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yolov10-models

Object Detection
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Japanese
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KorRyu bknk524 commited on
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Upload 23 files (#3)

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- Upload 23 files (92ce2c3af0ff739fadb45f09152a95d3b2515d25)


Co-authored-by: KonishiYuto <[email protected]>

Files changed (23) hide show
  1. training/yolov10m-sugarcane3/F1_curve.png +0 -0
  2. training/yolov10m-sugarcane3/PR_curve.png +0 -0
  3. training/yolov10m-sugarcane3/P_curve.png +0 -0
  4. training/yolov10m-sugarcane3/R_curve.png +0 -0
  5. training/yolov10m-sugarcane3/args.yaml +107 -0
  6. training/yolov10m-sugarcane3/confusion_matrix.png +0 -0
  7. training/yolov10m-sugarcane3/confusion_matrix_normalized.png +0 -0
  8. training/yolov10m-sugarcane3/labels.jpg +0 -0
  9. training/yolov10m-sugarcane3/labels_correlogram.jpg +0 -0
  10. training/yolov10m-sugarcane3/results.csv +155 -0
  11. training/yolov10m-sugarcane3/results.png +0 -0
  12. training/yolov10m-sugarcane3/train_batch0.jpg +0 -0
  13. training/yolov10m-sugarcane3/train_batch1.jpg +0 -0
  14. training/yolov10m-sugarcane3/train_batch2.jpg +0 -0
  15. training/yolov10m-sugarcane3/val_batch0_labels.jpg +0 -0
  16. training/yolov10m-sugarcane3/val_batch0_pred.jpg +0 -0
  17. training/yolov10m-sugarcane3/val_batch1_labels.jpg +0 -0
  18. training/yolov10m-sugarcane3/val_batch1_pred.jpg +0 -0
  19. training/yolov10m-sugarcane3/val_batch2_labels.jpg +0 -0
  20. training/yolov10m-sugarcane3/val_batch2_pred.jpg +0 -0
  21. training/yolov10m-sugarcane3/weights/best.pt +3 -0
  22. training/yolov10m-sugarcane3/weights/last.pt +3 -0
  23. training/yolov10m-sugarcane3/{73D7CA90-B7AC-4A4E-96CC-EA0B22F8D29A}.png +0 -0
training/yolov10m-sugarcane3/F1_curve.png ADDED
training/yolov10m-sugarcane3/PR_curve.png ADDED
training/yolov10m-sugarcane3/P_curve.png ADDED
training/yolov10m-sugarcane3/R_curve.png ADDED
training/yolov10m-sugarcane3/args.yaml ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ task: detect
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+ mode: train
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+ model: weights/yolov10m.pt
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+ data: data/sugarcane.yaml
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+ epochs: 300
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+ time: null
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+ patience: 100
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+ batch: 8
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+ imgsz: 640
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+ save: true
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+ save_period: -1
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+ val_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: null
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+ name: yolov10m-sugarcane3
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+ exist_ok: false
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+ pretrained: true
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+ optimizer: SGD
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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: None
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+ multi_scale: false
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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: 0.25
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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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+ vid_stride: 1
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+ stream_buffer: false
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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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+ embed: null
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+ show: false
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+ save_frames: 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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+ show_boxes: true
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+ line_width: null
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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: 0.001
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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: 10.0
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+ cls: 0.7
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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: 0.01
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+ hsv_s: 0.5
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+ hsv_v: 0.3
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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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+ bgr: 0.0
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+ mosaic: 0.8
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+ mixup: 0.1
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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: e:\yolov10\runs\detect\yolov10m-sugarcane3
training/yolov10m-sugarcane3/confusion_matrix.png ADDED
training/yolov10m-sugarcane3/confusion_matrix_normalized.png ADDED
training/yolov10m-sugarcane3/labels.jpg ADDED
training/yolov10m-sugarcane3/labels_correlogram.jpg ADDED
training/yolov10m-sugarcane3/results.csv ADDED
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+ epoch, train/box_om, train/cls_om, train/dfl_om, train/box_oo, train/cls_oo, train/dfl_oo, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/box_om, val/cls_om, val/dfl_om, val/box_oo, val/cls_oo, val/dfl_oo, lr/pg0, lr/pg1, lr/pg2
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+ 1, 4.6763, 5.6829, 2.441, 4.317, 5.9855, 1.9879, 0.00581, 0.02828, 0.00314, 0.00089, 4.3775, 4.9365, 2.3461, 4.0364, 5.5973, 1.9138, 0.07327, 0.00027, 0.00027
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+ 2, 4.3538, 4.3788, 2.1839, 4.1257, 5.2325, 1.8208, 0.02943, 0.09401, 0.01977, 0.00545, 3.791, 5.9972, 1.9077, 3.684, 6.2251, 1.6692, 0.045548, 0.00054819, 0.00054819
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+ 3, 3.8717, 3.4334, 1.9418, 3.8003, 4.6085, 1.678, 0.59564, 0.1126, 0.0629, 0.01835, 3.5449, 3.3052, 1.7501, 3.4895, 4.8059, 1.5771, 0.017825, 0.00082452, 0.00082452
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+ 4, 3.6514, 2.9565, 1.7893, 3.5927, 3.9664, 1.5725, 0.66973, 0.15289, 0.11607, 0.03513, 3.5261, 3.2174, 1.7326, 3.4053, 4.3414, 1.548, 0.0009901, 0.0009901, 0.0009901
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+ 5, 3.5094, 2.8718, 1.721, 3.4676, 3.7403, 1.528, 0.68424, 0.17665, 0.14565, 0.04426, 3.3944, 2.6518, 1.5951, 3.2908, 3.5315, 1.4717, 0.0009901, 0.0009901, 0.0009901
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+ 6, 3.4489, 2.738, 1.6595, 3.4569, 3.5998, 1.5134, 0.19359, 0.15186, 0.13885, 0.04394, 3.3582, 2.6395, 1.5309, 3.2202, 3.36, 1.4435, 0.0009868, 0.0009868, 0.0009868
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+ 7, 3.401, 2.6438, 1.5673, 3.3805, 3.4596, 1.4352, 0.24582, 0.147, 0.15013, 0.05093, 3.278, 2.6776, 1.5081, 3.1741, 3.3805, 1.4026, 0.0009835, 0.0009835, 0.0009835
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+ 8, 3.2719, 2.5531, 1.5274, 3.3111, 3.3779, 1.425, 0.69421, 0.16469, 0.15309, 0.04977, 3.2611, 2.5147, 1.5029, 3.1732, 3.4694, 1.408, 0.0009802, 0.0009802, 0.0009802
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+ 9, 3.2962, 2.5463, 1.4915, 3.3231, 3.3455, 1.3871, 0.22724, 0.19361, 0.16877, 0.0554, 3.2042, 2.4127, 1.4638, 3.1025, 3.2881, 1.3867, 0.0009769, 0.0009769, 0.0009769
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+ 10, 3.1942, 2.506, 1.4742, 3.2531, 3.2091, 1.3811, 0.27435, 0.1974, 0.18769, 0.06065, 3.1864, 2.4401, 1.4712, 3.1157, 3.1892, 1.3826, 0.0009736, 0.0009736, 0.0009736
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+ 11, 3.2094, 2.4629, 1.4693, 3.2518, 3.1229, 1.3694, 0.3012, 0.23405, 0.19592, 0.06258, 3.2285, 2.4379, 1.4007, 3.1747, 3.1113, 1.3548, 0.0009703, 0.0009703, 0.0009703
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+ 12, 3.174, 2.4017, 1.4197, 3.257, 3.0547, 1.3432, 0.30059, 0.26185, 0.21134, 0.06615, 3.2082, 2.4322, 1.4187, 3.1578, 3.0856, 1.3539, 0.000967, 0.000967, 0.000967
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+ 13, 3.193, 2.439, 1.4557, 3.2552, 3.0697, 1.3844, 0.33921, 0.29593, 0.24906, 0.08156, 3.156, 2.331, 1.4158, 3.1002, 2.9925, 1.3562, 0.0009637, 0.0009637, 0.0009637
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+ 14, 3.1336, 2.3438, 1.4371, 3.2014, 2.9512, 1.3588, 0.35891, 0.29389, 0.25457, 0.08727, 3.1215, 2.3376, 1.4143, 3.0534, 2.9329, 1.3498, 0.0009604, 0.0009604, 0.0009604
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+ 15, 3.1618, 2.3391, 1.48, 3.1796, 2.9755, 1.3897, 0.41244, 0.30623, 0.27788, 0.09675, 3.1225, 2.3644, 1.4219, 3.0396, 3.0025, 1.3435, 0.0009571, 0.0009571, 0.0009571
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+ 16, 3.0602, 2.2713, 1.4191, 3.1591, 2.866, 1.3531, 0.39721, 0.30495, 0.29533, 0.09885, 3.138, 2.2973, 1.4154, 3.0396, 2.8784, 1.3376, 0.0009538, 0.0009538, 0.0009538
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+ 17, 3.1301, 2.2997, 1.4231, 3.2178, 2.8741, 1.3539, 0.40565, 0.31127, 0.27966, 0.09269, 3.1525, 2.3591, 1.4023, 3.0506, 3.0014, 1.3324, 0.0009505, 0.0009505, 0.0009505
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+ 18, 3.0709, 2.2607, 1.4229, 3.1628, 2.8317, 1.3528, 0.44127, 0.36337, 0.32814, 0.11361, 3.0983, 2.2176, 1.4196, 2.9944, 2.7986, 1.3283, 0.0009472, 0.0009472, 0.0009472
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+ 19, 3.0521, 2.3018, 1.4077, 3.1637, 2.8786, 1.3444, 0.44056, 0.35155, 0.33427, 0.11452, 3.1034, 2.2235, 1.3899, 2.9703, 2.7771, 1.3156, 0.0009439, 0.0009439, 0.0009439
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+ 20, 3.0309, 2.2029, 1.398, 3.1099, 2.7664, 1.3306, 0.47418, 0.34821, 0.35315, 0.12342, 3.0913, 2.2261, 1.403, 2.9622, 2.8112, 1.3144, 0.0009406, 0.0009406, 0.0009406
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+ 21, 2.9896, 2.1753, 1.3996, 3.085, 2.7309, 1.3357, 0.4745, 0.35549, 0.36402, 0.12845, 3.0981, 2.1835, 1.4074, 3.0174, 2.6882, 1.3353, 0.0009373, 0.0009373, 0.0009373
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+ 22, 3.0103, 2.1481, 1.3893, 3.1059, 2.7477, 1.3306, 0.53472, 0.33341, 0.37057, 0.13352, 3.1081, 2.1357, 1.4104, 2.9903, 2.6772, 1.3327, 0.000934, 0.000934, 0.000934
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+ 23, 3.0577, 2.123, 1.3736, 3.1635, 2.6885, 1.3005, 0.48096, 0.34717, 0.35414, 0.12459, 3.1398, 2.2488, 1.4136, 2.9829, 2.8171, 1.316, 0.0009307, 0.0009307, 0.0009307
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+ 24, 2.9746, 2.105, 1.3861, 3.0495, 2.6821, 1.3079, 0.49977, 0.35239, 0.3688, 0.13146, 3.0947, 2.1922, 1.4172, 2.9941, 2.7055, 1.3194, 0.0009274, 0.0009274, 0.0009274
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+ 25, 3.0111, 2.1158, 1.3897, 3.0892, 2.6931, 1.3092, 0.50826, 0.32377, 0.36238, 0.12906, 3.1369, 2.2531, 1.4127, 2.9996, 2.7915, 1.309, 0.0009241, 0.0009241, 0.0009241
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+ 26, 2.9523, 2.0913, 1.3724, 3.05, 2.6713, 1.2965, 0.47924, 0.36363, 0.36088, 0.12969, 3.1317, 2.1807, 1.4112, 3.0313, 2.724, 1.3211, 0.0009208, 0.0009208, 0.0009208
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+ 27, 2.9132, 2.072, 1.3623, 3.0028, 2.6487, 1.2973, 0.45688, 0.38951, 0.36836, 0.12972, 3.1364, 2.1676, 1.402, 3.0389, 2.6959, 1.313, 0.0009175, 0.0009175, 0.0009175
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+ 28, 2.9231, 2.0491, 1.3563, 3.0372, 2.5927, 1.2901, 0.4668, 0.36794, 0.35694, 0.12436, 3.1015, 2.1741, 1.3997, 3.024, 2.7178, 1.3126, 0.0009142, 0.0009142, 0.0009142
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+ 29, 2.9448, 2.0703, 1.3641, 3.0879, 2.626, 1.3021, 0.46528, 0.3676, 0.35487, 0.12339, 3.1174, 2.2099, 1.3845, 3.0088, 2.7783, 1.2964, 0.0009109, 0.0009109, 0.0009109
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+ 30, 2.9016, 2.0348, 1.3591, 3.0197, 2.5664, 1.2996, 0.47959, 0.4053, 0.40193, 0.14259, 3.0843, 2.105, 1.4158, 3.0306, 2.5889, 1.3252, 0.0009076, 0.0009076, 0.0009076
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+ 31, 2.9178, 2.0415, 1.3538, 3.0643, 2.5602, 1.2934, 0.46558, 0.43501, 0.40203, 0.13999, 3.1018, 2.1393, 1.4023, 3.0631, 2.6067, 1.3284, 0.0009043, 0.0009043, 0.0009043
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+ 32, 2.9045, 2.0202, 1.3464, 3.0179, 2.5437, 1.2963, 0.46249, 0.39474, 0.38807, 0.13378, 3.118, 2.1789, 1.404, 3.0764, 2.6602, 1.3274, 0.000901, 0.000901, 0.000901
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+ 34, 2.8607, 1.9659, 1.3569, 2.9822, 2.4598, 1.3042, 0.45281, 0.45111, 0.40451, 0.14317, 3.1429, 2.0827, 1.4424, 3.0884, 2.5509, 1.3599, 0.0008944, 0.0008944, 0.0008944
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+ 36, 2.8291, 1.9176, 1.3278, 2.9906, 2.4326, 1.2811, 0.46164, 0.4022, 0.38838, 0.13466, 3.1969, 2.1906, 1.4335, 3.1179, 2.7201, 1.3595, 0.0008878, 0.0008878, 0.0008878
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+ 37, 2.8031, 1.9026, 1.3629, 2.9461, 2.4168, 1.3125, 0.50422, 0.40763, 0.40137, 0.13979, 3.2045, 2.0983, 1.4566, 3.1241, 2.582, 1.3693, 0.0008845, 0.0008845, 0.0008845
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+ 38, 2.7799, 1.8697, 1.3263, 2.9519, 2.3796, 1.2894, 0.496, 0.402, 0.39604, 0.13646, 3.1938, 2.0903, 1.4491, 3.1032, 2.6201, 1.3692, 0.0008812, 0.0008812, 0.0008812
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+ 39, 2.8247, 1.8898, 1.3228, 3.0223, 2.4006, 1.2824, 0.4668, 0.41096, 0.39998, 0.13763, 3.1946, 2.1024, 1.4519, 3.1043, 2.6268, 1.3652, 0.0008779, 0.0008779, 0.0008779
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+ 41, 2.768, 1.8029, 1.2869, 2.9499, 2.2731, 1.2502, 0.4998, 0.43465, 0.41056, 0.14025, 3.2256, 2.0885, 1.4463, 3.141, 2.5829, 1.3607, 0.0008713, 0.0008713, 0.0008713
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+ 42, 2.7379, 1.7891, 1.311, 2.9424, 2.2485, 1.2854, 0.52902, 0.43282, 0.41994, 0.14497, 3.2183, 2.1165, 1.4452, 3.1404, 2.5968, 1.3623, 0.000868, 0.000868, 0.000868
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+ 43, 2.8695, 1.8345, 1.3045, 3.0653, 2.3449, 1.2628, 0.50975, 0.41587, 0.40409, 0.13605, 3.2509, 2.0823, 1.4804, 3.1885, 2.5614, 1.3875, 0.0008647, 0.0008647, 0.0008647
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+ 44, 2.7416, 1.7383, 1.308, 2.9612, 2.1839, 1.2753, 0.54343, 0.39105, 0.41369, 0.14033, 3.2268, 2.1238, 1.4657, 3.166, 2.622, 1.3769, 0.0008614, 0.0008614, 0.0008614
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+ 45, 2.7414, 1.742, 1.2689, 2.9636, 2.2156, 1.2413, 0.51692, 0.44343, 0.42038, 0.14525, 3.2212, 2.1722, 1.4596, 3.1501, 2.6664, 1.3723, 0.0008581, 0.0008581, 0.0008581
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+ 46, 2.7306, 1.7744, 1.3172, 2.9237, 2.2541, 1.2767, 0.53995, 0.42458, 0.42262, 0.14662, 3.2238, 2.1392, 1.4606, 3.1311, 2.6476, 1.359, 0.0008548, 0.0008548, 0.0008548
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+ 47, 2.6925, 1.7122, 1.3047, 2.8768, 2.1456, 1.2754, 0.52212, 0.4258, 0.41405, 0.13752, 3.3014, 2.1605, 1.4761, 3.1718, 2.7044, 1.3651, 0.0008515, 0.0008515, 0.0008515
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+ 52, 2.6754, 1.6395, 1.2787, 2.9095, 2.1136, 1.2516, 0.5343, 0.43932, 0.42208, 0.14079, 3.2831, 2.06, 1.5056, 3.2304, 2.5492, 1.4058, 0.000835, 0.000835, 0.000835
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56
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57
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58
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59
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60
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61
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62
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63
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64
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65
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66
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67
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68
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69
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70
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71
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72
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73
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74
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75
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76
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77
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78
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79
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80
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81
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82
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83
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84
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85
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86
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87
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88
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89
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90
+ 89, 2.2832, 1.2753, 1.1718, 2.6069, 1.6482, 1.175, 0.54322, 0.4586, 0.42573, 0.1346, 3.5924, 2.0278, 1.7309, 3.4769, 2.5792, 1.5482, 0.0007129, 0.0007129, 0.0007129
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
+ 96, 2.318, 1.2687, 1.1486, 2.6396, 1.6244, 1.15, 0.53243, 0.47191, 0.41659, 0.13138, 3.6141, 2.0598, 1.7427, 3.5447, 2.555, 1.577, 0.0006898, 0.0006898, 0.0006898
98
+ 97, 2.2808, 1.2438, 1.1654, 2.6157, 1.5818, 1.1708, 0.51257, 0.47273, 0.40809, 0.13357, 3.6191, 2.0278, 1.7771, 3.546, 2.5474, 1.5949, 0.0006865, 0.0006865, 0.0006865
99
+ 98, 2.1631, 1.1769, 1.1402, 2.4916, 1.4914, 1.1463, 0.52207, 0.47666, 0.41658, 0.13214, 3.6296, 2.0379, 1.7551, 3.5484, 2.5949, 1.5794, 0.0006832, 0.0006832, 0.0006832
100
+ 99, 2.1479, 1.1571, 1.1163, 2.4892, 1.4914, 1.1306, 0.54099, 0.449, 0.41925, 0.13677, 3.602, 2.0157, 1.7433, 3.5259, 2.5495, 1.5803, 0.0006799, 0.0006799, 0.0006799
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
+ 119, 2.0921, 1.1143, 1.1032, 2.4597, 1.4424, 1.1163, 0.53888, 0.47436, 0.42726, 0.13223, 3.611, 2.0056, 1.7792, 3.5296, 2.5244, 1.6007, 0.0006139, 0.0006139, 0.0006139
121
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122
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123
+ 122, 2.0333, 1.1089, 1.0999, 2.3849, 1.4098, 1.1192, 0.51771, 0.47923, 0.43002, 0.13112, 3.6196, 1.9829, 1.7949, 3.5674, 2.5108, 1.6152, 0.000604, 0.000604, 0.000604
124
+ 123, 2.0642, 1.1008, 1.0934, 2.4278, 1.4302, 1.1108, 0.53109, 0.47366, 0.42219, 0.12934, 3.6346, 2.0343, 1.799, 3.566, 2.5977, 1.6177, 0.0006007, 0.0006007, 0.0006007
125
+ 124, 1.99, 1.0544, 1.0923, 2.3441, 1.3363, 1.1043, 0.54563, 0.46416, 0.41309, 0.12788, 3.6624, 2.0029, 1.8152, 3.5896, 2.5455, 1.6314, 0.0005974, 0.0005974, 0.0005974
126
+ 125, 2.0164, 1.0842, 1.0947, 2.3573, 1.3914, 1.1127, 0.53825, 0.47126, 0.42638, 0.13035, 3.6579, 2.0029, 1.8145, 3.5764, 2.5346, 1.635, 0.0005941, 0.0005941, 0.0005941
127
+ 126, 2.0007, 1.0696, 1.0807, 2.3695, 1.372, 1.0955, 0.50877, 0.49415, 0.42331, 0.13147, 3.6231, 2.0036, 1.8021, 3.5327, 2.5701, 1.6216, 0.0005908, 0.0005908, 0.0005908
128
+ 127, 1.9933, 1.0598, 1.0755, 2.3275, 1.3589, 1.0944, 0.54642, 0.4689, 0.42894, 0.13348, 3.6578, 1.9887, 1.8133, 3.5699, 2.5218, 1.6292, 0.0005875, 0.0005875, 0.0005875
129
+ 128, 2.048, 1.09, 1.107, 2.3803, 1.391, 1.1168, 0.54797, 0.47637, 0.43349, 0.13367, 3.6388, 2.0186, 1.8067, 3.5652, 2.563, 1.6184, 0.0005842, 0.0005842, 0.0005842
130
+ 129, 2.0157, 1.0795, 1.1032, 2.3521, 1.3737, 1.1212, 0.55309, 0.47199, 0.42757, 0.13552, 3.6373, 2.0235, 1.7865, 3.5463, 2.5523, 1.6054, 0.0005809, 0.0005809, 0.0005809
131
+ 130, 1.9736, 1.0643, 1.0888, 2.3304, 1.3762, 1.1069, 0.53739, 0.47828, 0.43056, 0.1376, 3.6341, 1.9865, 1.8359, 3.5464, 2.489, 1.6348, 0.0005776, 0.0005776, 0.0005776
132
+ 131, 2.0253, 1.0708, 1.0858, 2.3861, 1.3997, 1.1004, 0.55035, 0.48165, 0.4327, 0.1316, 3.6728, 2.0453, 1.8203, 3.5841, 2.5572, 1.6256, 0.0005743, 0.0005743, 0.0005743
133
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134
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