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atticus-carter
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SHR_DSCAM

Object Detection
TensorBoard
biology
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2
atticus-carter commited on
Commit
fd53896
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1 Parent(s): 5aca266

V2

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Added in synthetic crabs to bolster class, removed clams.

Files changed (21) hide show
  1. F1_curve.png +0 -0
  2. PR_curve.png +0 -0
  3. P_curve.png +0 -0
  4. R_curve.png +0 -0
  5. args.yaml +10 -11
  6. best.pt +2 -2
  7. confusion_matrix.png +0 -0
  8. confusion_matrix_normalized.png +0 -0
  9. labels.jpg +0 -0
  10. labels_correlogram.jpg +0 -0
  11. results.csv +137 -101
  12. results.png +0 -0
  13. train_batch0.jpg +0 -0
  14. train_batch1.jpg +0 -0
  15. train_batch2.jpg +0 -0
  16. val_batch0_labels.jpg +0 -0
  17. val_batch0_pred.jpg +0 -0
  18. val_batch1_labels.jpg +0 -0
  19. val_batch1_pred.jpg +0 -0
  20. val_batch2_labels.jpg +0 -0
  21. val_batch2_pred.jpg +0 -0
F1_curve.png CHANGED
PR_curve.png CHANGED
P_curve.png CHANGED
R_curve.png CHANGED
args.yaml CHANGED
@@ -1,22 +1,22 @@
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  task: detect
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  mode: train
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- model: weights\mbari_315k_yolov8.pt
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- data: C:\Users\PC\Desktop\YOLOv11Experiments\data.yaml
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- epochs: 100
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  time: null
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- patience: 100
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  batch: 8
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  imgsz: 1024
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  save: true
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- device: 0
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  workers: 8
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- project: null
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- name: train12
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  exist_ok: false
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  pretrained: true
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- optimizer: auto
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  verbose: true
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  seed: 0
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  deterministic: true
@@ -66,7 +66,7 @@ keras: false
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  optimize: false
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  int8: false
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  dynamic: false
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- simplify: true
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  opset: null
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  workspace: 4
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  nms: false
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- copy_paste_mode: flip
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  auto_augment: randaugment
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  erasing: 0.4
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  crop_fraction: 1.0
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  cfg: null
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  tracker: botsort.yaml
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- save_dir: runs\detect\train12
 
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  task: detect
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  mode: train
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+ model: C:\Users\Student\Documents\SHR_Digital_Still_Camera\Models\mbari_315k_yolov8.pt
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+ data: C:\Users\Student\Documents\SHR_Digital_Still_Camera\shr.v3i.yolov11\data.yaml
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+ epochs: 200
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  time: null
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+ patience: 50
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  batch: 8
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  imgsz: 1024
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  save: true
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  save_period: -1
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  cache: false
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+ device: '0'
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  workers: 8
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+ project: finetune_yolov8
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+ name: shr_finetune2
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  exist_ok: false
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  pretrained: true
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+ optimizer: AdamW
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  verbose: true
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  seed: 0
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  deterministic: true
 
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  optimize: false
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  int8: false
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  dynamic: false
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+ simplify: false
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  opset: null
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  workspace: 4
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  nms: false
 
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  mixup: 0.0
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  copy_paste: 0.0
 
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  auto_augment: randaugment
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  erasing: 0.4
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  crop_fraction: 1.0
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  cfg: null
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  tracker: botsort.yaml
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+ save_dir: finetune_yolov8\shr_finetune2
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81
- 80,8683.79,0.62517,0.37837,0.83279,0.56272,0.45749,0.47006,0.30568,1.04558,0.88972,1.03224,0.000136187,0.000136187,0.000136187
82
- 81,8787.7,0.63096,0.38184,0.83173,0.55008,0.48527,0.45776,0.30897,1.05123,0.90841,1.03791,0.00013,0.00013,0.00013
83
- 82,8895.23,0.60506,0.36128,0.82841,0.52426,0.50828,0.45861,0.30011,1.05022,0.88346,1.03498,0.000123812,0.000123812,0.000123812
84
- 83,9010.06,0.60564,0.35822,0.8313,0.52306,0.50123,0.45091,0.29763,1.06178,0.90236,1.039,0.000117625,0.000117625,0.000117625
85
- 84,9121.06,0.6049,0.36118,0.82645,0.5175,0.49666,0.4613,0.31017,1.02646,0.91453,1.03194,0.000111438,0.000111438,0.000111438
86
- 85,9229.04,0.61357,0.35992,0.83311,0.55992,0.47557,0.48319,0.32492,1.03388,0.88993,1.03711,0.00010525,0.00010525,0.00010525
87
- 86,9336.22,0.58726,0.34306,0.82492,0.50953,0.53474,0.47553,0.31042,1.04429,0.90144,1.03882,9.90625e-05,9.90625e-05,9.90625e-05
88
- 87,9442.74,0.57198,0.34289,0.81923,0.56836,0.41648,0.45576,0.30538,1.03854,0.92671,1.03411,9.2875e-05,9.2875e-05,9.2875e-05
89
- 88,9548.9,0.57508,0.34653,0.82712,0.58413,0.41045,0.45618,0.3062,1.03163,0.93659,1.03568,8.66875e-05,8.66875e-05,8.66875e-05
90
- 89,9657.32,0.57346,0.34311,0.82441,0.55602,0.45267,0.44288,0.28769,1.01768,0.92053,1.02939,8.05e-05,8.05e-05,8.05e-05
91
- 90,9766.61,0.58041,0.34074,0.82452,0.57927,0.43792,0.45887,0.30062,1.02556,0.92614,1.03112,7.43125e-05,7.43125e-05,7.43125e-05
92
- 91,9915.52,0.58314,0.33542,0.82917,0.52423,0.48935,0.45269,0.29678,1.02662,0.8966,1.03941,6.8125e-05,6.8125e-05,6.8125e-05
93
- 92,10021,0.56759,0.31899,0.82601,0.51428,0.49355,0.46115,0.29402,1.03669,0.93632,1.04159,6.19375e-05,6.19375e-05,6.19375e-05
94
- 93,10129.3,0.56646,0.32619,0.82982,0.54611,0.46997,0.44908,0.28807,1.02901,0.93228,1.0429,5.575e-05,5.575e-05,5.575e-05
95
- 94,10238.5,0.55012,0.31379,0.82112,0.52272,0.49151,0.45386,0.29141,1.02319,0.94358,1.03952,4.95625e-05,4.95625e-05,4.95625e-05
96
- 95,10347.5,0.55412,0.31837,0.82217,0.55956,0.47055,0.45769,0.29732,1.02176,0.91818,1.03699,4.3375e-05,4.3375e-05,4.3375e-05
97
- 96,10456.7,0.55207,0.31111,0.82409,0.52658,0.49901,0.45832,0.29478,1.03192,0.92194,1.03775,3.71875e-05,3.71875e-05,3.71875e-05
98
- 97,10566,0.56927,0.32914,0.83028,0.54481,0.47836,0.44808,0.29117,1.02133,0.93529,1.03631,3.1e-05,3.1e-05,3.1e-05
99
- 98,10675,0.53853,0.31109,0.81949,0.53986,0.47824,0.44526,0.2894,1.02059,0.92351,1.03848,2.48125e-05,2.48125e-05,2.48125e-05
100
- 99,10784.4,0.54547,0.30569,0.82215,0.52909,0.48726,0.44541,0.2886,1.02888,0.94588,1.03836,1.8625e-05,1.8625e-05,1.8625e-05
101
- 100,10893.5,0.5324,0.29554,0.81966,0.54334,0.48452,0.4497,0.29173,1.0158,0.92282,1.0378,1.24375e-05,1.24375e-05,1.24375e-05
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch, train/box_loss, train/cls_loss, train/dfl_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/box_loss, val/cls_loss, val/dfl_loss, lr/pg0, lr/pg1, lr/pg2
2
+ 1, 1.7552, 2.0026, 1.3356, 0.01226, 0.0106, 0.00322, 0.00226, nan, nan, nan, 0.070172, 0.0033142, 0.0033142
3
+ 2, 1.8546, 1.7253, 1.429, 0.6873, 0.07899, 0.1187, 0.05319, 1.9908, 2.3162, 1.5645, 0.04014, 0.0066146, 0.0066146
4
+ 3, 1.8022, 1.5872, 1.3928, 0.42214, 0.10461, 0.16785, 0.078, 1.7718, 1.8533, 1.3711, 0.010074, 0.009882, 0.009882
5
+ 4, 1.7094, 1.4886, 1.3457, 0.24554, 0.25377, 0.18075, 0.08847, 1.5879, 1.6733, 1.2745, 0.0098515, 0.0098515, 0.0098515
6
+ 5, 1.645, 1.3921, 1.2967, 0.38884, 0.30731, 0.22617, 0.08516, 1.6049, 1.4439, 1.2733, 0.009802, 0.009802, 0.009802
7
+ 6, 1.632, 1.3624, 1.2841, 0.27732, 0.23912, 0.22122, 0.10921, 1.5283, 1.2328, 1.2408, 0.0097525, 0.0097525, 0.0097525
8
+ 7, 1.593, 1.289, 1.2645, 0.35444, 0.25118, 0.21636, 0.11193, 1.5037, 1.2079, 1.243, 0.009703, 0.009703, 0.009703
9
+ 8, 1.5609, 1.204, 1.2668, 0.43334, 0.41496, 0.28575, 0.12437, 1.5044, 1.1609, 1.227, 0.0096535, 0.0096535, 0.0096535
10
+ 9, 1.5543, 1.2062, 1.2482, 0.43295, 0.35933, 0.28497, 0.12642, 1.4767, 1.1027, 1.2142, 0.009604, 0.009604, 0.009604
11
+ 10, 1.5371, 1.2157, 1.2591, 0.41972, 0.3378, 0.25509, 0.12801, 1.4621, 1.0987, 1.1898, 0.0095545, 0.0095545, 0.0095545
12
+ 11, 1.5143, 1.1789, 1.2372, 0.47249, 0.32202, 0.28611, 0.13393, 1.5148, 1.2708, 1.2434, 0.009505, 0.009505, 0.009505
13
+ 12, 1.514, 1.1978, 1.2472, 0.55352, 0.33309, 0.35041, 0.16644, 1.4237, 1.0687, 1.1918, 0.0094555, 0.0094555, 0.0094555
14
+ 13, 1.4987, 1.1503, 1.2406, 0.70752, 0.35008, 0.36995, 0.16926, 1.4478, 1.1072, 1.1888, 0.009406, 0.009406, 0.009406
15
+ 14, 1.4814, 1.1246, 1.222, 0.50614, 0.48304, 0.42847, 0.20083, 1.4085, 0.98462, 1.175, 0.0093565, 0.0093565, 0.0093565
16
+ 15, 1.447, 1.1074, 1.2189, 0.64723, 0.3339, 0.44517, 0.20661, 1.3856, 1.014, 1.1678, 0.009307, 0.009307, 0.009307
17
+ 16, 1.4161, 1.0651, 1.191, 0.62829, 0.31266, 0.39152, 0.20317, 1.4486, 0.97211, 1.1805, 0.0092575, 0.0092575, 0.0092575
18
+ 17, 1.4125, 1.0213, 1.183, 0.7369, 0.35424, 0.45115, 0.2166, 1.3896, 0.98228, 1.1684, 0.009208, 0.009208, 0.009208
19
+ 18, 1.4058, 1.0319, 1.1968, 0.6188, 0.37799, 0.47169, 0.24456, 1.3601, 0.97665, 1.1506, 0.0091585, 0.0091585, 0.0091585
20
+ 19, 1.4018, 1.0241, 1.1959, 0.53554, 0.46699, 0.43071, 0.22667, 1.4776, 0.96696, 1.1977, 0.009109, 0.009109, 0.009109
21
+ 20, 1.4232, 1.048, 1.2139, 0.39176, 0.38934, 0.36887, 0.1932, 1.3184, 0.97391, 1.1377, 0.0090595, 0.0090595, 0.0090595
22
+ 21, 1.3926, 1.0071, 1.1663, 0.50327, 0.34855, 0.38514, 0.19427, 1.4278, 1.0982, 1.1608, 0.00901, 0.00901, 0.00901
23
+ 22, 1.3855, 1.0233, 1.1655, 0.57604, 0.54437, 0.53571, 0.29549, 1.3316, 0.90295, 1.1453, 0.0089605, 0.0089605, 0.0089605
24
+ 23, 1.36, 0.99989, 1.1555, 0.6323, 0.42691, 0.44635, 0.23137, 1.3102, 0.93591, 1.1284, 0.008911, 0.008911, 0.008911
25
+ 24, 1.3158, 0.96516, 1.1459, 0.68155, 0.45849, 0.45027, 0.2287, 1.3409, 0.9606, 1.1418, 0.0088615, 0.0088615, 0.0088615
26
+ 25, 1.3555, 1.0097, 1.1614, 0.67172, 0.40058, 0.48408, 0.25886, 1.2961, 0.93054, 1.1287, 0.008812, 0.008812, 0.008812
27
+ 26, 1.3258, 0.93847, 1.1473, 0.58937, 0.44456, 0.44019, 0.24373, 1.2871, 0.90858, 1.1277, 0.0087625, 0.0087625, 0.0087625
28
+ 27, 1.3004, 0.9308, 1.139, 0.70201, 0.37698, 0.42049, 0.22412, 1.3839, 0.93786, 1.1518, 0.008713, 0.008713, 0.008713
29
+ 28, 1.3123, 0.92517, 1.1373, 0.5536, 0.55057, 0.53138, 0.26836, 1.2998, 0.88883, 1.1205, 0.0086635, 0.0086635, 0.0086635
30
+ 29, 1.2961, 0.90203, 1.1186, 0.54352, 0.53819, 0.51639, 0.26967, 1.3741, 0.93602, 1.1455, 0.008614, 0.008614, 0.008614
31
+ 30, 1.2869, 0.91406, 1.1152, 0.54733, 0.57148, 0.53838, 0.30909, 1.2761, 0.88295, 1.1189, 0.0085645, 0.0085645, 0.0085645
32
+ 31, 1.2948, 0.90926, 1.131, 0.51064, 0.54472, 0.51565, 0.29183, 1.3207, 0.8808, 1.1219, 0.008515, 0.008515, 0.008515
33
+ 32, 1.3129, 0.91082, 1.141, 0.60802, 0.5626, 0.56134, 0.31565, 1.2926, 0.88874, 1.1356, 0.0084655, 0.0084655, 0.0084655
34
+ 33, 1.2769, 0.89351, 1.1309, 0.65817, 0.45508, 0.53894, 0.30905, 1.2547, 0.85788, 1.1081, 0.008416, 0.008416, 0.008416
35
+ 34, 1.2526, 0.87824, 1.1078, 0.70567, 0.36123, 0.50926, 0.27719, 1.2752, 0.89353, 1.1178, 0.0083665, 0.0083665, 0.0083665
36
+ 35, 1.2753, 0.88994, 1.1155, 0.47708, 0.49191, 0.46549, 0.26721, 1.2761, 0.89998, 1.1065, 0.008317, 0.008317, 0.008317
37
+ 36, 1.2673, 0.88235, 1.1232, 0.5876, 0.56895, 0.55011, 0.29732, 1.2736, 0.84562, 1.1151, 0.0082675, 0.0082675, 0.0082675
38
+ 37, 1.2608, 0.87493, 1.0981, 0.67737, 0.38422, 0.54398, 0.30387, 1.2489, 0.86194, 1.1074, 0.008218, 0.008218, 0.008218
39
+ 38, 1.2192, 0.85064, 1.0852, 0.58144, 0.50905, 0.51994, 0.27225, 1.2672, 0.86309, 1.1114, 0.0081685, 0.0081685, 0.0081685
40
+ 39, 1.2392, 0.84767, 1.107, 0.5699, 0.6077, 0.55744, 0.3087, 1.2772, 0.83061, 1.1144, 0.008119, 0.008119, 0.008119
41
+ 40, 1.231, 0.83892, 1.1091, 0.62114, 0.54105, 0.52235, 0.28252, 1.2765, 0.894, 1.113, 0.0080695, 0.0080695, 0.0080695
42
+ 41, 1.2523, 0.84817, 1.1123, 0.5957, 0.5356, 0.52625, 0.30303, 1.2831, 0.85954, 1.1161, 0.00802, 0.00802, 0.00802
43
+ 42, 1.2284, 0.82876, 1.0866, 0.52664, 0.72664, 0.6362, 0.35667, 1.2754, 0.84967, 1.1059, 0.0079705, 0.0079705, 0.0079705
44
+ 43, 1.2046, 0.8194, 1.0936, 0.61654, 0.5835, 0.565, 0.3307, 1.2124, 0.81843, 1.0896, 0.007921, 0.007921, 0.007921
45
+ 44, 1.1915, 0.79883, 1.0816, 0.40273, 0.64205, 0.54551, 0.30315, 1.2375, 0.84183, 1.1043, 0.0078715, 0.0078715, 0.0078715
46
+ 45, 1.2098, 0.84557, 1.0904, 0.5397, 0.51184, 0.58636, 0.30821, 1.2441, 0.8287, 1.1059, 0.007822, 0.007822, 0.007822
47
+ 46, 1.224, 0.80713, 1.1004, 0.42346, 0.67464, 0.60549, 0.34422, 1.2513, 0.81403, 1.1001, 0.0077725, 0.0077725, 0.0077725
48
+ 47, 1.1638, 0.77172, 1.0687, 0.49028, 0.72772, 0.6762, 0.3648, 1.2494, 0.82714, 1.1057, 0.007723, 0.007723, 0.007723
49
+ 48, 1.2071, 0.80138, 1.0884, 0.55422, 0.58873, 0.593, 0.32344, 1.2424, 0.82303, 1.1022, 0.0076735, 0.0076735, 0.0076735
50
+ 49, 1.1675, 0.79858, 1.0704, 0.5752, 0.52206, 0.5654, 0.30694, 1.2397, 0.84483, 1.1086, 0.007624, 0.007624, 0.007624
51
+ 50, 1.1973, 0.799, 1.0766, 0.45295, 0.56497, 0.5678, 0.333, 1.2451, 0.82162, 1.1056, 0.0075745, 0.0075745, 0.0075745
52
+ 51, 1.1915, 0.78856, 1.0716, 0.63256, 0.51913, 0.5664, 0.31116, 1.3241, 0.84614, 1.1166, 0.007525, 0.007525, 0.007525
53
+ 52, 1.1821, 0.77466, 1.0755, 0.4561, 0.60943, 0.54805, 0.31936, 1.2352, 0.78717, 1.101, 0.0074755, 0.0074755, 0.0074755
54
+ 53, 1.1579, 0.77357, 1.0583, 0.50369, 0.67254, 0.63084, 0.37183, 1.2265, 0.79637, 1.1035, 0.007426, 0.007426, 0.007426
55
+ 54, 1.1762, 0.80057, 1.0878, 0.49763, 0.70492, 0.61854, 0.35184, 1.2448, 0.81548, 1.095, 0.0073765, 0.0073765, 0.0073765
56
+ 55, 1.1421, 0.76973, 1.0535, 0.57233, 0.55037, 0.57975, 0.33683, 1.2865, 0.81933, 1.1155, 0.007327, 0.007327, 0.007327
57
+ 56, 1.1443, 0.75642, 1.0571, 0.59429, 0.61699, 0.57387, 0.33333, 1.2447, 0.79711, 1.1091, 0.0072775, 0.0072775, 0.0072775
58
+ 57, 1.1671, 0.75682, 1.0695, 0.52788, 0.65043, 0.61661, 0.33234, 1.2556, 0.8081, 1.1088, 0.007228, 0.007228, 0.007228
59
+ 58, 1.1815, 0.7784, 1.0961, 0.67066, 0.60178, 0.58328, 0.30396, 1.2878, 0.82087, 1.1111, 0.0071785, 0.0071785, 0.0071785
60
+ 59, 1.1425, 0.74246, 1.0711, 0.51485, 0.7076, 0.61416, 0.3283, 1.2193, 0.78721, 1.0932, 0.007129, 0.007129, 0.007129
61
+ 60, 1.1249, 0.74474, 1.0512, 0.40087, 0.54432, 0.47503, 0.26421, 1.2568, 0.82898, 1.1058, 0.0070795, 0.0070795, 0.0070795
62
+ 61, 1.1328, 0.74895, 1.076, 0.50075, 0.50791, 0.42587, 0.24005, 1.2439, 19.893, 1.1001, 0.00703, 0.00703, 0.00703
63
+ 62, 1.1389, 0.75159, 1.0662, 0.5332, 0.50173, 0.56256, 0.31397, 1.2429, 0.80961, 1.1046, 0.0069805, 0.0069805, 0.0069805
64
+ 63, 1.1394, 0.74639, 1.0455, 0.57476, 0.50397, 0.56703, 0.33002, 1.2378, 0.80839, 1.0942, 0.006931, 0.006931, 0.006931
65
+ 64, 1.1128, 0.75019, 1.0451, 0.65422, 0.51556, 0.60696, 0.33565, 1.2353, 0.80133, 1.099, 0.0068815, 0.0068815, 0.0068815
66
+ 65, 1.1053, 0.7223, 1.0379, 0.60974, 0.54499, 0.52821, 0.29648, 1.2933, 0.80211, 1.125, 0.006832, 0.006832, 0.006832
67
+ 66, 1.1081, 0.72324, 1.0355, 0.43963, 0.62592, 0.56989, 0.30476, 1.2922, 0.83737, 1.1229, 0.0067825, 0.0067825, 0.0067825
68
+ 67, 1.0925, 0.69446, 1.059, 0.61472, 0.57925, 0.54701, 0.3249, 1.2163, 0.79369, 1.0922, 0.006733, 0.006733, 0.006733
69
+ 68, 1.0959, 0.70989, 1.0402, 0.48325, 0.61893, 0.54076, 0.30888, 1.2449, 0.79385, 1.0987, 0.0066835, 0.0066835, 0.0066835
70
+ 69, 1.0896, 0.71343, 1.0317, 0.6412, 0.60326, 0.59862, 0.3484, 1.2681, 0.80625, 1.1115, 0.006634, 0.006634, 0.006634
71
+ 70, 1.111, 0.7199, 1.0502, 0.37513, 0.55379, 0.49438, 0.28064, 1.2224, 0.78302, 1.0912, 0.0065845, 0.0065845, 0.0065845
72
+ 71, 1.0822, 0.6984, 1.04, 0.4368, 0.5318, 0.47552, 0.26263, 1.2467, 0.80801, 1.0985, 0.006535, 0.006535, 0.006535
73
+ 72, 1.0501, 0.6744, 1.0112, 0.63085, 0.53632, 0.5726, 0.33967, 1.2258, 0.77165, 1.0956, 0.0064855, 0.0064855, 0.0064855
74
+ 73, 1.0682, 0.6879, 1.0302, 0.53351, 0.6267, 0.56826, 0.33648, 1.2197, 0.76545, 1.0963, 0.006436, 0.006436, 0.006436
75
+ 74, 1.0768, 0.69483, 1.031, 0.57734, 0.53595, 0.61521, 0.35269, 1.2398, 0.80685, 1.1006, 0.0063865, 0.0063865, 0.0063865
76
+ 75, 1.0861, 0.69619, 1.0216, 0.42051, 0.6962, 0.53307, 0.31195, 1.2594, 0.80045, 1.107, 0.006337, 0.006337, 0.006337
77
+ 76, 1.0459, 0.67209, 1.0278, 0.5581, 0.54219, 0.59301, 0.34129, 1.2313, 0.7857, 1.101, 0.0062875, 0.0062875, 0.0062875
78
+ 77, 1.1029, 0.69235, 1.0523, 0.50025, 0.5776, 0.58315, 0.3355, 1.2182, 0.76411, 1.1022, 0.006238, 0.006238, 0.006238
79
+ 78, 1.0442, 0.68131, 1.0176, 0.62569, 0.54078, 0.56703, 0.30416, 1.2678, 0.78223, 1.1173, 0.0061885, 0.0061885, 0.0061885
80
+ 79, 1.0545, 0.66727, 1.0162, 0.59678, 0.62913, 0.64941, 0.35691, 1.2249, 0.77146, 1.0988, 0.006139, 0.006139, 0.006139
81
+ 80, 1.0292, 0.65614, 1.0132, 0.53477, 0.69357, 0.63096, 0.35218, 1.217, 0.75866, 1.0992, 0.0060895, 0.0060895, 0.0060895
82
+ 81, 1.0164, 0.64333, 1.0088, 0.55578, 0.61834, 0.61446, 0.34874, 1.2487, 0.78001, 1.1065, 0.00604, 0.00604, 0.00604
83
+ 82, 1.044, 0.66374, 1.0137, 0.69703, 0.50415, 0.58744, 0.352, 1.2732, 0.79319, 1.1083, 0.0059905, 0.0059905, 0.0059905
84
+ 83, 1.0367, 0.66136, 1.008, 0.58235, 0.55304, 0.55802, 0.32354, 1.2617, 0.7755, 1.1093, 0.005941, 0.005941, 0.005941
85
+ 84, 1.035, 0.64782, 1.0087, 0.51594, 0.6009, 0.5767, 0.34088, 1.2482, 0.79587, 1.1043, 0.0058915, 0.0058915, 0.0058915
86
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87
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88
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89
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90
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91
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92
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93
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94
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95
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96
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97
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98
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99
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100
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101
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102
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103
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104
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105
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106
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107
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108
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109
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110
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111
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112
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113
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114
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115
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116
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117
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118
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119
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120
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121
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122
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123
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124
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125
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126
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127
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128
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129
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130
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131
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132
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133
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134
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135
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136
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137
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