-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathslurm-5240354.out
1041 lines (829 loc) · 163 KB
/
slurm-5240354.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
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=/scratch/gilbreth/jpfinley/ultralytics/runs/detect/train25/weights/best.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=train30, 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=0.08777516703124755, lrf=0.3082509433476815, momentum=0.6010079293726774, weight_decay=0.0007079568675958306, warmup_epochs=1.5514330192249366, warmup_momentum=0.9396332784604206, warmup_bias_lr=0.1, box=0.020064608558060464, cls=1.3835558291283563, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.06962600429260686, hsv_s=0.368540647795345, hsv_v=0.35438750906717337, degrees=26.19478542937751, translate=0.7905333644587522, scale=0.1396248759068334, shear=4.7691235878049785, perspective=0.0007106702193341815, flipud=0.7239258548328599, fliplr=0.6723090306131797, mosaic=0.09866711957918162, mixup=0.25436763123188477, copy_paste=0.18246005581735414, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train30
from n params module arguments
0 -1 1 2320 ultralytics.nn.modules.conv.Conv [3, 80, 3, 2]
1 -1 1 115520 ultralytics.nn.modules.conv.Conv [80, 160, 3, 2]
2 -1 3 436800 ultralytics.nn.modules.block.C2f [160, 160, 3, True]
3 -1 1 461440 ultralytics.nn.modules.conv.Conv [160, 320, 3, 2]
4 -1 6 3281920 ultralytics.nn.modules.block.C2f [320, 320, 6, True]
5 -1 1 1844480 ultralytics.nn.modules.conv.Conv [320, 640, 3, 2]
6 -1 6 13117440 ultralytics.nn.modules.block.C2f [640, 640, 6, True]
7 -1 1 3687680 ultralytics.nn.modules.conv.Conv [640, 640, 3, 2]
8 -1 3 6969600 ultralytics.nn.modules.block.C2f [640, 640, 3, True]
9 -1 1 1025920 ultralytics.nn.modules.block.SPPF [640, 640, 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 7379200 ultralytics.nn.modules.block.C2f [1280, 640, 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 1948800 ultralytics.nn.modules.block.C2f [960, 320, 3]
16 -1 1 922240 ultralytics.nn.modules.conv.Conv [320, 320, 3, 2]
17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
18 -1 3 7174400 ultralytics.nn.modules.block.C2f [960, 640, 3]
19 -1 1 3687680 ultralytics.nn.modules.conv.Conv [640, 640, 3, 2]
20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 3 7379200 ultralytics.nn.modules.block.C2f [1280, 640, 3]
22 [15, 18, 21] 1 8718931 ultralytics.nn.modules.head.Detect [1, [320, 640, 640]]
Model summary: 365 layers, 68153571 parameters, 68153555 gradients, 258.1 GFLOPs
Transferred 595/595 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_015215-ukkgiaq9
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run train30
wandb: ⭐️ View project at https://wandb.ai/fin-jason20/YOLOv8
wandb: 🚀 View run at https://wandb.ai/fin-jason20/YOLOv8/runs/ukkgiaq9
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/train30/labels.jpg...
[34m[1moptimizer:[0m 'optimizer=auto' found, ignoring 'lr0=0.08777516703124755' and 'momentum=0.6010079293726774' 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=0.0007079568675958306), 103 bias(decay=0.0)
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to [1mruns/detect/train30[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 11.8G 0.005398 5.37 2.495 119 640: 0%| | 0/1 [00:04<?, ?it/s] 1/50 11.8G 0.005398 5.37 2.495 119 640: 100%|██████████| 1/1 [00:04<00:00, 4.35s/it] 1/50 11.8G 0.005398 5.37 2.495 119 640: 100%|██████████| 1/1 [00:04<00:00, 4.35s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 5.56it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 5.55it/s] all 15 182 0.277 0.489 0.242 0.068
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 2/50 12.4G 0.005513 5.12 2.429 66 640: 0%| | 0/1 [00:00<?, ?it/s] 2/50 12.4G 0.005513 5.12 2.429 66 640: 100%|██████████| 1/1 [00:00<00:00, 2.85it/s] 2/50 12.4G 0.005513 5.12 2.429 66 640: 100%|██████████| 1/1 [00:00<00:00, 2.84it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.67it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.64it/s] all 15 182 0.279 0.505 0.257 0.0716
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 3/50 11.8G 0.005507 5.165 2.513 67 640: 0%| | 0/1 [00:00<?, ?it/s] 3/50 11.8G 0.005507 5.165 2.513 67 640: 100%|██████████| 1/1 [00:00<00:00, 3.38it/s] 3/50 11.8G 0.005507 5.165 2.513 67 640: 100%|██████████| 1/1 [00:00<00:00, 3.38it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.87it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.85it/s] all 15 182 0.284 0.484 0.269 0.0746
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 4/50 11.8G 0.00523 4.823 2.424 69 640: 0%| | 0/1 [00:00<?, ?it/s] 4/50 11.8G 0.00523 4.823 2.424 69 640: 100%|██████████| 1/1 [00:00<00:00, 3.28it/s] 4/50 11.8G 0.00523 4.823 2.424 69 640: 100%|██████████| 1/1 [00:00<00:00, 3.28it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.89it/s] all 15 182 0.313 0.516 0.282 0.0776
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 5/50 11.8G 0.00574 5.057 2.389 80 640: 0%| | 0/1 [00:00<?, ?it/s] 5/50 11.8G 0.00574 5.057 2.389 80 640: 100%|██████████| 1/1 [00:00<00:00, 2.70it/s] 5/50 11.8G 0.00574 5.057 2.389 80 640: 100%|██████████| 1/1 [00:00<00:00, 2.70it/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, 10.99it/s] all 15 182 0.33 0.544 0.304 0.083
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 6/50 12.4G 0.005815 5.101 2.503 57 640: 0%| | 0/1 [00:00<?, ?it/s] 6/50 12.4G 0.005815 5.101 2.503 57 640: 100%|██████████| 1/1 [00:00<00:00, 3.41it/s] 6/50 12.4G 0.005815 5.101 2.503 57 640: 100%|██████████| 1/1 [00:00<00:00, 3.40it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.93it/s] all 15 182 0.332 0.555 0.327 0.0868
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 7/50 12.4G 0.005446 4.819 2.376 141 640: 0%| | 0/1 [00:00<?, ?it/s] 7/50 12.4G 0.005446 4.819 2.376 141 640: 100%|██████████| 1/1 [00:00<00:00, 3.28it/s] 7/50 12.4G 0.005446 4.819 2.376 141 640: 100%|██████████| 1/1 [00:00<00:00, 3.28it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.58it/s] all 15 182 0.339 0.533 0.337 0.0898
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 8/50 12.4G 0.004857 4.869 2.293 57 640: 0%| | 0/1 [00:00<?, ?it/s] 8/50 12.4G 0.004857 4.869 2.293 57 640: 100%|██████████| 1/1 [00:00<00:00, 3.36it/s] 8/50 12.4G 0.004857 4.869 2.293 57 640: 100%|██████████| 1/1 [00:00<00:00, 3.36it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.01it/s] all 15 182 0.365 0.555 0.373 0.101
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 9/50 12.4G 0.005249 4.861 2.321 76 640: 0%| | 0/1 [00:00<?, ?it/s] 9/50 12.4G 0.005249 4.861 2.321 76 640: 100%|██████████| 1/1 [00:00<00:00, 3.06it/s] 9/50 12.4G 0.005249 4.861 2.321 76 640: 100%|██████████| 1/1 [00:00<00:00, 3.05it/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, 9.54it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.48it/s] all 15 182 0.339 0.58 0.347 0.0923
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 10/50 12.4G 0.005548 4.954 2.478 97 640: 0%| | 0/1 [00:00<?, ?it/s] 10/50 12.4G 0.005548 4.954 2.478 97 640: 100%|██████████| 1/1 [00:00<00:00, 3.08it/s] 10/50 12.4G 0.005548 4.954 2.478 97 640: 100%|██████████| 1/1 [00:00<00:00, 3.08it/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, 10.15it/s] all 15 182 0.325 0.522 0.319 0.086
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 11/50 12.4G 0.005086 4.5 2.459 86 640: 0%| | 0/1 [00:00<?, ?it/s] 11/50 12.4G 0.005086 4.5 2.459 86 640: 100%|██████████| 1/1 [00:00<00:00, 3.00it/s] 11/50 12.4G 0.005086 4.5 2.459 86 640: 100%|██████████| 1/1 [00:00<00:00, 3.00it/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, 10.07it/s] all 15 182 0.343 0.467 0.301 0.0776
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 12/50 12.4G 0.005127 4.873 2.39 74 640: 0%| | 0/1 [00:00<?, ?it/s] 12/50 12.4G 0.005127 4.873 2.39 74 640: 100%|██████████| 1/1 [00:00<00:00, 3.33it/s] 12/50 12.4G 0.005127 4.873 2.39 74 640: 100%|██████████| 1/1 [00:00<00:00, 3.33it/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, 10.49it/s] all 15 182 0.344 0.467 0.311 0.0798
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 13/50 12.4G 0.005161 4.403 2.44 83 640: 0%| | 0/1 [00:00<?, ?it/s] 13/50 12.4G 0.005161 4.403 2.44 83 640: 100%|██████████| 1/1 [00:00<00:00, 3.15it/s] 13/50 12.4G 0.005161 4.403 2.44 83 640: 100%|██████████| 1/1 [00:00<00:00, 3.15it/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, 10.25it/s] all 15 182 0.341 0.412 0.264 0.0702
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 14/50 12.4G 0.005668 4.976 2.464 76 640: 0%| | 0/1 [00:00<?, ?it/s] 14/50 12.4G 0.005668 4.976 2.464 76 640: 100%|██████████| 1/1 [00:00<00:00, 3.20it/s] 14/50 12.4G 0.005668 4.976 2.464 76 640: 100%|██████████| 1/1 [00:00<00:00, 3.20it/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, 11.02it/s] all 15 182 0.373 0.456 0.285 0.072
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 15/50 12.4G 0.004946 5.292 2.395 56 640: 0%| | 0/1 [00:00<?, ?it/s] 15/50 12.4G 0.004946 5.292 2.395 56 640: 100%|██████████| 1/1 [00:00<00:00, 3.36it/s] 15/50 12.4G 0.004946 5.292 2.395 56 640: 100%|██████████| 1/1 [00:00<00:00, 3.36it/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, 10.78it/s] all 15 182 0.417 0.5 0.333 0.08
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 16/50 12.5G 0.005541 4.875 2.522 94 640: 0%| | 0/1 [00:00<?, ?it/s] 16/50 12.5G 0.005541 4.875 2.522 94 640: 100%|██████████| 1/1 [00:00<00:00, 3.24it/s] 16/50 12.5G 0.005541 4.875 2.522 94 640: 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, 10.59it/s] all 15 182 0.434 0.484 0.332 0.0806
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 17/50 12.4G 0.005324 4.836 2.514 98 640: 0%| | 0/1 [00:00<?, ?it/s] 17/50 12.4G 0.005324 4.836 2.514 98 640: 100%|██████████| 1/1 [00:00<00:00, 3.30it/s] 17/50 12.4G 0.005324 4.836 2.514 98 640: 100%|██████████| 1/1 [00:00<00:00, 3.30it/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, 10.74it/s] all 15 182 0.406 0.466 0.293 0.0693
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 18/50 12.4G 0.005254 5.201 2.369 73 640: 0%| | 0/1 [00:00<?, ?it/s] 18/50 12.4G 0.005254 5.201 2.369 73 640: 100%|██████████| 1/1 [00:00<00:00, 3.65it/s] 18/50 12.4G 0.005254 5.201 2.369 73 640: 100%|██████████| 1/1 [00:00<00:00, 3.65it/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, 10.87it/s] all 15 182 0.406 0.466 0.293 0.0693
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 19/50 12.4G 0.005568 5.218 2.392 59 640: 0%| | 0/1 [00:00<?, ?it/s] 19/50 12.4G 0.005568 5.218 2.392 59 640: 100%|██████████| 1/1 [00:00<00:00, 3.55it/s] 19/50 12.4G 0.005568 5.218 2.392 59 640: 100%|██████████| 1/1 [00:00<00:00, 3.55it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.73it/s] all 15 182 0.406 0.514 0.314 0.0766
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 20/50 12.4G 0.005396 5.156 2.396 90 640: 0%| | 0/1 [00:00<?, ?it/s] 20/50 12.4G 0.005396 5.156 2.396 90 640: 100%|██████████| 1/1 [00:00<00:00, 3.59it/s] 20/50 12.4G 0.005396 5.156 2.396 90 640: 100%|██████████| 1/1 [00:00<00:00, 3.58it/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, 10.77it/s] all 15 182 0.406 0.514 0.314 0.0766
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 21/50 12.4G 0.004955 4.994 2.353 104 640: 0%| | 0/1 [00:00<?, ?it/s] 21/50 12.4G 0.004955 4.994 2.353 104 640: 100%|██████████| 1/1 [00:00<00:00, 3.68it/s] 21/50 12.4G 0.004955 4.994 2.353 104 640: 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, 10.72it/s] all 15 182 0.531 0.533 0.397 0.0987
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 22/50 12.4G 0.005331 5.251 2.385 57 640: 0%| | 0/1 [00:00<?, ?it/s] 22/50 12.4G 0.005331 5.251 2.385 57 640: 100%|██████████| 1/1 [00:00<00:00, 3.65it/s] 22/50 12.4G 0.005331 5.251 2.385 57 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.76it/s] all 15 182 0.531 0.533 0.397 0.0987
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 23/50 12.4G 0.005191 5.082 2.334 78 640: 0%| | 0/1 [00:00<?, ?it/s] 23/50 12.4G 0.005191 5.082 2.334 78 640: 100%|██████████| 1/1 [00:00<00:00, 3.62it/s] 23/50 12.4G 0.005191 5.082 2.334 78 640: 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, 10.55it/s] all 15 182 0.587 0.571 0.482 0.126
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 24/50 12.4G 0.005311 4.75 2.488 72 640: 0%| | 0/1 [00:00<?, ?it/s] 24/50 12.4G 0.005311 4.75 2.488 72 640: 100%|██████████| 1/1 [00:00<00:00, 3.42it/s] 24/50 12.4G 0.005311 4.75 2.488 72 640: 100%|██████████| 1/1 [00:00<00:00, 3.42it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.90it/s] all 15 182 0.587 0.571 0.482 0.126
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 25/50 12.4G 0.005008 4.436 2.475 87 640: 0%| | 0/1 [00:00<?, ?it/s] 25/50 12.4G 0.005008 4.436 2.475 87 640: 100%|██████████| 1/1 [00:00<00:00, 3.70it/s] 25/50 12.4G 0.005008 4.436 2.475 87 640: 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, 10.85it/s] all 15 182 0.546 0.522 0.437 0.115
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 26/50 12.4G 0.005975 5.212 2.552 114 640: 0%| | 0/1 [00:00<?, ?it/s] 26/50 12.4G 0.005975 5.212 2.552 114 640: 100%|██████████| 1/1 [00:00<00:00, 3.72it/s] 26/50 12.4G 0.005975 5.212 2.552 114 640: 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, 10.56it/s] all 15 182 0.546 0.522 0.437 0.115
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 27/50 12.4G 0.005557 4.809 2.399 101 640: 0%| | 0/1 [00:00<?, ?it/s] 27/50 12.4G 0.005557 4.809 2.399 101 640: 100%|██████████| 1/1 [00:00<00:00, 3.71it/s] 27/50 12.4G 0.005557 4.809 2.399 101 640: 100%|██████████| 1/1 [00:00<00:00, 3.71it/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, 10.69it/s] all 15 182 0.505 0.527 0.396 0.103
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 28/50 12.4G 0.005481 5.407 2.535 63 640: 0%| | 0/1 [00:00<?, ?it/s] 28/50 12.4G 0.005481 5.407 2.535 63 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s] 28/50 12.4G 0.005481 5.407 2.535 63 640: 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, 10.37it/s] all 15 182 0.505 0.527 0.396 0.103
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 29/50 12.4G 0.005331 6.224 2.343 41 640: 0%| | 0/1 [00:00<?, ?it/s] 29/50 12.4G 0.005331 6.224 2.343 41 640: 100%|██████████| 1/1 [00:00<00:00, 3.79it/s] 29/50 12.4G 0.005331 6.224 2.343 41 640: 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, 10.45it/s] all 15 182 0.517 0.56 0.424 0.111
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 30/50 12.4G 0.00529 4.792 2.409 79 640: 0%| | 0/1 [00:00<?, ?it/s] 30/50 12.4G 0.00529 4.792 2.409 79 640: 100%|██████████| 1/1 [00:00<00:00, 3.63it/s] 30/50 12.4G 0.00529 4.792 2.409 79 640: 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, 9.50it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.48it/s] all 15 182 0.517 0.56 0.424 0.111
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 31/50 12.4G 0.005369 4.675 2.401 93 640: 0%| | 0/1 [00:00<?, ?it/s] 31/50 12.4G 0.005369 4.675 2.401 93 640: 100%|██████████| 1/1 [00:00<00:00, 3.56it/s] 31/50 12.4G 0.005369 4.675 2.401 93 640: 100%|██████████| 1/1 [00:00<00:00, 3.55it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.19it/s] all 15 182 0.432 0.516 0.364 0.0983
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 32/50 12.4G 0.005603 5.341 2.423 75 640: 0%| | 0/1 [00:00<?, ?it/s] 32/50 12.4G 0.005603 5.341 2.423 75 640: 100%|██████████| 1/1 [00:00<00:00, 3.61it/s] 32/50 12.4G 0.005603 5.341 2.423 75 640: 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, 10.13it/s] all 15 182 0.432 0.516 0.364 0.0983
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 33/50 12.4G 0.00496 4.836 2.439 83 640: 0%| | 0/1 [00:00<?, ?it/s] 33/50 12.4G 0.00496 4.836 2.439 83 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s] 33/50 12.4G 0.00496 4.836 2.439 83 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.42it/s] all 15 182 0.373 0.423 0.311 0.0845
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 34/50 12.4G 0.005243 4.646 2.353 86 640: 0%| | 0/1 [00:00<?, ?it/s] 34/50 12.4G 0.005243 4.646 2.353 86 640: 100%|██████████| 1/1 [00:00<00:00, 3.66it/s] 34/50 12.4G 0.005243 4.646 2.353 86 640: 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, 10.61it/s] all 15 182 0.373 0.423 0.311 0.0845
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 35/50 12.4G 0.005191 4.923 2.324 75 640: 0%| | 0/1 [00:00<?, ?it/s] 35/50 12.4G 0.005191 4.923 2.324 75 640: 100%|██████████| 1/1 [00:00<00:00, 3.68it/s] 35/50 12.4G 0.005191 4.923 2.324 75 640: 100%|██████████| 1/1 [00:00<00:00, 3.67it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.50it/s] all 15 182 0.337 0.445 0.268 0.071
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 36/50 12.4G 0.005191 5.426 2.446 55 640: 0%| | 0/1 [00:00<?, ?it/s] 36/50 12.4G 0.005191 5.426 2.446 55 640: 100%|██████████| 1/1 [00:00<00:00, 3.65it/s] 36/50 12.4G 0.005191 5.426 2.446 55 640: 100%|██████████| 1/1 [00:00<00:00, 3.65it/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, 10.35it/s] all 15 182 0.337 0.445 0.268 0.071
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 37/50 12.4G 0.005104 5.192 2.343 74 640: 0%| | 0/1 [00:00<?, ?it/s] 37/50 12.4G 0.005104 5.192 2.343 74 640: 100%|██████████| 1/1 [00:00<00:00, 3.38it/s] 37/50 12.4G 0.005104 5.192 2.343 74 640: 100%|██████████| 1/1 [00:00<00:00, 3.38it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.91it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.88it/s] all 15 182 0.25 0.429 0.223 0.0583
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 38/50 12.4G 0.004867 5.158 2.291 51 640: 0%| | 0/1 [00:00<?, ?it/s] 38/50 12.4G 0.004867 5.158 2.291 51 640: 100%|██████████| 1/1 [00:00<00:00, 3.52it/s] 38/50 12.4G 0.004867 5.158 2.291 51 640: 100%|██████████| 1/1 [00:00<00:00, 3.51it/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, 10.32it/s] all 15 182 0.25 0.429 0.223 0.0583
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 39/50 12.4G 0.005087 5.158 2.412 85 640: 0%| | 0/1 [00:00<?, ?it/s] 39/50 12.4G 0.005087 5.158 2.412 85 640: 100%|██████████| 1/1 [00:00<00:00, 2.62it/s] 39/50 12.4G 0.005087 5.158 2.412 85 640: 100%|██████████| 1/1 [00:00<00:00, 2.62it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.28it/s] all 15 182 0.252 0.434 0.212 0.0599
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 40/50 12.4G 0.004959 5.445 2.396 41 640: 0%| | 0/1 [00:00<?, ?it/s] 40/50 12.4G 0.004959 5.445 2.396 41 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s] 40/50 12.4G 0.004959 5.445 2.396 41 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.35it/s] all 15 182 0.252 0.434 0.212 0.0599
Closing dataloader mosaic
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 41/50 12.4G 0.004983 5.273 2.29 40 640: 0%| | 0/1 [00:01<?, ?it/s] 41/50 12.4G 0.004983 5.273 2.29 40 640: 100%|██████████| 1/1 [00:01<00:00, 1.55s/it] 41/50 12.4G 0.004983 5.273 2.29 40 640: 100%|██████████| 1/1 [00:01<00:00, 1.55s/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, 9.01it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.98it/s] all 15 182 0.347 0.452 0.305 0.0862
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 42/50 12.4G 0.005086 5.006 2.354 54 640: 0%| | 0/1 [00:00<?, ?it/s] 42/50 12.4G 0.005086 5.006 2.354 54 640: 100%|██████████| 1/1 [00:00<00:00, 3.71it/s] 42/50 12.4G 0.005086 5.006 2.354 54 640: 100%|██████████| 1/1 [00:00<00:00, 3.71it/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, 8.85it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.82it/s] all 15 182 0.347 0.452 0.305 0.0862
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 43/50 12.4G 0.004674 4.813 2.3 67 640: 0%| | 0/1 [00:00<?, ?it/s] 43/50 12.4G 0.004674 4.813 2.3 67 640: 100%|██████████| 1/1 [00:00<00:00, 2.95it/s] 43/50 12.4G 0.004674 4.813 2.3 67 640: 100%|██████████| 1/1 [00:00<00:00, 2.95it/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, 8.84it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.82it/s] all 15 182 0.409 0.473 0.357 0.104
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 44/50 12.4G 0.005013 4.831 2.348 66 640: 0%| | 0/1 [00:00<?, ?it/s] 44/50 12.4G 0.005013 4.831 2.348 66 640: 100%|██████████| 1/1 [00:00<00:00, 3.69it/s] 44/50 12.4G 0.005013 4.831 2.348 66 640: 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, 10.65it/s] all 15 182 0.409 0.473 0.357 0.104
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 45/50 12.4G 0.00502 4.848 2.31 54 640: 0%| | 0/1 [00:00<?, ?it/s] 45/50 12.4G 0.00502 4.848 2.31 54 640: 100%|██████████| 1/1 [00:00<00:00, 3.68it/s] 45/50 12.4G 0.00502 4.848 2.31 54 640: 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, 10.60it/s] all 15 182 0.389 0.44 0.334 0.0952
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 46/50 12.4G 0.004886 4.954 2.361 46 640: 0%| | 0/1 [00:00<?, ?it/s] 46/50 12.4G 0.004886 4.954 2.361 46 640: 100%|██████████| 1/1 [00:00<00:00, 3.67it/s] 46/50 12.4G 0.004886 4.954 2.361 46 640: 100%|██████████| 1/1 [00:00<00:00, 3.67it/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, 10.72it/s] all 15 182 0.389 0.44 0.334 0.0952
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 47/50 12.4G 0.004802 4.708 2.34 53 640: 0%| | 0/1 [00:00<?, ?it/s] 47/50 12.4G 0.004802 4.708 2.34 53 640: 100%|██████████| 1/1 [00:00<00:00, 3.63it/s] 47/50 12.4G 0.004802 4.708 2.34 53 640: 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, 10.67it/s] all 15 182 0.369 0.418 0.319 0.0875
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 48/50 12.4G 0.004887 4.767 2.278 53 640: 0%| | 0/1 [00:00<?, ?it/s] 48/50 12.4G 0.004887 4.767 2.278 53 640: 100%|██████████| 1/1 [00:00<00:00, 3.55it/s] 48/50 12.4G 0.004887 4.767 2.278 53 640: 100%|██████████| 1/1 [00:00<00:00, 3.55it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.37it/s] all 15 182 0.369 0.418 0.319 0.0875
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 49/50 12.4G 0.005344 4.99 2.384 60 640: 0%| | 0/1 [00:00<?, ?it/s] 49/50 12.4G 0.005344 4.99 2.384 60 640: 100%|██████████| 1/1 [00:00<00:00, 3.67it/s] 49/50 12.4G 0.005344 4.99 2.384 60 640: 100%|██████████| 1/1 [00:00<00:00, 3.67it/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, 10.46it/s] all 15 182 0.292 0.429 0.286 0.0815
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 50/50 12.4G 0.005063 4.336 2.354 69 640: 0%| | 0/1 [00:00<?, ?it/s] 50/50 12.4G 0.005063 4.336 2.354 69 640: 100%|██████████| 1/1 [00:00<00:00, 3.70it/s] 50/50 12.4G 0.005063 4.336 2.354 69 640: 100%|██████████| 1/1 [00:00<00:00, 3.70it/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, 10.46it/s] all 15 182 0.292 0.429 0.286 0.0815
50 epochs completed in 0.026 hours.
Optimizer stripped from runs/detect/train30/weights/last.pt, 136.7MB
Optimizer stripped from runs/detect/train30/weights/best.pt, 136.7MB
Validating runs/detect/train30/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, 68124531 parameters, 0 gradients, 257.4 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, 9.43it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.35it/s] all 15 182 0.583 0.571 0.481 0.126
Speed: 0.1ms preprocess, 3.7ms inference, 0.0ms loss, 0.6ms postprocess per image
Results saved to [1mruns/detect/train30[0m
wandb: - 82.819 MB of 135.391 MB uploadedwandb: \ 105.083 MB of 135.436 MB uploadedwandb: | 105.083 MB of 135.436 MB uploadedwandb: / 135.436 MB of 135.436 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 0.00032
wandb: lr/pg1 0.00032
wandb: lr/pg2 0.00032
wandb: metrics/mAP50(B) 0.481
wandb: metrics/mAP50-95(B) 0.1262
wandb: metrics/precision(B) 0.58273
wandb: metrics/recall(B) 0.57143
wandb: model/GFLOPs 258.123
wandb: model/parameters 68153571
wandb: model/speed_PyTorch(ms) 9.43
wandb: train/box_loss 0.00506
wandb: train/cls_loss 4.33623
wandb: train/dfl_loss 2.35356
wandb: val/box_loss 0.00659
wandb: val/cls_loss 5.5388
wandb: val/dfl_loss 2.71182
wandb:
wandb: 🚀 View run train30 at: https://wandb.ai/fin-jason20/YOLOv8/runs/ukkgiaq9
wandb: ️⚡ View job at https://wandb.ai/fin-jason20/YOLOv8/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjE1NTE4Mjc3OQ==/version_details/v13
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_015215-ukkgiaq9/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, 68124531 parameters, 0 gradients, 257.4 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, 1.49it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.49it/s] all 15 182 0.583 0.571 0.48 0.126
Speed: 0.5ms preprocess, 6.9ms inference, 0.0ms loss, 1.1ms postprocess per image
Results saved to [1mruns/detect/train302[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 0x2b8ac48b0df0>
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([[ 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561,
0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561,
0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561,
0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561,
0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561,
0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561,
0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561,
0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.7561, 0.72727, 0.72727, 0.72727, 0.72727, 0.72727, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588,
0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.70588, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7,
0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7,
0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7,
0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7,
0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7,
0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.69048, 0.69048, 0.69048, 0.69048, 0.69048, 0.69048, 0.69048, 0.69048, 0.69048, 0.69048, 0.69048, 0.66667, 0.66667, 0.66667,
0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66667, 0.66, 0.66, 0.66, 0.66,
0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891,
0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891,
0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891,
0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891,
0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891,
0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65891, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672, 0.65672,
0.65672, 0.64493, 0.64493, 0.64493, 0.64493, 0.64493, 0.6383, 0.6383, 0.6383, 0.6383, 0.6383, 0.6383, 0.63699, 0.63699, 0.63699, 0.63699, 0.63699, 0.63699, 0.63699, 0.63699, 0.63699, 0.63699, 0.63699,
0.63699, 0.63699, 0.63699, 0.63699, 0.63699, 0.63333, 0.63333, 0.63333, 0.63333, 0.63333, 0.63333, 0.63333, 0.63333, 0.63333, 0.63333, 0.63333, 0.62987, 0.62987, 0.62987, 0.62987, 0.62987, 0.62987, 0.62987,
0.62987, 0.62987, 0.62987, 0.62987, 0.6087, 0.6087, 0.6087, 0.6087, 0.6087, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757,
0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.58757, 0.57377, 0.57377, 0.57377, 0.57377,
0.57377, 0.57377, 0.56383, 0.56383, 0.56383, 0.56383, 0.56383, 0.55729, 0.55729, 0.55729, 0.55729, 0.55729, 0.55729, 0.54, 0.54, 0.54, 0.54, 0.54, 0.53695, 0.53695, 0.53695, 0.53695, 0.53695,
0.53695, 0.51643, 0.51643, 0.51643, 0.51643, 0.51643, 0.51628, 0.51628, 0.51628, 0.51628, 0.51628, 0.51628, 0.51613, 0.51613, 0.51613, 0.51613, 0.51613, 0.50901, 0.50901, 0.50901, 0.50901, 0.50901, 0.50901,
0.50442, 0.50442, 0.50442, 0.50442, 0.50442, 0.49569, 0.49569, 0.49569, 0.49569, 0.49569, 0.49569, 0.4875, 0.4875, 0.4875, 0.4875, 0.4875, 0.4875, 0.4875, 0.4875, 0.4875, 0.4875, 0.4875, 0.46825,
0.46825, 0.46825, 0.46825, 0.46825, 0.46667, 0.46667, 0.46667, 0.46667, 0.46667, 0.46667, 0.45977, 0.45977, 0.45977, 0.45977, 0.45977, 0.4566, 0.4566, 0.4566, 0.4566, 0.4566, 0.4566, 0.41497, 0.41497,
0.41497, 0.41497, 0.41497, 0.40196, 0.40196, 0.40196, 0.40196, 0.40196, 0.40196, 0.36152, 0.36152, 0.36152, 0.36152, 0.36152, 0.36023, 0.36023, 0.36023, 0.36023, 0.36023, 0.36023, 0.34332, 0.34332, 0.34332,
0.34332, 0.34332, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33947, 0.33854, 0.33854, 0.33854, 0.33854,
0.33854, 0.3119, 0.3119, 0.3119, 0.3119, 0.3119, 0.3119, 0.26667, 0.26667, 0.26667, 0.26667, 0.26667, 0.24314, 0.24314, 0.24314, 0.24314, 0.24314, 0.24314, 0.24194, 0.24194, 0.24194, 0.24194, 0.24194,
0.24194, 0.24194, 0.24194, 0.24194, 0.24194, 0.24194, 0.21622, 0.21622, 0.21622, 0.21622, 0.21622, 0.14891, 0.14891, 0.14891, 0.14891, 0.14891, 0.10665, 0.10665, 0.10665, 0.10665, 0.10665, 0.10665, 0.091992,
0.091992, 0.091992, 0.091992, 0.091992, 0.08046, 0.08046, 0.08046, 0.08046, 0.08046, 0.08046, 0.078595, 0.078595, 0.078595, 0.078595, 0.078595, 0.077851, 0.077851, 0.077851, 0.077851, 0.077851, 0.077851, 0.073544, 0.073544,
0.073544, 0.073544, 0.073544, 0.073544, 0.073544, 0.073544, 0.073544, 0.073544, 0.073544, 0.072211, 0.072211, 0.072211, 0.072211, 0.072211, 0.072099, 0.072099, 0.072099, 0.072099, 0.072099, 0.072099, 0.071498, 0.071498, 0.071498,
0.071498, 0.071498, 0.070577, 0.070577, 0.070577, 0.070577, 0.070577, 0.070577, 0.062631, 0.062631, 0.062631, 0.062631, 0.062631, 0.061075, 0.061075, 0.061075, 0.061075, 0.061075, 0.061075, 0.059519, 0.059519, 0.059519, 0.059519,
0.059519, 0.057883, 0.057883, 0.057883, 0.057883, 0.057883, 0.057883, 0.057476, 0.057476, 0.057476, 0.057476, 0.057476, 0.056797, 0.056797, 0.056797, 0.056797, 0.056797, 0.056797, 0.056797, 0.056797, 0.056797, 0.056797, 0.056797,
0.052846, 0.052846, 0.052846, 0.052846, 0.052846, 0.052846, 0.041766, 0.041766, 0.041766, 0.041766, 0.041766, 0.037879, 0.037602, 0.037326, 0.037049, 0.036773, 0.036496, 0.03622, 0.035943, 0.035667, 0.03539, 0.035114, 0.034837,
0.034561, 0.034284, 0.034008, 0.033731, 0.033455, 0.033178, 0.032902, 0.032625, 0.032349, 0.032073, 0.031796, 0.03152, 0.031243, 0.030967, 0.03069, 0.030414, 0.030137, 0.029861, 0.029584, 0.029308, 0.029031, 0.028755, 0.028478,
0.028202, 0.027925, 0.027649, 0.027372, 0.027096, 0.026819, 0.026543, 0.026266, 0.02599, 0.025713, 0.025437, 0.02516, 0.024884, 0.024607, 0.024331, 0.024054, 0.023778, 0.023501, 0.023225, 0.022948, 0.022672, 0.022395, 0.022119,
0.021842, 0.021566, 0.02129, 0.021013, 0.020737, 0.02046, 0.020184, 0.019907, 0.019631, 0.019354, 0.019078, 0.018801, 0.018525, 0.018248, 0.017972, 0.017695, 0.017419, 0.017142, 0.016866, 0.016589, 0.016313, 0.016036, 0.01576,
0.015483, 0.015207, 0.01493, 0.014654, 0.014377, 0.014101, 0.013824, 0.013548, 0.013271, 0.012995, 0.012718, 0.012442, 0.012165, 0.011889, 0.011612, 0.011336, 0.011059, 0.010783, 0.010507, 0.01023, 0.0099535, 0.0096771, 0.0094006,
0.0091241, 0.0088476, 0.0085711, 0.0082946, 0.0080181, 0.0077416, 0.0074652, 0.0071887, 0.0069122, 0.0066357, 0.0063592, 0.0060827, 0.0058062, 0.0055297, 0.0052533, 0.0049768, 0.0047003, 0.0044238, 0.0041473, 0.0038708, 0.0035943, 0.0033178, 0.0030414,
0.0027649, 0.0024884, 0.0022119, 0.0019354, 0.0016589, 0.0013824, 0.0011059, 0.00082946, 0.00055297, 0.00027649, 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([[ 0.072685, 0.072691, 0.080504, 0.088014, 0.092927, 0.096251, 0.099378, 0.10188, 0.10561, 0.10747, 0.10882, 0.11092, 0.11336, 0.11544, 0.1175, 0.12004, 0.1225, 0.12516, 0.12769, 0.12928, 0.13133, 0.13234, 0.13393,
0.13415, 0.13664, 0.13929, 0.14108, 0.14299, 0.14476, 0.14696, 0.14966, 0.15179, 0.15439, 0.15641, 0.15901, 0.16232, 0.1645, 0.16742, 0.16969, 0.1728, 0.17456, 0.17652, 0.18063, 0.18411, 0.18618, 0.19,
0.19344, 0.19675, 0.20001, 0.20464, 0.20931, 0.2134, 0.21737, 0.22095, 0.22379, 0.22879, 0.23219, 0.23623, 0.23998, 0.24609, 0.24888, 0.25176, 0.25662, 0.26117, 0.26614, 0.27143, 0.27639, 0.28243, 0.28804,
0.29539, 0.30005, 0.30324, 0.30618, 0.31238, 0.31675, 0.3181, 0.3226, 0.32744, 0.33225, 0.33476, 0.33672, 0.34197, 0.34716, 0.3523, 0.35498, 0.35646, 0.3611, 0.36439, 0.36454, 0.36535, 0.36746, 0.36942,
0.37283, 0.37863, 0.38227, 0.3874, 0.38799, 0.3911, 0.39829, 0.40113, 0.40803, 0.41092, 0.41427, 0.41791, 0.42174, 0.42516, 0.42697, 0.42901, 0.43106, 0.43363, 0.43436, 0.43466, 0.44078, 0.44568, 0.45197,
0.45433, 0.45815, 0.45856, 0.45381, 0.45429, 0.45639, 0.45849, 0.4564, 0.45708, 0.46127, 0.46345, 0.46507, 0.46649, 0.46852, 0.47127, 0.471, 0.47204, 0.47505, 0.47846, 0.47992, 0.48225, 0.48553, 0.48748,
0.49092, 0.4932, 0.49658, 0.4985, 0.50186, 0.50238, 0.50441, 0.50621, 0.51236, 0.51149, 0.51337, 0.51554, 0.51975, 0.52553, 0.52685, 0.53073, 0.53543, 0.53905, 0.5408, 0.53928, 0.53939, 0.53995, 0.5405,
0.53852, 0.54136, 0.54162, 0.54289, 0.54613, 0.54792, 0.55149, 0.55013, 0.55455, 0.55551, 0.55265, 0.55376, 0.55629, 0.55779, 0.55787, 0.56093, 0.55607, 0.55676, 0.55829, 0.55987, 0.56619, 0.56455, 0.5654,
0.56696, 0.56816, 0.5693, 0.57008, 0.57041, 0.57073, 0.57106, 0.57139, 0.57181, 0.56958, 0.571, 0.57387, 0.57416, 0.5723, 0.57368, 0.57469, 0.57547, 0.57628, 0.57733, 0.57889, 0.57122, 0.56972, 0.56822,
0.56542, 0.56383, 0.56469, 0.56211, 0.5617, 0.56273, 0.56357, 0.56454, 0.56579, 0.56921, 0.56665, 0.56777, 0.56878, 0.56972, 0.57076, 0.56925, 0.5707, 0.5714, 0.57209, 0.57307, 0.57474, 0.5698, 0.56971,
0.57076, 0.57177, 0.57088, 0.56782, 0.56467, 0.56655, 0.5588, 0.55604, 0.55728, 0.55618, 0.55406, 0.55183, 0.55302, 0.55508, 0.55675, 0.55002, 0.54881, 0.54834, 0.54691, 0.54548, 0.54542, 0.54636, 0.54194,
0.52589, 0.5121, 0.50545, 0.5065, 0.50229, 0.50172, 0.49777, 0.49635, 0.49494, 0.49352, 0.49467, 0.49342, 0.48661, 0.48742, 0.48825, 0.48912, 0.48873, 0.48628, 0.48114, 0.4805, 0.47393, 0.46866, 0.46631,
0.46634, 0.46748, 0.46341, 0.46024, 0.45766, 0.45208, 0.45243, 0.45042, 0.44768, 0.44506, 0.44338, 0.4417, 0.44002, 0.44065, 0.43001, 0.43075, 0.43228, 0.43479, 0.43405, 0.43043, 0.4251, 0.42657, 0.42462,
0.41416, 0.41111, 0.40295, 0.4011, 0.39925, 0.3974, 0.38501, 0.3758, 0.37282, 0.36894, 0.36519, 0.36588, 0.36562, 0.35851, 0.35537, 0.3559, 0.34913, 0.3455, 0.34044, 0.33797, 0.33739, 0.3323, 0.33327,
0.32408, 0.32093, 0.31824, 0.31603, 0.31382, 0.31249, 0.31338, 0.31405, 0.31466, 0.31068, 0.30811, 0.30885, 0.29527, 0.29253, 0.29051, 0.28849, 0.28577, 0.28095, 0.2796, 0.27977, 0.27994, 0.28011, 0.28029,
0.28046, 0.28062, 0.28081, 0.28101, 0.28121, 0.28141, 0.2816, 0.2818, 0.28207, 0.28255, 0.28303, 0.27615, 0.27618, 0.27686, 0.2778, 0.27677, 0.27511, 0.27345, 0.27179, 0.2618, 0.25337, 0.24938, 0.2451,
0.24015, 0.23693, 0.23455, 0.23216, 0.22928, 0.22506, 0.22235, 0.22273, 0.22311, 0.22142, 0.21839, 0.21536, 0.21505, 0.21517, 0.21529, 0.2154, 0.21551, 0.21563, 0.21574, 0.21585, 0.21592, 0.20884, 0.19902,
0.19631, 0.1936, 0.19102, 0.18908, 0.18714, 0.18519, 0.18324, 0.18118, 0.17908, 0.17697, 0.17486, 0.17152, 0.16718, 0.15554, 0.15396, 0.15238, 0.1508, 0.14921, 0.14762, 0.14473, 0.1411, 0.13758, 0.13478,
0.13198, 0.12917, 0.12926, 0.12734, 0.12496, 0.12257, 0.12017, 0.12019, 0.1204, 0.12059, 0.11597, 0.11073, 0.10154, 0.10159, 0.10164, 0.10168, 0.10173, 0.10177, 0.10182, 0.10186, 0.10191, 0.10195, 0.10199,
0.10203, 0.099174, 0.095684, 0.092279, 0.091458, 0.090637, 0.089816, 0.088994, 0.088172, 0.087349, 0.086526, 0.085702, 0.084878, 0.084053, 0.083228, 0.082439, 0.082033, 0.081627, 0.08122, 0.080814, 0.080408, 0.080001, 0.079594,
0.079188, 0.078781, 0.078374, 0.077967, 0.077559, 0.077152, 0.076745, 0.076337, 0.07593, 0.075522, 0.075114, 0.074706, 0.074298, 0.07389, 0.073481, 0.073073, 0.072664, 0.072022, 0.071277, 0.070532, 0.069786, 0.069039, 0.068293,
0.067546, 0.066799, 0.066051, 0.065303, 0.064555, 0.063806, 0.063057, 0.062194, 0.061004, 0.059813, 0.058622, 0.057429, 0.056236, 0.055041, 0.053846, 0.05265, 0.052402, 0.052459, 0.052515, 0.052568, 0.052618, 0.035441, 0.021398,
0.021411, 0.021423, 0.021434, 0.021445, 0.021456, 0.021466, 0.021476, 0.021486, 0.021495, 0.021504, 0.021066, 0.020519, 0.019972, 0.019425, 0.018878, 0.018331, 0.017784, 0.017237, 0.016689, 0.016142, 0.015594, 0.015046, 0.014499,
0.013951, 0.013402, 0.012854, 0.012306, 0.011757, 0.011208, 0.010737, 0.010468, 0.010199, 0.0099299, 0.0096611, 0.0093922, 0.0091233, 0.0088545, 0.0085856, 0.0083167, 0.0080478, 0.007779, 0.0075101, 0.0072412, 0.0069723, 0.0067035, 0.0064346,
0.0061657, 0.0058968, 0.005628, 0.0053591, 0.0050902, 0.0048213, 0.0045525, 0.0042836, 0.0040147, 0.0037459, 0.003477, 0.0032081, 0.0029392, 0.0026704, 0.0024015, 0.0021326, 0.0018637, 0.0015949, 0.001326, 0.0010571, 0.00078824, 0.00051937, 0.0002505,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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([[ 0.037941, 0.037944, 0.042235, 0.046388, 0.049126, 0.050988, 0.052747, 0.054178, 0.056293, 0.057402, 0.058231, 0.059464, 0.060894, 0.0621, 0.063324, 0.064802, 0.066241, 0.067797, 0.069286, 0.070261, 0.07152, 0.072164, 0.073156,
0.073385, 0.074874, 0.076471, 0.077549, 0.078822, 0.0799, 0.081305, 0.082959, 0.084267, 0.085875, 0.087125, 0.088746, 0.090807, 0.092257, 0.094096, 0.095537, 0.09751, 0.098631, 0.099884, 0.10253, 0.10478, 0.10623, 0.10872,
0.11098, 0.11316, 0.11533, 0.11842, 0.12155, 0.12432, 0.12702, 0.12948, 0.13144, 0.13489, 0.13727, 0.1401, 0.14274, 0.14709, 0.1493, 0.15138, 0.15491, 0.15823, 0.1619, 0.16583, 0.16955, 0.17412, 0.17841,
0.18408, 0.18771, 0.19021, 0.19254, 0.19746, 0.20097, 0.20205, 0.2057, 0.20966, 0.21361, 0.21584, 0.21779, 0.2222, 0.22661, 0.23101, 0.23332, 0.2346, 0.23864, 0.24164, 0.24284, 0.24417, 0.24606, 0.24783,
0.2509, 0.25619, 0.25953, 0.26428, 0.26557, 0.26849, 0.27532, 0.27804, 0.28471, 0.28754, 0.29083, 0.29443, 0.29825, 0.30168, 0.30351, 0.30557, 0.30765, 0.31028, 0.31103, 0.31238, 0.31874, 0.32388, 0.33057,
0.3331, 0.33722, 0.33891, 0.33688, 0.33806, 0.3404, 0.34299, 0.34175, 0.34252, 0.34724, 0.34971, 0.35157, 0.35319, 0.35552, 0.35869, 0.3599, 0.36269, 0.36625, 0.37032, 0.37207, 0.37488, 0.37886, 0.38124,
0.38545, 0.38827, 0.39248, 0.39489, 0.39912, 0.40173, 0.40433, 0.40665, 0.41464, 0.41562, 0.41811, 0.42099, 0.42665, 0.4345, 0.4363, 0.44165, 0.4482, 0.45329, 0.45577, 0.45528, 0.45637, 0.45716, 0.45795,
0.45778, 0.4619, 0.46505, 0.46984, 0.47471, 0.47742, 0.48286, 0.48712, 0.4941, 0.49566, 0.49446, 0.49624, 0.50285, 0.50635, 0.51018, 0.51533, 0.51434, 0.52016, 0.52283, 0.52562, 0.53692, 0.53837, 0.54456,
0.54745, 0.54969, 0.55554, 0.55825, 0.55888, 0.55951, 0.56014, 0.56077, 0.56313, 0.56243, 0.56519, 0.57084, 0.57306, 0.57318, 0.57595, 0.57798, 0.57957, 0.58121, 0.58336, 0.58728, 0.58273, 0.58184, 0.58094,
0.57926, 0.57899, 0.58079, 0.57967, 0.58065, 0.58285, 0.58464, 0.58674, 0.58946, 0.59692, 0.59795, 0.60046, 0.60271, 0.60484, 0.60717, 0.60742, 0.61419, 0.6158, 0.61741, 0.6197, 0.62362, 0.62554, 0.62706,
0.62961, 0.63205, 0.63253, 0.63078, 0.63096, 0.63669, 0.63224, 0.63508, 0.6383, 0.64475, 0.64367, 0.6424, 0.64585, 0.65151, 0.65613, 0.65279, 0.65448, 0.65582, 0.655, 0.65419, 0.65542, 0.65815, 0.65625,
0.65117, 0.64297, 0.64016, 0.64353, 0.64305, 0.64555, 0.64314, 0.64227, 0.64139, 0.64052, 0.64517, 0.64984, 0.64656, 0.64943, 0.65237, 0.65548, 0.65684, 0.65534, 0.65216, 0.65588, 0.65284, 0.64952, 0.64802,
0.65309, 0.65759, 0.65705, 0.65504, 0.65339, 0.65144, 0.65572, 0.66635, 0.6646, 0.66292, 0.66182, 0.66073, 0.65964, 0.66426, 0.66087, 0.66439, 0.67172, 0.68402, 0.68918, 0.6869, 0.68738, 0.69512, 0.6982,
0.69151, 0.68951, 0.68411, 0.68286, 0.6816, 0.68034, 0.67172, 0.66509, 0.66291, 0.66002, 0.65786, 0.66238, 0.66598, 0.66943, 0.67044, 0.68615, 0.6811, 0.67836, 0.67445, 0.67628, 0.6822, 0.68086, 0.68911,
0.68238, 0.67985, 0.67767, 0.67585, 0.67403, 0.67513, 0.68349, 0.68991, 0.69583, 0.69471, 0.69658, 0.70415, 0.69463, 0.69229, 0.69055, 0.68881, 0.68645, 0.68215, 0.68229, 0.68436, 0.68643, 0.6885, 0.69057,
0.69264, 0.6947, 0.69699, 0.69945, 0.70192, 0.70438, 0.70685, 0.70931, 0.71279, 0.71901, 0.72523, 0.72142, 0.7296, 0.73912, 0.75277, 0.75511, 0.7538, 0.7525, 0.75119, 0.74304, 0.73579, 0.73223, 0.72834,
0.72373, 0.72065, 0.71832, 0.71599, 0.71312, 0.70879, 0.70847, 0.71633, 0.7242, 0.72538, 0.72227, 0.71916, 0.72102, 0.72363, 0.72625, 0.72887, 0.73148, 0.7341, 0.73672, 0.73933, 0.74189, 0.73466, 0.74894,
0.74603, 0.74311, 0.74032, 0.73809, 0.73586, 0.73363, 0.7314, 0.72891, 0.72633, 0.72374, 0.72115, 0.71684, 0.71113, 0.6948, 0.69237, 0.68995, 0.68753, 0.6851, 0.68268, 0.67794, 0.67192, 0.66603, 0.66096,
0.65589, 0.65082, 0.67882, 0.68043, 0.67595, 0.67147, 0.66699, 0.67882, 0.69193, 0.70503, 0.69689, 0.68666, 0.66846, 0.67256, 0.67666, 0.68076, 0.68486, 0.68896, 0.69306, 0.69716, 0.70126, 0.70536, 0.70946,
0.71356, 0.7078, 0.69991, 0.69223, 0.69009, 0.68794, 0.68579, 0.68365, 0.6815, 0.67936, 0.67721, 0.67506, 0.67292, 0.67077, 0.66863, 0.66656, 0.66532, 0.66407, 0.66283, 0.66159, 0.66035, 0.65911, 0.65786,
0.65662, 0.65538, 0.65414, 0.65289, 0.65165, 0.65041, 0.64917, 0.64792, 0.64668, 0.64544, 0.6442, 0.64296, 0.64171, 0.64047, 0.63923, 0.63799, 0.63674, 0.63449, 0.63178, 0.62907, 0.62637, 0.62366, 0.62096,
0.61825, 0.61554, 0.61284, 0.61013, 0.60742, 0.60472, 0.60201, 0.59866, 0.59343, 0.5882, 0.58298, 0.57775, 0.57252, 0.5673, 0.56207, 0.55684, 0.56599, 0.57982, 0.59365, 0.60748, 0.62132, 0.52414, 0.40539,
0.41467, 0.42395, 0.43323, 0.44251, 0.45179, 0.46107, 0.47034, 0.47962, 0.4889, 0.49818, 0.49314, 0.4846, 0.47607, 0.46753, 0.459, 0.45046, 0.44193, 0.43339, 0.42486, 0.41632, 0.40779, 0.39925, 0.39072,
0.38218, 0.37365, 0.36512, 0.35658, 0.34805, 0.33951, 0.33104, 0.32275, 0.31446, 0.30617, 0.29788, 0.28959, 0.2813, 0.27301, 0.26472, 0.25643, 0.24814, 0.23985, 0.23156, 0.22327, 0.21498, 0.20669, 0.1984,
0.19011, 0.18182, 0.17353, 0.16524, 0.15695, 0.14866, 0.14037, 0.13208, 0.12379, 0.1155, 0.10721, 0.098917, 0.090626, 0.082336, 0.074046, 0.065756, 0.057465, 0.049175, 0.040885, 0.032594, 0.024304, 0.016014, 0.0077237,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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]]), '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([[ 0.86264, 0.86264, 0.85714, 0.85714, 0.85714, 0.85714, 0.85714, 0.85165, 0.85165, 0.84066, 0.82967, 0.82418, 0.81868, 0.81868, 0.81319, 0.81319, 0.81319, 0.81319, 0.81319, 0.80769, 0.8022, 0.7967, 0.79121,
0.78022, 0.78022, 0.78022, 0.78022, 0.76923, 0.76923, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.76374, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75824, 0.75275, 0.75275,
0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.75275, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725,
0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74725, 0.74558, 0.74176, 0.74176, 0.74176, 0.74176, 0.74176, 0.74176, 0.74176, 0.74058, 0.73077, 0.72527, 0.72527, 0.72527,
0.72527, 0.72527, 0.72527, 0.72527, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71978, 0.71429, 0.71429, 0.71429, 0.71429,
0.71429, 0.71429, 0.70879, 0.69505, 0.69231, 0.69231, 0.69128, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68681, 0.68132, 0.67582, 0.67582, 0.67582, 0.67582, 0.67582, 0.67582, 0.67582,
0.67582, 0.67582, 0.67582, 0.67582, 0.67582, 0.67033, 0.67033, 0.67033, 0.67033, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.66484, 0.6613, 0.65934, 0.65934, 0.65934,
0.65385, 0.65385, 0.64835, 0.64286, 0.64286, 0.64286, 0.64286, 0.63187, 0.63187, 0.63179, 0.62637, 0.62637, 0.62245, 0.62088, 0.61538, 0.61538, 0.60517, 0.5989, 0.5989, 0.5989, 0.59884, 0.59341, 0.58791,
0.58791, 0.58791, 0.58375, 0.58242, 0.58242, 0.58242, 0.58242, 0.58242, 0.58076, 0.57692, 0.57692, 0.57692, 0.57526, 0.57143, 0.57143, 0.57143, 0.57143, 0.57143, 0.57143, 0.57075, 0.56015, 0.5581, 0.55605,
0.55223, 0.54945, 0.54945, 0.54559, 0.54396, 0.54396, 0.54396, 0.54396, 0.54396, 0.54396, 0.53846, 0.53846, 0.53846, 0.53846, 0.53846, 0.53559, 0.53297, 0.53297, 0.53297, 0.53297, 0.53297, 0.52318, 0.52198,
0.52198, 0.52198, 0.52018, 0.51629, 0.51099, 0.51033, 0.50065, 0.49451, 0.49451, 0.48901, 0.48635, 0.48364, 0.48352, 0.48352, 0.48352, 0.47521, 0.47253, 0.47113, 0.46944, 0.46775, 0.46703, 0.46703, 0.46154,
0.44104, 0.4255, 0.41758, 0.41758, 0.41209, 0.4103, 0.406, 0.40446, 0.40293, 0.4014, 0.4011, 0.3977, 0.39011, 0.39011, 0.39011, 0.39011, 0.38914, 0.38656, 0.38118, 0.37912, 0.37199, 0.36658, 0.36418,
0.36264, 0.36264, 0.35792, 0.35475, 0.35217, 0.34615, 0.34536, 0.34018, 0.33752, 0.33498, 0.33336, 0.33173, 0.33011, 0.32967, 0.31868, 0.31868, 0.31868, 0.31868, 0.31678, 0.31342, 0.30769, 0.30769, 0.30508,
0.2956, 0.29286, 0.28558, 0.28395, 0.28231, 0.28067, 0.26984, 0.26189, 0.25934, 0.25602, 0.25275, 0.25275, 0.25197, 0.24481, 0.24176, 0.24026, 0.23472, 0.23177, 0.22768, 0.22527, 0.22412, 0.21978, 0.21978,
0.2125, 0.21004, 0.20795, 0.20623, 0.20452, 0.2033, 0.2033, 0.2033, 0.2033, 0.20008, 0.1978, 0.1978, 0.18749, 0.18544, 0.18395, 0.18245, 0.18045, 0.1769, 0.17582, 0.17582, 0.17582, 0.17582, 0.17582,
0.17582, 0.17582, 0.17582, 0.17582, 0.17582, 0.17582, 0.17582, 0.17582, 0.17582, 0.17582, 0.17582, 0.17076, 0.17033, 0.17033, 0.17033, 0.16944, 0.16826, 0.16708, 0.16591, 0.15889, 0.15304, 0.15028, 0.14734,
0.14396, 0.14177, 0.14016, 0.13854, 0.1366, 0.13377, 0.13187, 0.13187, 0.13187, 0.13065, 0.12864, 0.12664, 0.12637, 0.12637, 0.12637, 0.12637, 0.12637, 0.12637, 0.12637, 0.12637, 0.12635, 0.12172, 0.11476,
0.11303, 0.1113, 0.10966, 0.10843, 0.1072, 0.10597, 0.10474, 0.10345, 0.10213, 0.10081, 0.09949, 0.097412, 0.094724, 0.087573, 0.08661, 0.085647, 0.084685, 0.083722, 0.082759, 0.08101, 0.078829, 0.076712, 0.075041,
0.07337, 0.071699, 0.071429, 0.070246, 0.068843, 0.06744, 0.066036, 0.065934, 0.065934, 0.065934, 0.063246, 0.060218, 0.054945, 0.054945, 0.054945, 0.054945, 0.054945, 0.054945, 0.054945, 0.054945, 0.054945, 0.054945, 0.054945,
0.054945, 0.053323, 0.051352, 0.049434, 0.048975, 0.048515, 0.048055, 0.047595, 0.047135, 0.046675, 0.046215, 0.045756, 0.045296, 0.044836, 0.044376, 0.043936, 0.043711, 0.043486, 0.043261, 0.043035, 0.04281, 0.042585, 0.04236,
0.042135, 0.041909, 0.041684, 0.041459, 0.041234, 0.041008, 0.040783, 0.040558, 0.040333, 0.040107, 0.039882, 0.039657, 0.039432, 0.039206, 0.038981, 0.038756, 0.038531, 0.038178, 0.037769, 0.03736, 0.036951, 0.036542, 0.036133,
0.035725, 0.035316, 0.034907, 0.034498, 0.034089, 0.03368, 0.033271, 0.032801, 0.032155, 0.031509, 0.030862, 0.030216, 0.02957, 0.028924, 0.028278, 0.027631, 0.027473, 0.027473, 0.027473, 0.027473, 0.027473, 0.018341, 0.010989,
0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010989, 0.010763, 0.010481, 0.0102, 0.0099186, 0.0096373, 0.0093559, 0.0090745, 0.0087932, 0.0085118, 0.0082304, 0.0079491, 0.0076677, 0.0073864,
0.007105, 0.0068236, 0.0065423, 0.0062609, 0.0059795, 0.0056982, 0.0054568, 0.0053201, 0.0051835, 0.0050468, 0.0049102, 0.0047735, 0.0046369, 0.0045002, 0.0043635, 0.0042269, 0.0040902, 0.0039536, 0.0038169, 0.0036803, 0.0035436, 0.003407, 0.0032703,
0.0031337, 0.002997, 0.0028604, 0.0027237, 0.0025871, 0.0024504, 0.0023138, 0.0021771, 0.0020405, 0.0019038, 0.0017671, 0.0016305, 0.0014938, 0.0013572, 0.0012205, 0.0010839, 0.00094723, 0.00081058, 0.00067392, 0.00053727, 0.00040062, 0.00026397, 0.00012731,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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: 0.1615715338342652
keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']
maps: array([ 0.12615])
names: {0: 'microglia'}
plot: True
results_dict: {'metrics/precision(B)': 0.5833615380178367, 'metrics/recall(B)': 0.5714285714285714, 'metrics/mAP50(B)': 0.48036062460360063, 'metrics/mAP50-95(B)': 0.12615052374878347, 'fitness': 0.1615715338342652}
save_dir: PosixPath('runs/detect/train302')
speed: {'preprocess': 0.4967848459879557, 'inference': 6.910037994384766, 'loss': 0.0004927317301432292, 'postprocess': 1.1267662048339844}
task: 'detect'