Upload folder using huggingface_hub
#1
by
crangana
- opened
- detect/train/args.yaml +91 -0
- detect/train2/args.yaml +91 -0
- detect/train3/F1_curve.png +0 -0
- detect/train3/PR_curve.png +0 -0
- detect/train3/P_curve.png +0 -0
- detect/train3/R_curve.png +0 -0
- detect/train3/args.yaml +91 -0
- detect/train3/confusion_matrix.png +0 -0
- detect/train3/events.out.tfevents.1687807103.306efcecc7e8.4438.0 +3 -0
- detect/train3/results.csv +26 -0
- detect/train3/results.png +0 -0
- detect/train3/train_batch0.jpg +0 -0
- detect/train3/train_batch1.jpg +0 -0
- detect/train3/train_batch2.jpg +0 -0
- detect/train3/train_batch315.jpg +0 -0
- detect/train3/train_batch316.jpg +0 -0
- detect/train3/train_batch317.jpg +0 -0
- detect/train3/val_batch0_labels.jpg +0 -0
- detect/train3/val_batch0_pred.jpg +0 -0
- detect/train3/val_batch1_labels.jpg +0 -0
- detect/train3/val_batch1_pred.jpg +0 -0
- detect/train3/weights/best.pt +3 -0
- detect/train3/weights/last.pt +3 -0
- detect/val/F1_curve.png +0 -0
- detect/val/PR_curve.png +0 -0
- detect/val/P_curve.png +0 -0
- detect/val/R_curve.png +0 -0
- detect/val/confusion_matrix.png +0 -0
- detect/val/val_batch0_labels.jpg +0 -0
- detect/val/val_batch0_pred.jpg +0 -0
- detect/val/val_batch1_labels.jpg +0 -0
- detect/val/val_batch1_pred.jpg +0 -0
- detect/val/val_batch2_labels.jpg +0 -0
- detect/val/val_batch2_pred.jpg +0 -0
- yolov8s.pt +3 -0
detect/train/args.yaml
ADDED
@@ -0,0 +1,91 @@
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task: detect
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mode: train
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model: yolov8s.yaml
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data: /content/datasets/Outsident-1/data.yaml
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epochs: 25
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patience: 50
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batch: 16
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imgsz: 224
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save: true
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cache: false
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device: ''
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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: false
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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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image_weights: 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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overlap_mask: true
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mask_ratio: 4
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dropout: false
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val: true
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save_json: false
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save_hybrid: false
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conf: 0.001
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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: ultralytics/assets/
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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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hide_labels: false
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hide_conf: false
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vid_stride: 1
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line_thickness: 3
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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: 17
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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: 0.001
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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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fl_gamma: 0.0
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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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v5loader: false
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save_dir: runs/detect/train
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detect/train2/args.yaml
ADDED
@@ -0,0 +1,91 @@
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1 |
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task: detect
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mode: train
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model: yolov8s.yaml
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data: /content/Outsident-1/data.yaml
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epochs: 25
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patience: 50
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batch: 16
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imgsz: 224
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save: true
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cache: false
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device: ''
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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: false
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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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image_weights: 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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overlap_mask: true
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mask_ratio: 4
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dropout: false
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val: true
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save_json: false
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save_hybrid: false
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33 |
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conf: 0.001
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34 |
+
iou: 0.7
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35 |
+
max_det: 300
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36 |
+
half: false
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37 |
+
dnn: false
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38 |
+
plots: true
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source: ultralytics/assets/
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40 |
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show: false
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41 |
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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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hide_labels: false
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hide_conf: false
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vid_stride: 1
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line_thickness: 3
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48 |
+
visualize: false
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49 |
+
augment: false
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50 |
+
agnostic_nms: false
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51 |
+
classes: null
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52 |
+
retina_masks: false
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53 |
+
boxes: true
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54 |
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format: torchscript
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55 |
+
keras: false
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56 |
+
optimize: false
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57 |
+
int8: false
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58 |
+
dynamic: false
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59 |
+
simplify: false
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+
opset: 17
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workspace: 4
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+
nms: false
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+
lr0: 0.01
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64 |
+
lrf: 0.01
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momentum: 0.937
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66 |
+
weight_decay: 0.001
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warmup_epochs: 3.0
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68 |
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warmup_momentum: 0.8
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69 |
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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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fl_gamma: 0.0
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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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80 |
+
translate: 0.1
|
81 |
+
scale: 0.5
|
82 |
+
shear: 0.0
|
83 |
+
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
|
89 |
+
cfg: null
|
90 |
+
v5loader: false
|
91 |
+
save_dir: runs/detect/train2
|
detect/train3/F1_curve.png
ADDED
detect/train3/PR_curve.png
ADDED
detect/train3/P_curve.png
ADDED
detect/train3/R_curve.png
ADDED
detect/train3/args.yaml
ADDED
@@ -0,0 +1,91 @@
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|
1 |
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task: detect
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2 |
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mode: train
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3 |
+
model: yolov8s.yaml
|
4 |
+
data: /content/datasets/Outsident-1/data.yaml
|
5 |
+
epochs: 25
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6 |
+
patience: 50
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7 |
+
batch: 16
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8 |
+
imgsz: 224
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9 |
+
save: true
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10 |
+
cache: false
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11 |
+
device: ''
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12 |
+
workers: 8
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13 |
+
project: null
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+
name: null
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exist_ok: false
|
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pretrained: false
|
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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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+
image_weights: false
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+
rect: false
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+
cos_lr: false
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25 |
+
close_mosaic: 10
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+
resume: false
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27 |
+
overlap_mask: true
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28 |
+
mask_ratio: 4
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29 |
+
dropout: false
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30 |
+
val: true
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+
save_json: false
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+
save_hybrid: false
|
33 |
+
conf: 0.001
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34 |
+
iou: 0.7
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35 |
+
max_det: 300
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36 |
+
half: false
|
37 |
+
dnn: false
|
38 |
+
plots: true
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39 |
+
source: ultralytics/assets/
|
40 |
+
show: false
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41 |
+
save_txt: false
|
42 |
+
save_conf: false
|
43 |
+
save_crop: false
|
44 |
+
hide_labels: false
|
45 |
+
hide_conf: false
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46 |
+
vid_stride: 1
|
47 |
+
line_thickness: 3
|
48 |
+
visualize: false
|
49 |
+
augment: false
|
50 |
+
agnostic_nms: false
|
51 |
+
classes: null
|
52 |
+
retina_masks: false
|
53 |
+
boxes: true
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54 |
+
format: torchscript
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55 |
+
keras: false
|
56 |
+
optimize: false
|
57 |
+
int8: false
|
58 |
+
dynamic: false
|
59 |
+
simplify: false
|
60 |
+
opset: 17
|
61 |
+
workspace: 4
|
62 |
+
nms: false
|
63 |
+
lr0: 0.01
|
64 |
+
lrf: 0.01
|
65 |
+
momentum: 0.937
|
66 |
+
weight_decay: 0.001
|
67 |
+
warmup_epochs: 3.0
|
68 |
+
warmup_momentum: 0.8
|
69 |
+
warmup_bias_lr: 0.1
|
70 |
+
box: 7.5
|
71 |
+
cls: 0.5
|
72 |
+
dfl: 1.5
|
73 |
+
fl_gamma: 0.0
|
74 |
+
label_smoothing: 0.0
|
75 |
+
nbs: 64
|
76 |
+
hsv_h: 0.015
|
77 |
+
hsv_s: 0.7
|
78 |
+
hsv_v: 0.4
|
79 |
+
degrees: 0.0
|
80 |
+
translate: 0.1
|
81 |
+
scale: 0.5
|
82 |
+
shear: 0.0
|
83 |
+
perspective: 0.0
|
84 |
+
flipud: 0.0
|
85 |
+
fliplr: 0.5
|
86 |
+
mosaic: 1.0
|
87 |
+
mixup: 0.0
|
88 |
+
copy_paste: 0.0
|
89 |
+
cfg: null
|
90 |
+
v5loader: false
|
91 |
+
save_dir: runs/detect/train3
|
detect/train3/confusion_matrix.png
ADDED
detect/train3/events.out.tfevents.1687807103.306efcecc7e8.4438.0
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4d61b9fdd771031beacffa2cfb26826430efabda14b2bf52ef039501a91c8c6
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size 91786
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detect/train3/results.csv
ADDED
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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 |
+
0, 1.8105, 3.9328, 1.7198, 0.156, 0.21966, 0.1742, 0.12759, 1.3497, 3.5171, 1.6046, 0.082, 0.002, 0.002
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+
1, 1.4942, 2.367, 1.6089, 0.44946, 0.56125, 0.52213, 0.41137, 1.1109, 2.7607, 1.4975, 0.062938, 0.0039376, 0.0039376
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4 |
+
2, 1.2144, 1.5803, 1.3786, 0.67015, 0.80027, 0.77648, 0.59759, 0.81053, 1.4752, 1.2343, 0.043709, 0.005709, 0.005709
|
5 |
+
3, 1.158, 1.4574, 1.3165, 0.83059, 0.55302, 0.6917, 0.54747, 0.8907, 1.4114, 1.2306, 0.024314, 0.007314, 0.007314
|
6 |
+
4, 1.0656, 1.2481, 1.2515, 0.82662, 0.7199, 0.8231, 0.65889, 0.78206, 1.1576, 1.1452, 0.008416, 0.008416, 0.008416
|
7 |
+
5, 1.0393, 1.15, 1.2047, 0.80883, 0.79891, 0.79346, 0.61156, 0.8416, 0.95251, 1.1786, 0.008416, 0.008416, 0.008416
|
8 |
+
6, 1.0261, 1.0733, 1.1693, 0.86104, 0.74871, 0.79822, 0.59162, 0.84537, 0.93957, 1.1946, 0.00802, 0.00802, 0.00802
|
9 |
+
7, 1.0008, 0.9999, 1.1528, 0.85349, 0.73771, 0.8182, 0.61605, 0.92713, 1.1666, 1.2212, 0.007624, 0.007624, 0.007624
|
10 |
+
8, 1.0424, 0.94334, 1.1835, 0.81398, 0.86391, 0.88013, 0.65885, 0.97584, 0.77462, 1.2059, 0.007228, 0.007228, 0.007228
|
11 |
+
9, 1.0527, 0.94017, 1.1731, 0.95597, 0.71193, 0.86125, 0.65005, 0.91484, 0.85884, 1.2169, 0.006832, 0.006832, 0.006832
|
12 |
+
10, 1.0033, 0.87205, 1.1347, 0.87874, 0.78306, 0.86384, 0.64664, 1.0903, 1.0933, 1.3083, 0.006436, 0.006436, 0.006436
|
13 |
+
11, 1.0323, 0.9015, 1.155, 0.93938, 0.81763, 0.88527, 0.68474, 0.80315, 0.67892, 1.1161, 0.00604, 0.00604, 0.00604
|
14 |
+
12, 0.94888, 0.82974, 1.1142, 0.92072, 0.89538, 0.94775, 0.74055, 0.7456, 0.60229, 1.0909, 0.005644, 0.005644, 0.005644
|
15 |
+
13, 0.95263, 0.82098, 1.1014, 0.88416, 0.87895, 0.92555, 0.73684, 0.71859, 0.57082, 1.0917, 0.005248, 0.005248, 0.005248
|
16 |
+
14, 0.93728, 0.80152, 1.1045, 0.86332, 0.97447, 0.97486, 0.75394, 0.73517, 0.5666, 1.1112, 0.004852, 0.004852, 0.004852
|
17 |
+
15, 0.78145, 0.69414, 1.0316, 0.87774, 0.98178, 0.94915, 0.74904, 0.71344, 0.58994, 1.0468, 0.004456, 0.004456, 0.004456
|
18 |
+
16, 0.76118, 0.62124, 1.0136, 0.87033, 0.95299, 0.95969, 0.74393, 0.77005, 0.55151, 1.0567, 0.00406, 0.00406, 0.00406
|
19 |
+
17, 0.73619, 0.56324, 1.0036, 0.91827, 0.90776, 0.95149, 0.75998, 0.71221, 0.56726, 1.0332, 0.003664, 0.003664, 0.003664
|
20 |
+
18, 0.6998, 0.54445, 0.96896, 0.93911, 0.92062, 0.95451, 0.80037, 0.67027, 0.59891, 1.0146, 0.003268, 0.003268, 0.003268
|
21 |
+
19, 0.677, 0.5339, 0.96345, 0.97181, 0.91105, 0.96145, 0.78872, 0.6298, 0.51348, 0.99907, 0.002872, 0.002872, 0.002872
|
22 |
+
20, 0.66868, 0.51609, 0.97986, 0.96251, 0.92399, 0.96672, 0.787, 0.60393, 0.48628, 0.97807, 0.002476, 0.002476, 0.002476
|
23 |
+
21, 0.63428, 0.46587, 0.95194, 0.95913, 0.98242, 0.98578, 0.79487, 0.62502, 0.47512, 1.0074, 0.00208, 0.00208, 0.00208
|
24 |
+
22, 0.64815, 0.48012, 0.9351, 0.97957, 0.95964, 0.98413, 0.8078, 0.59537, 0.4649, 0.99254, 0.001684, 0.001684, 0.001684
|
25 |
+
23, 0.62389, 0.46147, 0.93615, 0.9901, 0.95629, 0.98864, 0.83926, 0.60863, 0.42025, 0.99957, 0.001288, 0.001288, 0.001288
|
26 |
+
24, 0.60154, 0.4237, 0.9411, 0.98635, 0.95866, 0.99048, 0.83746, 0.5761, 0.38879, 0.98529, 0.000892, 0.000892, 0.000892
|
detect/train3/results.png
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detect/train3/train_batch0.jpg
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detect/train3/train_batch2.jpg
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detect/train3/train_batch316.jpg
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detect/train3/val_batch0_labels.jpg
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detect/train3/val_batch0_pred.jpg
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detect/train3/val_batch1_labels.jpg
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detect/train3/val_batch1_pred.jpg
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detect/val/F1_curve.png
ADDED
detect/val/PR_curve.png
ADDED
detect/val/P_curve.png
ADDED
detect/val/R_curve.png
ADDED
detect/val/confusion_matrix.png
ADDED
detect/val/val_batch0_labels.jpg
ADDED
detect/val/val_batch0_pred.jpg
ADDED
detect/val/val_batch1_labels.jpg
ADDED
detect/val/val_batch1_pred.jpg
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detect/val/val_batch2_labels.jpg
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detect/val/val_batch2_pred.jpg
ADDED
yolov8s.pt
ADDED
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