init repo
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yolo_training/NAO_detector3/F1_curve.png
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yolo_training/NAO_detector3/PR_curve.png
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yolo_training/NAO_detector3/P_curve.png
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yolo_training/NAO_detector3/R_curve.png
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yolo_training/NAO_detector3/args.yaml
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task: detect
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mode: train
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model: yolov8n.pt
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data: yolo_dataset\dataset.yaml
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epochs: 50
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time: null
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patience: 5
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batch: 16
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imgsz: 640
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save: true
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save_period: -1
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cache: false
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device: cpu
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workers: 8
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project: yolo_training
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name: NAO_detector3
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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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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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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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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: true
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opset: null
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workspace: null
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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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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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bgr: 0.0
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mosaic: 1.0
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mixup: 0.0
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cutmix: 0.0
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copy_paste: 0.0
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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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cfg: null
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tracker: botsort.yaml
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save_dir: yolo_training\NAO_detector3
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yolo_training/NAO_detector3/confusion_matrix.png
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yolo_training/NAO_detector3/confusion_matrix_normalized.png
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yolo_training/NAO_detector3/labels.jpg
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yolo_training/NAO_detector3/labels_correlogram.jpg
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yolo_training/NAO_detector3/results.csv
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epoch,time,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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1,140.47,1.11402,2.41714,1.20281,1,0.37601,0.79951,0.55456,0.87553,2.60439,1.01905,0.00026,0.00026,0.00026
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2,316.983,0.99575,1.51901,1.10586,1,0.45683,0.90108,0.57564,1.10253,2.54986,1.13344,0.000529308,0.000529308,0.000529308
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3,512.153,0.99078,1.43238,1.14146,0.93389,0.35323,0.7206,0.43569,1.22903,2.64606,1.23865,0.000787528,0.000787528,0.000787528
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4,644.94,1.0202,1.33932,1.15516,0.61359,0.3,0.34609,0.22426,1.32221,2.85182,1.39251,0.00103466,0.00103466,0.00103466
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5,772.698,1.04289,1.31,1.17156,0.475,0.45,0.4433,0.29879,1.17274,2.54752,1.27816,0.0012707,0.0012707,0.0012707
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6,899.988,1.0882,1.2972,1.2043,0.7555,0.2875,0.31395,0.19236,1.42954,3.42743,1.67074,0.00149566,0.00149566,0.00149566
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7,1025.24,1.05137,1.28863,1.18317,0.4076,0.45,0.36035,0.2224,1.21401,3.12466,1.48008,0.00170953,0.00170953,0.00170953
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yolo_training/NAO_detector3/results.png
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yolo_training/NAO_detector3/train_batch0.jpg
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yolo_training/NAO_detector3/train_batch1.jpg
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yolo_training/NAO_detector3/train_batch2.jpg
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yolo_training/NAO_detector3/val_batch0_labels.jpg
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yolo_training/NAO_detector3/val_batch0_pred.jpg
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yolo_training/NAO_detector3/val_batch1_labels.jpg
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yolo_training/NAO_detector3/val_batch1_pred.jpg
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