96*64 Model

yolo_training/NAO_detector2/args.yaml

@@ -0,0 +1,107 @@
+task: detect
+mode: train
+model: yolov8n.pt
+data: yolo_dataset/dataset.yaml
+epochs: 50
+time: null
+patience: 5
+batch: 16
+imgsz:
+- 80
+- 60
+save: true
+save_period: -1
+cache: false
+device: '0'
+workers: 8
+project: yolo_training
+name: NAO_detector2
+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: null
+multi_scale: false
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+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: null
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: true
+opset: null
+workspace: null
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+cutmix: 0.0
+copy_paste: 0.0
+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+cfg: null
+tracker: botsort.yaml
+save_dir: yolo_training/NAO_detector2

yolo_training/NAO_detector2/results.csv

@@ -0,0 +1,10 @@
+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
+1,24.9125,2.15409,2.10792,1.24391,0.70243,0.4878,0.62258,0.37583,1.54244,1.4288,1.21992,0.000661064,0.000661064,0.000661064
+2,44.9091,1.91187,1.19581,1.12279,0.49108,0.63415,0.60834,0.32513,1.60866,1.27692,1.43341,0.00130144,0.00130144,0.00130144
+3,64.026,1.83625,1.09237,1.10677,0.59025,0.65854,0.64126,0.31251,1.64287,1.30798,1.50193,0.00191542,0.00191542,0.00191542
+4,84.1255,1.77744,1.09722,1.09541,0.78965,0.5122,0.60462,0.39948,1.50564,1.37216,1.36987,0.0018812,0.0018812,0.0018812
+5,106.065,1.72451,1.00674,1.0756,0.69027,0.58537,0.65348,0.36967,1.56627,1.19791,1.38099,0.0018416,0.0018416,0.0018416
+6,128.173,1.6816,0.96545,1.06602,0.5608,0.73171,0.62227,0.31853,1.65704,1.24745,1.38968,0.001802,0.001802,0.001802
+7,149.813,1.66449,0.95214,1.05808,0.80001,0.7561,0.86342,0.53905,1.33301,0.97867,1.1847,0.0017624,0.0017624,0.0017624
+8,175.593,1.61801,0.92736,1.03716,0.7216,0.78049,0.77649,0.54305,1.18629,0.92563,1.14214,0.0017228,0.0017228,0.0017228
+9,200.309,1.54485,0.88521,1.02098,0.7252,0.77253,0.77037,0.46198,1.47832,1.13508,1.3266,0.0016832,0.0016832,0.0016832