rickysambora55
commited on
Commit
•
7aeb02d
1
Parent(s):
c1fc885
uploading model
Browse files- train v4 yolov8n/train/F1_curve.png +0 -0
- train v4 yolov8n/train/PR_curve.png +0 -0
- train v4 yolov8n/train/P_curve.png +0 -0
- train v4 yolov8n/train/R_curve.png +0 -0
- train v4 yolov8n/train/args.yaml +98 -0
- train v4 yolov8n/train/confusion_matrix.png +0 -0
- train v4 yolov8n/train/confusion_matrix_normalized.png +0 -0
- train v4 yolov8n/train/events.out.tfevents.1712496475.e5479b55cadd.2347.0 +3 -0
- train v4 yolov8n/train/labels.jpg +0 -0
- train v4 yolov8n/train/labels_correlogram.jpg +0 -0
- train v4 yolov8n/train/results.csv +51 -0
- train v4 yolov8n/train/results.png +0 -0
- train v4 yolov8n/train/train_batch0.jpg +0 -0
- train v4 yolov8n/train/train_batch1.jpg +0 -0
- train v4 yolov8n/train/train_batch2.jpg +0 -0
- train v4 yolov8n/train/train_batch3080.jpg +0 -0
- train v4 yolov8n/train/train_batch3081.jpg +0 -0
- train v4 yolov8n/train/train_batch3082.jpg +0 -0
- train v4 yolov8n/train/val_batch0_labels.jpg +0 -0
- train v4 yolov8n/train/val_batch0_pred.jpg +0 -0
- train v4 yolov8n/train/val_batch1_labels.jpg +0 -0
- train v4 yolov8n/train/val_batch1_pred.jpg +0 -0
- train v4 yolov8n/train/val_batch2_labels.jpg +0 -0
- train v4 yolov8n/train/val_batch2_pred.jpg +0 -0
- train v4 yolov8n/train/weights/best.pt +3 -0
- train v4 yolov8n/train/weights/last.pt +3 -0
- train v4 yolov8n/val/F1_curve.png +0 -0
- train v4 yolov8n/val/PR_curve.png +0 -0
- train v4 yolov8n/val/P_curve.png +0 -0
- train v4 yolov8n/val/R_curve.png +0 -0
- train v4 yolov8n/val/confusion_matrix.png +0 -0
- train v4 yolov8n/val/confusion_matrix_normalized.png +0 -0
- train v4 yolov8n/val/val_batch0_labels.jpg +0 -0
- train v4 yolov8n/val/val_batch0_pred.jpg +0 -0
- train v4 yolov8n/val/val_batch1_labels.jpg +0 -0
- train v4 yolov8n/val/val_batch1_pred.jpg +0 -0
- train v4 yolov8n/val/val_batch2_labels.jpg +0 -0
- train v4 yolov8n/val/val_batch2_pred.jpg +0 -0
train v4 yolov8n/train/F1_curve.png
ADDED
train v4 yolov8n/train/PR_curve.png
ADDED
train v4 yolov8n/train/P_curve.png
ADDED
train v4 yolov8n/train/R_curve.png
ADDED
train v4 yolov8n/train/args.yaml
ADDED
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task: detect
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mode: train
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model: yolov8n.pt
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data: /content/datasets/Crowd-Detection-4/data.yaml
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epochs: 50
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patience: 50
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batch: 32
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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: 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: true
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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: 10
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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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train v4 yolov8n/train/confusion_matrix.png
ADDED
train v4 yolov8n/train/confusion_matrix_normalized.png
ADDED
train v4 yolov8n/train/events.out.tfevents.1712496475.e5479b55cadd.2347.0
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:973728d8bbd51ab9bc9fcaba21df91bfd3f712fae980f527ef3c5acae40bb4b3
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size 932883
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train v4 yolov8n/train/labels.jpg
ADDED
train v4 yolov8n/train/labels_correlogram.jpg
ADDED
train v4 yolov8n/train/results.csv
ADDED
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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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1, 1.3056, 1.6637, 1.1771, 0.8981, 0.48265, 0.82207, 0.51674, 1.2066, 1.9229, 1.1003, 0.00054845, 0.00054845, 0.00054845
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2, 1.2789, 1.0566, 1.1687, 0.8572, 0.83301, 0.89621, 0.56421, 1.2145, 1.0095, 1.1352, 0.001103, 0.001103, 0.001103
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3, 1.2658, 0.96296, 1.158, 0.89247, 0.84511, 0.90655, 0.57147, 1.2206, 0.87341, 1.1524, 0.0016533, 0.0016533, 0.0016533
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4, 1.251, 0.9074, 1.1571, 0.89227, 0.84329, 0.8971, 0.56855, 1.2085, 0.91324, 1.1644, 0.0016524, 0.0016524, 0.0016524
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5, 1.2511, 0.85756, 1.1514, 0.88681, 0.84173, 0.90483, 0.56725, 1.2128, 0.85679, 1.1433, 0.0016524, 0.0016524, 0.0016524
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7, 1.2195, 0.80773, 1.1483, 0.91794, 0.84987, 0.92144, 0.5841, 1.2435, 0.77614, 1.1475, 0.0016266, 0.0016266, 0.0016266
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8, 1.2068, 0.7821, 1.1306, 0.90774, 0.86012, 0.92722, 0.59878, 1.1877, 0.78003, 1.1234, 0.0016091, 0.0016091, 0.0016091
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|
47 |
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48 |
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47, 0.98699, 0.50394, 1.0202, 0.95106, 0.89455, 0.9555, 0.65691, 1.0785, 0.54436, 1.043, 5.7056e-05, 5.7056e-05, 5.7056e-05
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50 |
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51 |
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