Upload 9 files
Browse files- .gitattributes +5 -0
- flejes-13/runs/detect/train/args.yaml +98 -0
- flejes-13/runs/detect/train/labels.jpg +3 -0
- flejes-13/runs/detect/train/labels_correlogram.jpg +3 -0
- flejes-13/runs/detect/train/results.csv +55 -0
- flejes-13/runs/detect/train/train_batch0.jpg +3 -0
- flejes-13/runs/detect/train/train_batch1.jpg +3 -0
- flejes-13/runs/detect/train/train_batch2.jpg +3 -0
- flejes-13/runs/detect/train/weights/best.pt +3 -0
- flejes-13/runs/detect/train/weights/last.pt +3 -0
.gitattributes
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@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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flejes-13/runs/detect/train/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-13/runs/detect/train/labels.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-13/runs/detect/train/train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-13/runs/detect/train/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-13/runs/detect/train/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-13/runs/detect/train/args.yaml
ADDED
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task: detect
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mode: train
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model: yolov8m.pt
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data: /home/ec2-user/SageMaker/datasets/flejes-13/data.yaml
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epochs: 300
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patience: 50
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batch: 4
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imgsz: 1280
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save: true
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save_period: -1
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cache: false
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device: null
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workers: 8
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project: null
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name: null
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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
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single_cls: false
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rect: false
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cos_lr: false
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close_mosaic: 10
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resume: false
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amp: true
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fraction: 1.0
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profile: false
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freeze: null
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overlap_mask: true
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mask_ratio: 4
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dropout: 0.0
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val: true
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split: val
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save_json: false
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save_hybrid: false
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conf: null
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iou: 0.7
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max_det: 300
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half: false
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dnn: false
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plots: true
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source: null
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show: false
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save_txt: false
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save_conf: false
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save_crop: false
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show_labels: true
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show_conf: true
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vid_stride: 1
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stream_buffer: false
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line_width: null
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visualize: false
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augment: false
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agnostic_nms: false
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classes: null
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retina_masks: false
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boxes: true
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format: torchscript
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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: false
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opset: null
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workspace: 4
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nms: false
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lr0: 0.01
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lrf: 0.01
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momentum: 0.937
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weight_decay: 0.0005
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warmup_epochs: 3.0
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warmup_momentum: 0.8
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warmup_bias_lr: 0.1
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box: 7.5
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cls: 0.5
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dfl: 1.5
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pose: 12.0
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kobj: 1.0
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label_smoothing: 0.0
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nbs: 64
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hsv_h: 0.015
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hsv_s: 0.7
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hsv_v: 0.4
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degrees: 0.0
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translate: 0.1
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scale: 0.5
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shear: 0.0
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perspective: 0.0
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flipud: 0.0
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fliplr: 0.5
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mosaic: 1.0
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mixup: 0.0
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copy_paste: 0.0
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cfg: null
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tracker: botsort.yaml
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save_dir: runs/detect/train
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flejes-13/runs/detect/train/labels.jpg
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Git LFS Details
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flejes-13/runs/detect/train/labels_correlogram.jpg
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Git LFS Details
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flejes-13/runs/detect/train/results.csv
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| 1 |
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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
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| 2 |
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1, 1.9799, 1.9865, 1.545, 0.76116, 0.40125, 0.48342, 0.31284, 1.545, 1.0164, 1.2527, 0.0033311, 0.0033311, 0.0033311
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| 3 |
+
2, 1.8651, 1.4609, 1.3851, 0.72181, 0.52457, 0.58996, 0.37065, 1.5758, 0.92034, 1.2293, 0.0066424, 0.0066424, 0.0066424
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| 4 |
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3, 1.8395, 1.3875, 1.3532, 0.77897, 0.55535, 0.62776, 0.39977, 1.5597, 0.83213, 1.2385, 0.0099317, 0.0099317, 0.0099317
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| 5 |
+
4, 1.8483, 1.3552, 1.3573, 0.67894, 0.60221, 0.63309, 0.39741, 1.5748, 0.87658, 1.231, 0.009901, 0.009901, 0.009901
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| 6 |
+
5, 1.8205, 1.2838, 1.344, 0.60927, 0.6011, 0.64333, 0.40223, 1.5496, 0.86342, 1.2221, 0.009901, 0.009901, 0.009901
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| 7 |
+
6, 1.7912, 1.2295, 1.3256, 0.72601, 0.65027, 0.69494, 0.44734, 1.5428, 0.7823, 1.21, 0.009868, 0.009868, 0.009868
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| 8 |
+
7, 1.773, 1.1808, 1.3135, 0.69128, 0.68171, 0.6986, 0.44782, 1.5651, 0.77657, 1.2131, 0.009835, 0.009835, 0.009835
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| 9 |
+
8, 1.7476, 1.1507, 1.2924, 0.8276, 0.66127, 0.72663, 0.45921, 1.5623, 0.7656, 1.2097, 0.009802, 0.009802, 0.009802
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| 10 |
+
9, 1.7408, 1.1078, 1.2907, 0.7915, 0.6458, 0.71647, 0.46051, 1.5393, 0.7408, 1.2075, 0.009769, 0.009769, 0.009769
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| 11 |
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10, 1.7364, 1.1012, 1.2861, 0.79536, 0.64404, 0.7056, 0.45606, 1.5164, 0.73833, 1.1964, 0.009736, 0.009736, 0.009736
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| 12 |
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11, 1.7096, 1.0729, 1.2722, 0.80598, 0.69978, 0.76415, 0.49698, 1.5319, 0.71395, 1.2021, 0.009703, 0.009703, 0.009703
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| 13 |
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12, 1.6899, 1.0451, 1.2635, 0.81422, 0.67851, 0.75237, 0.49504, 1.5378, 0.71011, 1.2065, 0.00967, 0.00967, 0.00967
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| 14 |
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13, 1.6956, 1.0437, 1.2617, 0.8004, 0.69279, 0.75668, 0.49217, 1.5348, 0.70884, 1.215, 0.009637, 0.009637, 0.009637
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| 15 |
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14, 1.6867, 1.0282, 1.2568, 0.81882, 0.67217, 0.74851, 0.48839, 1.5275, 0.70684, 1.2045, 0.009604, 0.009604, 0.009604
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| 16 |
+
15, 1.6797, 1.0175, 1.2559, 0.81003, 0.67975, 0.74185, 0.48217, 1.5195, 0.71788, 1.1998, 0.009571, 0.009571, 0.009571
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| 17 |
+
16, 1.6767, 1.0146, 1.2607, 0.85429, 0.68687, 0.77413, 0.50721, 1.5224, 0.70477, 1.2088, 0.009538, 0.009538, 0.009538
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| 18 |
+
17, 1.6668, 0.99249, 1.2485, 0.84904, 0.69, 0.7602, 0.49358, 1.5232, 0.71454, 1.2057, 0.009505, 0.009505, 0.009505
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| 19 |
+
18, 1.666, 0.98295, 1.2499, 0.81359, 0.72015, 0.78133, 0.52878, 1.5146, 0.68575, 1.1991, 0.009472, 0.009472, 0.009472
|
| 20 |
+
19, 1.6532, 0.97669, 1.2495, 0.80581, 0.78333, 0.8071, 0.52723, 1.5099, 0.68992, 1.1986, 0.009439, 0.009439, 0.009439
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| 21 |
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20, 1.6462, 0.95566, 1.2373, 0.82753, 0.71405, 0.80547, 0.50389, 1.5377, 0.6907, 1.2102, 0.009406, 0.009406, 0.009406
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| 22 |
+
21, 1.6462, 0.95576, 1.2354, 0.80522, 0.78931, 0.81235, 0.53745, 1.5287, 0.65895, 1.2044, 0.009373, 0.009373, 0.009373
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| 23 |
+
22, 1.6356, 0.94241, 1.2313, 0.84991, 0.74414, 0.82122, 0.53425, 1.5317, 0.68575, 1.2016, 0.00934, 0.00934, 0.00934
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| 24 |
+
23, 1.6364, 0.93963, 1.2333, 0.83388, 0.76051, 0.80438, 0.53672, 1.5148, 0.66032, 1.1969, 0.009307, 0.009307, 0.009307
|
| 25 |
+
24, 1.6256, 0.92769, 1.2291, 0.81937, 0.79079, 0.81047, 0.53159, 1.5243, 0.65794, 1.2146, 0.009274, 0.009274, 0.009274
|
| 26 |
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25, 1.6265, 0.91742, 1.2296, 0.78171, 0.76206, 0.79508, 0.51269, 1.5315, 0.6526, 1.2105, 0.009241, 0.009241, 0.009241
|
| 27 |
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26, 1.6224, 0.91257, 1.2267, 0.82744, 0.77388, 0.80591, 0.5391, 1.5123, 0.65151, 1.2054, 0.009208, 0.009208, 0.009208
|
| 28 |
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27, 1.611, 0.90655, 1.2229, 0.87173, 0.76926, 0.8329, 0.54849, 1.5297, 0.64015, 1.2119, 0.009175, 0.009175, 0.009175
|
| 29 |
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28, 1.6037, 0.88993, 1.2188, 0.84324, 0.77137, 0.8191, 0.54319, 1.5284, 0.64662, 1.2069, 0.009142, 0.009142, 0.009142
|
| 30 |
+
29, 1.6036, 0.89423, 1.2177, 0.84909, 0.75572, 0.81942, 0.54186, 1.5216, 0.65563, 1.2068, 0.009109, 0.009109, 0.009109
|
| 31 |
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30, 1.5934, 0.88072, 1.2125, 0.8034, 0.79085, 0.82608, 0.55283, 1.5134, 0.647, 1.2093, 0.009076, 0.009076, 0.009076
|
| 32 |
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31, 1.5916, 0.87934, 1.2096, 0.77224, 0.77029, 0.80384, 0.53754, 1.5134, 0.64095, 1.1958, 0.009043, 0.009043, 0.009043
|
| 33 |
+
32, 1.5925, 0.87653, 1.2097, 0.82031, 0.77465, 0.80105, 0.53331, 1.5195, 0.66575, 1.2061, 0.00901, 0.00901, 0.00901
|
| 34 |
+
33, 1.5954, 0.87831, 1.2121, 0.79189, 0.758, 0.79507, 0.53438, 1.5104, 0.62425, 1.1991, 0.008977, 0.008977, 0.008977
|
| 35 |
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34, 1.5873, 0.87039, 1.2084, 0.77088, 0.81838, 0.82232, 0.5349, 1.5142, 0.63502, 1.2035, 0.008944, 0.008944, 0.008944
|
| 36 |
+
35, 1.5843, 0.84484, 1.2037, 0.85412, 0.79242, 0.80098, 0.5301, 1.5221, 0.6428, 1.2023, 0.008911, 0.008911, 0.008911
|
| 37 |
+
36, 1.5821, 0.85252, 1.2095, 0.78282, 0.797, 0.81068, 0.54321, 1.5192, 0.64889, 1.203, 0.008878, 0.008878, 0.008878
|
| 38 |
+
37, 1.576, 0.8461, 1.2066, 0.86311, 0.7954, 0.84086, 0.56034, 1.5241, 0.62545, 1.2088, 0.008845, 0.008845, 0.008845
|
| 39 |
+
38, 1.5689, 0.83779, 1.204, 0.83782, 0.80055, 0.83711, 0.55537, 1.5226, 0.62467, 1.2059, 0.008812, 0.008812, 0.008812
|
| 40 |
+
39, 1.5742, 0.83158, 1.199, 0.90452, 0.76927, 0.85159, 0.56685, 1.4997, 0.63724, 1.1968, 0.008779, 0.008779, 0.008779
|
| 41 |
+
40, 1.5594, 0.82078, 1.1962, 0.81656, 0.81956, 0.84483, 0.57163, 1.5119, 0.61542, 1.2046, 0.008746, 0.008746, 0.008746
|
| 42 |
+
41, 1.5517, 0.81561, 1.1968, 0.78207, 0.84375, 0.84366, 0.56718, 1.5189, 0.62782, 1.2067, 0.008713, 0.008713, 0.008713
|
| 43 |
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42, 1.5567, 0.8031, 1.1906, 0.81742, 0.76582, 0.84379, 0.55752, 1.5362, 0.63353, 1.2043, 0.00868, 0.00868, 0.00868
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| 44 |
+
43, 1.5566, 0.8142, 1.1892, 0.87163, 0.78406, 0.8498, 0.5589, 1.5282, 0.62884, 1.2136, 0.008647, 0.008647, 0.008647
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| 45 |
+
44, 1.549, 0.79912, 1.1892, 0.85512, 0.82107, 0.84031, 0.5549, 1.521, 0.62938, 1.2056, 0.008614, 0.008614, 0.008614
|
| 46 |
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45, 1.5458, 0.7947, 1.1918, 0.83277, 0.77972, 0.83349, 0.54826, 1.5342, 0.61332, 1.2126, 0.008581, 0.008581, 0.008581
|
| 47 |
+
46, 1.5371, 0.78521, 1.1834, 0.8067, 0.84959, 0.85242, 0.56505, 1.5312, 0.61021, 1.206, 0.008548, 0.008548, 0.008548
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| 48 |
+
47, 1.5309, 0.77507, 1.1814, 0.82971, 0.78184, 0.82747, 0.54898, 1.5448, 0.60894, 1.2231, 0.008515, 0.008515, 0.008515
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| 49 |
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48, 1.5376, 0.78428, 1.1838, 0.75599, 0.85942, 0.84014, 0.56026, 1.5441, 0.59821, 1.2214, 0.008482, 0.008482, 0.008482
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| 50 |
+
49, 1.5282, 0.76804, 1.1778, 0.80333, 0.81297, 0.82985, 0.55763, 1.5425, 0.59059, 1.2211, 0.008449, 0.008449, 0.008449
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| 51 |
+
50, 1.5293, 0.77415, 1.1835, 0.79111, 0.8444, 0.84269, 0.55764, 1.5507, 0.60092, 1.2191, 0.008416, 0.008416, 0.008416
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| 52 |
+
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| 53 |
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| 54 |
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| 55 |
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Git LFS Details
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