47/50 10.1G 0.01436 10.92 2.434 112 640: 100%|██████████| 1/1 [00:00<00:00, 4.31it/s] 47/50 10.1G 0.01436 10.92 2.434 112 640: 100%|██████████| 1/1 [00:00<00:00, 4.30it/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, 15.78it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 48/50 10G 0.01617 9.936 2.441 121 640: 0%| | 0/1 [00:00<?, ?it/s] 48/50 10G 0.01617 9.936 2.441 121 640: 100%|██████████| 1/1 [00:00<00:00, 3.96it/s] 48/50 10G 0.01617 9.936 2.441 121 640: 100%|██████████| 1/1 [00:00<00:00, 3.96it/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, 15.38it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 49/50 10.1G 0.01636 10.12 2.695 122 640: 0%| | 0/1 [00:00<?, ?it/s] 49/50 10.1G 0.01636 10.12 2.695 122 640: 100%|██████████| 1/1 [00:00<00:00, 4.00it/s] 49/50 10.1G 0.01636 10.12 2.695 122 640: 100%|██████████| 1/1 [00:00<00:00, 4.00it/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, 14.99it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 50/50 10G 0.01576 9.827 2.327 115 640: 0%| | 0/1 [00:00<?, ?it/s] 50/50 10G 0.01576 9.827 2.327 115 640: 100%|██████████| 1/1 [00:00<00:00, 3.99it/s] 50/50 10G 0.01576 9.827 2.327 115 640: 100%|██████████| 1/1 [00:00<00:00, 3.98it/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, 13.54it/s] all 15 182 0.000556 0.011 0.00029 7.23e-05
50 epochs completed in 0.018 hours.
Optimizer stripped from runs/detect/train18/weights/last.pt, 87.7MB
Optimizer stripped from runs/detect/train18/weights/best.pt, 87.6MB
Validating runs/detect/train18/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): 268 layers, 43607379 parameters, 0 gradients, 164.8 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, 9.99it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.93it/s] all 15 182 0.0354 0.11 0.0274 0.00654
Speed: 0.1ms preprocess, 2.5ms inference, 0.0ms loss, 2.3ms postprocess per image
Results saved to [1mruns/detect/train18[0m
wandb: - 89.493 MB of 89.493 MB uploadedwandb: \ 89.493 MB of 89.493 MB uploadedwandb: | 89.538 MB of 89.538 MB uploadedwandb:
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 0.00056
wandb: lr/pg1 0.00056
wandb: lr/pg2 0.00056
wandb: metrics/mAP50(B) 0.0274
wandb: metrics/mAP50-95(B) 0.00654
wandb: metrics/precision(B) 0.0354
wandb: metrics/recall(B) 0.10989
wandb: model/GFLOPs 165.403
wandb: model/parameters 43630611
wandb: model/speed_PyTorch(ms) 10.924
wandb: train/box_loss 0.01576
wandb: train/cls_loss 9.82701
wandb: train/dfl_loss 2.32725
wandb: val/box_loss nan
wandb: val/cls_loss nan
wandb: val/dfl_loss nan
wandb:
wandb: 🚀 View run train18 at: https://wandb.ai/fin-jason20/YOLOv8/runs/6plkb3wy
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), 5 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240402_011347-6plkb3wy/logs
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
Model summary (fused): 268 layers, 43607379 parameters, 0 gradients, 164.8 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, 1.52it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.52it/s] all 15 182 0.0351 0.11 0.0272 0.0065
Speed: 0.1ms preprocess, 10.7ms inference, 0.0ms loss, 2.8ms postprocess per image
Results saved to [1mruns/detect/train182[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 0x2b8ec3863d90>
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([[ 0.33333, 0.33333, 0.33333, 0.33333, 0.33333, 0.33333, 0.18182, 0.18182, 0.18182, 0.18182, 0.18182, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192,
0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.082192, 0.045455, 0.045455, 0.045455, 0.045455, 0.045455, 0.045455, 0.045455, 0.045455, 0.045455, 0.045455, 0.045455, 0.045455, 0.045455,
0.045455, 0.045455, 0.045455, 0.045455, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216,
0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.042216, 0.038147, 0.038147, 0.038147, 0.038147,
0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147,
0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147,
0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147,
0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147,
0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147,
0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147, 0.038147,
0.038147, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.036805,
0.036805, 0.036805, 0.036805, 0.036805, 0.036805, 0.035714, 0.035714, 0.035714, 0.035714, 0.035714, 0.035714, 0.035537, 0.035537, 0.035537, 0.035537, 0.035537, 0.035537, 0.035537, 0.035537, 0.035537, 0.035537, 0.035537, 0.035357,
0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357,
0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357,
0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.035357, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388,
0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.03388, 0.033557, 0.033557, 0.033557, 0.033557, 0.033557, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333,
0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033333,
0.033333, 0.033333, 0.033333, 0.033333, 0.033333, 0.033318, 0.033318, 0.033318, 0.033318, 0.033318, 0.033171, 0.033171, 0.033171, 0.033171, 0.033171, 0.033171, 0.033171, 0.033171, 0.033171, 0.033171, 0.033171, 0.032604, 0.032604,
0.032604, 0.032604, 0.032604, 0.032604, 0.031661, 0.031661, 0.031661, 0.031661, 0.031661, 0.030636, 0.030636, 0.030636, 0.030636, 0.030636, 0.030636, 0.030153, 0.030153, 0.030153, 0.030153, 0.030153, 0.029433, 0.029433, 0.029433,
0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.029433, 0.02896, 0.02896, 0.02896, 0.02896, 0.02896, 0.028698, 0.028698, 0.028698, 0.028698,
0.028698, 0.028698, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182,
0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.028182, 0.027847, 0.027847, 0.027847, 0.027847, 0.027847, 0.027847, 0.027523, 0.027523, 0.027523, 0.027523, 0.027523, 0.027523, 0.027523, 0.027523, 0.027523, 0.027523, 0.027523,
0.027523, 0.027523, 0.027523, 0.027523, 0.027523, 0.025697, 0.025697, 0.025697, 0.025697, 0.025697, 0.020887, 0.020844, 0.020801, 0.020758, 0.020714, 0.020671, 0.020628, 0.020585, 0.020542, 0.020498, 0.020455, 0.020412, 0.020369,
0.020325, 0.020282, 0.020239, 0.020196, 0.020152, 0.020109, 0.020066, 0.020023, 0.019979, 0.019936, 0.019893, 0.01985, 0.019806, 0.019763, 0.01972, 0.019677, 0.019633, 0.01959, 0.019547, 0.019504, 0.01946, 0.019417, 0.019374,
0.019331, 0.019287, 0.019244, 0.019201, 0.019158, 0.019114, 0.019071, 0.019028, 0.018985, 0.018941, 0.018898, 0.018855, 0.018812, 0.018768, 0.018725, 0.018682, 0.018639, 0.018595, 0.018552, 0.018509, 0.018466, 0.018422, 0.018379,
0.018336, 0.018293, 0.01825, 0.018206, 0.018163, 0.01812, 0.018077, 0.018033, 0.01799, 0.017947, 0.017904, 0.01786, 0.017817, 0.017774, 0.017731, 0.017687, 0.017644, 0.017601, 0.017558, 0.017514, 0.017471, 0.017428, 0.017385,
0.017341, 0.017298, 0.017255, 0.017212, 0.017168, 0.017125, 0.017082, 0.017039, 0.016995, 0.016952, 0.016909, 0.016866, 0.016822, 0.016779, 0.016736, 0.016693, 0.016649, 0.016606, 0.016563, 0.01652, 0.016476, 0.016433, 0.01639,
0.016347, 0.016303, 0.01626, 0.016217, 0.016174, 0.01613, 0.016087, 0.016044, 0.016001, 0.015958, 0.015914, 0.015871, 0.015828, 0.015785, 0.015741, 0.015698, 0.015655, 0.015612, 0.015568, 0.015525, 0.015482, 0.015439, 0.015395,
0.015352, 0.015309, 0.015266, 0.015222, 0.015179, 0.015136, 0.015093, 0.015049, 0.015006, 0.014963, 0.01492, 0.014876, 0.014833, 0.01479, 0.014747, 0.014703, 0.01466, 0.014617, 0.014574, 0.01453, 0.014487, 0.014444, 0.014401,
0.014357, 0.014314, 0.014271, 0.014228, 0.014184, 0.014141, 0.014098, 0.014055, 0.014011, 0.013968, 0.013925, 0.013882, 0.013838, 0.013795, 0.013752, 0.013709, 0.013666, 0.013622, 0.013579, 0.013536, 0.013493, 0.013449, 0.013406,
0.013363, 0.01332, 0.013276, 0.013233, 0.01319, 0.013147, 0.013103, 0.01306, 0.013017, 0.012974, 0.01293, 0.012887, 0.012844, 0.012801, 0.012757, 0.012714, 0.012671, 0.012628, 0.012584, 0.012541, 0.012498, 0.012455, 0.012411,
0.012368, 0.012325, 0.012282, 0.012238, 0.012195, 0.012152, 0.012109, 0.012065, 0.012022, 0.011979, 0.011936, 0.011892, 0.011849, 0.011806, 0.011763, 0.011719, 0.011676, 0.011633, 0.01159, 0.011546, 0.011503, 0.01146, 0.011417,
0.011374, 0.01133, 0.011287, 0.011244, 0.011201, 0.011157, 0.011114, 0.011071, 0.011028, 0.010984, 0.010941, 0.010898, 0.010855, 0.010811, 0.010768, 0.010725, 0.010682, 0.010638, 0.010595, 0.010552, 0.010509, 0.010465, 0.010422,
0.010379, 0.010336, 0.010292, 0.010249, 0.010206, 0.010163, 0.010119, 0.010076, 0.010033, 0.0099897, 0.0099464, 0.0099032, 0.0098599, 0.0098167, 0.0097734, 0.0097302, 0.0096869, 0.0096437, 0.0096004, 0.0095572, 0.009514, 0.0094707, 0.0094275,
0.0093842, 0.009341, 0.0092977, 0.0092545, 0.0092112, 0.009168, 0.0091248, 0.0090815, 0.0090383, 0.008995, 0.0089518, 0.0089085, 0.0088653, 0.008822, 0.0087788, 0.0087355, 0.0086923, 0.0086491, 0.0086058, 0.0085626, 0.0085193, 0.0084761, 0.0084328,
0.0083896, 0.0083463, 0.0083031, 0.0082598, 0.0082166, 0.0081734, 0.0081301, 0.0080869, 0.0080436, 0.0080004, 0.0079571, 0.0079139, 0.0078706, 0.0078274, 0.0077841, 0.0077409, 0.0076977, 0.0076544, 0.0076112, 0.0075679, 0.0075247, 0.0074814, 0.0074382,
0.0073949, 0.0073517, 0.0073084, 0.0072652, 0.007222, 0.0071787, 0.0071355, 0.0070922, 0.007049, 0.0070057, 0.0069625, 0.0069192, 0.006876, 0.0068328, 0.0067895, 0.0067463, 0.006703, 0.0066598, 0.0066165, 0.0065733, 0.00653, 0.0064868, 0.0064435,
0.0064003, 0.0063571, 0.0063138, 0.0062706, 0.0062273, 0.0061841, 0.0061408, 0.0060976, 0.0060543, 0.0060111, 0.0059678, 0.0059246, 0.0058814, 0.0058381, 0.0057949, 0.0057516, 0.0057084, 0.0056651, 0.0056219, 0.0055786, 0.0055354, 0.0054921, 0.0054489,
0.0054057, 0.0053624, 0.0053192, 0.0052759, 0.0052327, 0.0051894, 0.0051462, 0.0051029, 0.0050597, 0.0050165, 0.0049732, 0.00493, 0.0048867, 0.0048435, 0.0048002, 0.004757, 0.0047137, 0.0046705, 0.0046272, 0.004584, 0.0045408, 0.0044975, 0.0044543,
0.004411, 0.0043678, 0.0043245, 0.0042813, 0.004238, 0.0041948, 0.0041515, 0.0041083, 0.0040651, 0.0040218, 0.0039786, 0.0039353, 0.0038921, 0.0038488, 0.0038056, 0.0037623, 0.0037191, 0.0036758, 0.0036326, 0.0035894, 0.0035461, 0.0035029, 0.0034596,
0.0034164, 0.0033731, 0.0033299, 0.0032866, 0.0032434, 0.0032001, 0.0031569, 0.0031137, 0.0030704, 0.0030272, 0.0029839, 0.0029407, 0.0028974, 0.0028542, 0.0028109, 0.0027677, 0.0027245, 0.0026812, 0.002638, 0.0025947, 0.0025515, 0.0025082, 0.002465,
0.0024217, 0.0023785, 0.0023352, 0.002292, 0.0022488, 0.0022055, 0.0021623, 0.002119, 0.0020758, 0.0020325, 0.0019893, 0.001946, 0.0019028, 0.0018595, 0.0018163, 0.0017731, 0.0017298, 0.0016866, 0.0016433, 0.0016001, 0.0015568, 0.0015136, 0.0014703,
0.0014271, 0.0013838, 0.0013406, 0.0012974, 0.0012541, 0.0012109, 0.0011676, 0.0011244, 0.0010811, 0.0010379, 0.00099464, 0.0009514, 0.00090815, 0.00086491, 0.00082166, 0.00077841, 0.00073517, 0.00069192, 0.00064868, 0.00060543, 0.00056219, 0.00051894, 0.0004757,
0.00043245, 0.00038921, 0.00034596, 0.00030272, 0.00025947, 0.00021623, 0.00017298, 0.00012974, 8.6491e-05, 4.3245e-05, 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([[ 0.040154, 0.040154, 0.040154, 0.040154, 0.040154, 0.040154, 0.040154, 0.040154, 0.04028, 0.040785, 0.041172, 0.041828, 0.042774, 0.043859, 0.044832, 0.045424, 0.046173, 0.046841, 0.047334, 0.0477, 0.048037, 0.048802, 0.0495,
0.050909, 0.053043, 0.053128, 0.054604, 0.0565, 0.059036, 0.061489, 0.060154, 0.061367, 0.061865, 0.059909, 0.059872, 0.061728, 0.062246, 0.062649, 0.062685, 0.062336, 0.059378, 0.057775, 0.057155, 0.052373, 0.050645, 0.051041,
0.046771, 0.049101, 0.051353, 0.053165, 0.053042, 0.051867, 0.050549, 0.04956, 0.051929, 0.053983, 0.055865, 0.053875, 0.05217, 0.050044, 0.047798, 0.041216, 0.042594, 0.044357, 0.041123, 0.042256, 0.043168, 0.044065, 0.045308,
0.046764, 0.042766, 0.038059, 0.038707, 0.039307, 0.039953, 0.036862, 0.03569, 0.036471, 0.037089, 0.037825, 0.038041, 0.038487, 0.03873, 0.039478, 0.040565, 0.041017, 0.041283, 0.041612, 0.04202, 0.042367, 0.042728, 0.043193,
0.044118, 0.044401, 0.045035, 0.045256, 0.046469, 0.046911, 0.046218, 0.04291, 0.039602, 0.04005, 0.040251, 0.032568, 0.032514, 0.033069, 0.028337, 0.025135, 0.02532, 0.025512, 0.025571, 0.025611, 0.025667, 0.025775, 0.025874,
0.02591, 0.025946, 0.026037, 0.02616, 0.026225, 0.02627, 0.026314, 0.017744, 0.017975, 0.018108, 0.018144, 0.018179, 0.018319, 0.018415, 0.018453, 0.018476, 0.018498, 0.018546, 0.018705, 0.018737, 0.018768, 0.018886, 0.018915,
0.018943, 0.018966, 0.018984, 0.019002, 0.019019, 0.019037, 0.019054, 0.01907, 0.019086, 0.019102, 0.019118, 0.019133, 0.019234, 0.01929, 0.019425, 0.019456, 0.019486, 0.019514, 0.019526, 0.019537, 0.019549, 0.019561, 0.019572,
0.019584, 0.019595, 0.019606, 0.019631, 0.019657, 0.019683, 0.019711, 0.01975, 0.019787, 0.019812, 0.019828, 0.019843, 0.019859, 0.019874, 0.019889, 0.019925, 0.020104, 0.020131, 0.020158, 0.020185, 0.020324, 0.020386, 0.020424,
0.020449, 0.020473, 0.020496, 0.02052, 0.020548, 0.020574, 0.020599, 0.020654, 0.0201, 0.019037, 0.017974, 0.016911, 0.015848, 0.014785, 0.013722, 0.012658, 0.011595, 0.010531, 0.010423, 0.01043, 0.010437, 0.010444, 0.01045,
0.010457, 0.010463, 0.010469, 0.010487, 0.010508, 0.010528, 0.010546, 0.010563, 0.010578, 0.010602, 0.010626, 0.010641, 0.010647, 0.010652, 0.010658, 0.010663, 0.010668, 0.010673, 0.010678, 0.010682, 0.010687, 0.010691, 0.010695,
0.010703, 0.01071, 0.010716, 0.010723, 0.010729, 0.010734, 0.01074, 0.010745, 0.01075, 0.010754, 0.010756, 0.010758, 0.010761, 0.010763, 0.010765, 0.010767, 0.010769, 0.010771, 0.010773, 0.010775, 0.010777, 0.010779, 0.010781,
0.010783, 0.010785, 0.010786, 0.010788, 0.01079, 0.010791, 0.010793, 0.010795, 0.010796, 0.010798, 0.010799, 0.010801, 0.010802, 0.010804, 0.010805, 0.010807, 0.010808, 0.01081, 0.010797, 0.010467, 0.010136, 0.0098056, 0.0094752,
0.0091447, 0.0088142, 0.0084837, 0.0081533, 0.0078228, 0.0074923, 0.0071619, 0.0068314, 0.0065009, 0.0061704, 0.00584, 0.0055095, 0.005179, 0.0048486, 0.0045181, 0.0041876, 0.0038572, 0.0035267, 0.0031962, 0.0028657, 0.0025353, 0.0022048, 0.0018743,
0.0015439, 0.0012134, 0.00088293, 0.00055246, 0.00022199, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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([[ 0.020889, 0.020889, 0.020889, 0.020889, 0.020889, 0.020889, 0.020889, 0.020889, 0.020957, 0.021231, 0.02144, 0.021797, 0.022311, 0.022902, 0.023433, 0.023757, 0.024167, 0.024533, 0.024803, 0.025005, 0.02519, 0.025611, 0.02601,
0.026836, 0.028043, 0.028186, 0.029087, 0.030244, 0.031763, 0.033297, 0.032797, 0.033668, 0.034136, 0.03325, 0.03344, 0.03477, 0.035388, 0.035987, 0.036269, 0.036473, 0.03511, 0.034567, 0.034571, 0.032064, 0.031341, 0.031979,
0.029708, 0.031613, 0.033505, 0.035065, 0.035553, 0.035151, 0.034651, 0.034506, 0.036847, 0.038951, 0.04094, 0.040017, 0.039469, 0.038514, 0.037486, 0.032976, 0.034776, 0.037191, 0.035196, 0.036889, 0.038302, 0.039737, 0.041806,
0.044354, 0.041126, 0.037666, 0.038955, 0.040191, 0.041564, 0.039088, 0.038904, 0.040809, 0.042388, 0.044363, 0.044961, 0.046226, 0.046936, 0.049193, 0.052715, 0.054269, 0.055209, 0.056404, 0.057926, 0.059266, 0.060699, 0.062616,
0.066669, 0.067977, 0.07104, 0.07215, 0.078705, 0.081297, 0.080797, 0.075313, 0.069828, 0.073871, 0.075253, 0.06186, 0.062455, 0.066755, 0.058268, 0.052899, 0.054583, 0.056411, 0.056987, 0.057391, 0.057961, 0.059078, 0.06013,
0.06052, 0.06091, 0.061935, 0.063348, 0.064113, 0.064657, 0.065201, 0.046053, 0.049342, 0.051419, 0.052, 0.05258, 0.055011, 0.056794, 0.057524, 0.05797, 0.058416, 0.059378, 0.06281, 0.063529, 0.064249, 0.067116, 0.06785,
0.068585, 0.069197, 0.069679, 0.07016, 0.070642, 0.071123, 0.071598, 0.072061, 0.072524, 0.072988, 0.073451, 0.073914, 0.077038, 0.07886, 0.083605, 0.084768, 0.085932, 0.087014, 0.087491, 0.087968, 0.088446, 0.088923, 0.0894,
0.089877, 0.090355, 0.090832, 0.091894, 0.093069, 0.094243, 0.095524, 0.097389, 0.099254, 0.1005, 0.10132, 0.10215, 0.10298, 0.10381, 0.10463, 0.10664, 0.11787, 0.1198, 0.12174, 0.12367, 0.13505, 0.14075, 0.14445,
0.14697, 0.14949, 0.15202, 0.15471, 0.15785, 0.16099, 0.16412, 0.17145, 0.17685, 0.16841, 0.15997, 0.15153, 0.1431, 0.13466, 0.12622, 0.11778, 0.10934, 0.10091, 0.10121, 0.10256, 0.10391, 0.10526, 0.10661,
0.10796, 0.10931, 0.11066, 0.11469, 0.12006, 0.12543, 0.13077, 0.13611, 0.14145, 0.15047, 0.16081, 0.16794, 0.17086, 0.17378, 0.17671, 0.17963, 0.18255, 0.18547, 0.1884, 0.19132, 0.19424, 0.19717, 0.20016,
0.20541, 0.21066, 0.21592, 0.22117, 0.22642, 0.23167, 0.23692, 0.24217, 0.24742, 0.2513, 0.25387, 0.25644, 0.259, 0.26157, 0.26414, 0.26671, 0.26927, 0.27184, 0.27441, 0.27697, 0.27954, 0.28211, 0.28467,
0.28724, 0.28981, 0.29237, 0.29494, 0.29751, 0.30007, 0.30264, 0.30521, 0.30777, 0.31034, 0.31291, 0.31547, 0.31804, 0.32061, 0.32317, 0.32574, 0.32831, 0.33087, 0.33291, 0.32272, 0.31253, 0.30234, 0.29215,
0.28196, 0.27177, 0.26158, 0.25139, 0.2412, 0.23101, 0.22082, 0.21063, 0.20045, 0.19026, 0.18007, 0.16988, 0.15969, 0.1495, 0.13931, 0.12912, 0.11893, 0.10874, 0.09855, 0.088361, 0.078171, 0.067982, 0.057792,
0.047603, 0.037413, 0.027224, 0.017034, 0.0068445, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 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([[ 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51648, 0.51099,
0.49451, 0.48901, 0.46154, 0.44505, 0.42857, 0.41758, 0.4011, 0.36264, 0.34612, 0.32967, 0.3022, 0.28571, 0.27473, 0.25824, 0.24176, 0.23077, 0.21429, 0.19231, 0.17582, 0.16484, 0.14286, 0.13187, 0.12637,
0.10989, 0.10989, 0.10989, 0.10989, 0.1044, 0.098901, 0.093407, 0.087912, 0.087912, 0.087912, 0.087912, 0.082418, 0.076923, 0.071429, 0.065934, 0.054945, 0.054945, 0.054945, 0.049451, 0.049451, 0.049451, 0.049451, 0.049451,
0.049451, 0.044543, 0.038462, 0.038462, 0.038462, 0.038462, 0.034875, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967,
0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032967, 0.032366, 0.030002, 0.027638, 0.027473, 0.027473, 0.022102, 0.021978, 0.021978, 0.018721, 0.016484, 0.016484, 0.016484, 0.016484, 0.016484, 0.016484, 0.016484, 0.016484,
0.016484, 0.016484, 0.016484, 0.016484, 0.016484, 0.016484, 0.016484, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989,
0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989,
0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989,
0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010655, 0.010089, 0.009522, 0.0089553, 0.0083886, 0.007822, 0.0072553, 0.0066886, 0.006122, 0.0055553, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945,
0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945,
0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945,
0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054945, 0.0054875, 0.0053195, 0.0051516, 0.0049836, 0.0048157,
0.0046477, 0.0044798, 0.0043118, 0.0041438, 0.0039759, 0.0038079, 0.00364, 0.003472, 0.003304, 0.0031361, 0.0029681, 0.0028002, 0.0026322, 0.0024642, 0.0022963, 0.0021283, 0.0019604, 0.0017924, 0.0016245, 0.0014565, 0.0012885, 0.0011206, 0.00095262,
0.00078466, 0.0006167, 0.00044874, 0.00028078, 0.00011282, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]), 'Confidence', 'Recall']]
fitness: 0.008570300434115476
keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']
maps: array([ 0.0065012])
names: {0: 'microglia'}
plot: True
results_dict: {'metrics/precision(B)': 0.03506489582597821, 'metrics/recall(B)': 0.10989010989010989, 'metrics/mAP50(B)': 0.027191935317068053, 'metrics/mAP50-95(B)': 0.006501229891565189, 'fitness': 0.008570300434115476}
save_dir: PosixPath('runs/detect/train182')
speed: {'preprocess': 0.09525616963704428, 'inference': 10.72257359822591, 'loss': 0.0004291534423828125, 'postprocess': 2.8102715810139975}
task: 'detect'