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- .gitattributes +7 -0
- train/F1_curve.png +0 -0
- train/PR_curve.png +0 -0
- train/P_curve.png +0 -0
- train/R_curve.png +0 -0
- train/args.yaml +108 -0
- train/confusion_matrix.png +0 -0
- train/confusion_matrix_normalized.png +0 -0
- train/events.out.tfevents.1718656247.dev-a.1789075.0 +3 -0
- train/labels.jpg +0 -0
- train/labels_correlogram.jpg +0 -0
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- train/results.png +0 -0
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- train/val_batch1_pred.jpg +0 -0
- train/val_batch2_labels.jpg +0 -0
- train/val_batch2_pred.jpg +0 -0
- train/weights/best.pt +3 -0
- train/weights/last.pt +3 -0
- train2/F1_curve.png +0 -0
- train2/PR_curve.png +0 -0
- train2/P_curve.png +0 -0
- train2/R_curve.png +0 -0
- train2/args.yaml +108 -0
- train2/confusion_matrix.png +0 -0
- train2/confusion_matrix_normalized.png +0 -0
- train2/events.out.tfevents.1718663778.dev-a.1867961.0 +3 -0
- train2/labels.jpg +0 -0
- train2/labels_correlogram.jpg +0 -0
- train2/results.csv +101 -0
- train2/results.png +0 -0
- train2/train_batch0.jpg +0 -0
- train2/train_batch1.jpg +0 -0
- train2/train_batch19440.jpg +0 -0
- train2/train_batch19441.jpg +0 -0
- train2/train_batch19442.jpg +0 -0
- train2/train_batch2.jpg +0 -0
- train2/val_batch0_labels.jpg +0 -0
- train2/val_batch0_pred.jpg +0 -0
- train2/val_batch1_labels.jpg +0 -0
- train2/val_batch1_pred.jpg +0 -0
- train2/val_batch2_labels.jpg +0 -0
.gitattributes
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@@ -33,3 +33,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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train4/train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
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train4/val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
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train4/val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
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train4/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
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train4/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
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train4/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
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train4/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
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train/F1_curve.png
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train/PR_curve.png
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train/P_curve.png
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train/R_curve.png
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train/args.yaml
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| 1 |
+
task: detect
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| 2 |
+
mode: train
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| 3 |
+
model: yolov9c.pt
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| 4 |
+
data: data.yaml
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| 5 |
+
epochs: 100
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| 6 |
+
time: null
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| 7 |
+
patience: 100
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| 8 |
+
batch: 16
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| 9 |
+
imgsz: 1280
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| 10 |
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save: true
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| 11 |
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save_period: -1
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| 12 |
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cache: false
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| 13 |
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device:
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| 14 |
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- 0
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| 15 |
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- 1
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| 16 |
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workers: 8
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| 17 |
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project: null
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| 18 |
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name: train
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| 19 |
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exist_ok: false
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| 20 |
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pretrained: true
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| 21 |
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optimizer: auto
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| 22 |
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verbose: true
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| 23 |
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seed: 0
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| 24 |
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deterministic: true
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| 25 |
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single_cls: false
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| 26 |
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rect: false
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| 27 |
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cos_lr: false
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| 28 |
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close_mosaic: 10
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| 29 |
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resume: false
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| 30 |
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amp: true
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| 31 |
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fraction: 1.0
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| 32 |
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profile: false
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| 33 |
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freeze: null
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| 34 |
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multi_scale: false
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| 35 |
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overlap_mask: true
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| 36 |
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mask_ratio: 4
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| 37 |
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dropout: 0.0
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| 38 |
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val: true
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| 39 |
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split: val
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| 40 |
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save_json: false
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| 41 |
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save_hybrid: false
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| 42 |
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conf: null
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| 43 |
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iou: 0.7
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| 44 |
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max_det: 300
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| 45 |
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half: false
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| 46 |
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dnn: false
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| 47 |
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plots: true
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| 48 |
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source: null
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| 49 |
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vid_stride: 1
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| 50 |
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stream_buffer: false
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| 51 |
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visualize: false
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| 52 |
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augment: false
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| 53 |
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agnostic_nms: false
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| 54 |
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classes: null
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| 55 |
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retina_masks: false
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| 56 |
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embed: null
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| 57 |
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show: false
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| 58 |
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save_frames: false
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| 59 |
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save_txt: false
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| 60 |
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save_conf: false
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| 61 |
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save_crop: false
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| 62 |
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show_labels: true
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| 63 |
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show_conf: true
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| 64 |
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show_boxes: true
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| 65 |
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line_width: null
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| 66 |
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format: torchscript
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| 67 |
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keras: false
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| 68 |
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optimize: false
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| 69 |
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int8: false
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| 70 |
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dynamic: false
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| 71 |
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simplify: false
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| 72 |
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opset: null
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| 73 |
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workspace: 4
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| 74 |
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nms: false
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| 75 |
+
lr0: 0.01
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| 76 |
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lrf: 0.01
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| 77 |
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momentum: 0.937
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| 78 |
+
weight_decay: 0.0005
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| 79 |
+
warmup_epochs: 3.0
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| 80 |
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warmup_momentum: 0.8
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| 81 |
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warmup_bias_lr: 0.1
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| 82 |
+
box: 7.5
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| 83 |
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cls: 0.5
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| 84 |
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dfl: 1.5
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| 85 |
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pose: 12.0
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| 86 |
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kobj: 1.0
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| 87 |
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label_smoothing: 0.0
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| 88 |
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nbs: 64
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| 89 |
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hsv_h: 0.015
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| 90 |
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hsv_s: 0.7
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| 91 |
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hsv_v: 0.4
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| 92 |
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degrees: 0.0
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| 93 |
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translate: 0.1
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| 94 |
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scale: 0.5
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| 95 |
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shear: 0.0
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| 96 |
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perspective: 0.0
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| 97 |
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flipud: 0.0
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| 98 |
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fliplr: 0.5
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| 99 |
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bgr: 0.0
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| 100 |
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mosaic: 1.0
|
| 101 |
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mixup: 0.0
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| 102 |
+
copy_paste: 0.0
|
| 103 |
+
auto_augment: randaugment
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| 104 |
+
erasing: 0.4
|
| 105 |
+
crop_fraction: 1.0
|
| 106 |
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cfg: null
|
| 107 |
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tracker: botsort.yaml
|
| 108 |
+
save_dir: runs/detect/train
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train/confusion_matrix.png
ADDED
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train/confusion_matrix_normalized.png
ADDED
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train/events.out.tfevents.1718656247.dev-a.1789075.0
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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| 3 |
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size 544469
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train/labels.jpg
ADDED
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train/labels_correlogram.jpg
ADDED
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train/results.csv
ADDED
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| 1 |
+
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 |
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1, 0.93802, 0.85463, 1.2939, 0.81835, 0.88469, 0.91841, 0.69394, 0.89754, 0.82821, 1.2814, 0.0002369, 0.0002369, 0.0002369
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| 3 |
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2, 0.79989, 0.5953, 1.1921, 0.84225, 0.8707, 0.93305, 0.73596, 0.80269, 0.62236, 1.2156, 0.0004702, 0.0004702, 0.0004702
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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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| 70 |
+
69, 0.43905, 0.2502, 0.94875, 0.88228, 0.88522, 0.94417, 0.81946, 0.64422, 0.47055, 1.1486, 0.00023334, 0.00023334, 0.00023334
|
| 71 |
+
70, 0.44467, 0.25036, 0.95008, 0.88348, 0.88559, 0.94104, 0.81221, 0.64964, 0.46898, 1.1425, 0.00022627, 0.00022627, 0.00022627
|
| 72 |
+
71, 0.44086, 0.25045, 0.95295, 0.8785, 0.88821, 0.94064, 0.81383, 0.64967, 0.47946, 1.157, 0.0002192, 0.0002192, 0.0002192
|
| 73 |
+
72, 0.43276, 0.24393, 0.94684, 0.89026, 0.88298, 0.93933, 0.80935, 0.64479, 0.4671, 1.1533, 0.00021213, 0.00021213, 0.00021213
|
| 74 |
+
73, 0.43067, 0.24636, 0.94848, 0.87999, 0.8893, 0.94365, 0.81937, 0.65137, 0.47165, 1.1626, 0.00020506, 0.00020506, 0.00020506
|
| 75 |
+
74, 0.42886, 0.24114, 0.94406, 0.88841, 0.88462, 0.94427, 0.82353, 0.64303, 0.46437, 1.1555, 0.00019799, 0.00019799, 0.00019799
|
| 76 |
+
75, 0.42605, 0.23835, 0.94246, 0.88665, 0.87783, 0.94209, 0.81916, 0.65203, 0.47848, 1.1581, 0.00019092, 0.00019092, 0.00019092
|
| 77 |
+
76, 0.42221, 0.23495, 0.93687, 0.88412, 0.89003, 0.94339, 0.82262, 0.64351, 0.47217, 1.1514, 0.00018385, 0.00018385, 0.00018385
|
| 78 |
+
77, 0.41984, 0.23369, 0.93023, 0.89821, 0.87263, 0.9425, 0.81934, 0.64896, 0.47503, 1.1528, 0.00017679, 0.00017679, 0.00017679
|
| 79 |
+
78, 0.41404, 0.23192, 0.92643, 0.90069, 0.86999, 0.94191, 0.81943, 0.65001, 0.48703, 1.1389, 0.00016972, 0.00016972, 0.00016972
|
| 80 |
+
79, 0.41662, 0.23102, 0.92967, 0.87905, 0.89609, 0.94126, 0.81547, 0.65076, 0.47305, 1.1452, 0.00016265, 0.00016265, 0.00016265
|
| 81 |
+
80, 0.41104, 0.22812, 0.92858, 0.89224, 0.88247, 0.94117, 0.81795, 0.64771, 0.48129, 1.1548, 0.00015558, 0.00015558, 0.00015558
|
| 82 |
+
81, 0.41088, 0.2286, 0.93086, 0.8756, 0.89268, 0.94036, 0.81567, 0.65413, 0.48547, 1.1636, 0.00014851, 0.00014851, 0.00014851
|
| 83 |
+
82, 0.40513, 0.224, 0.92496, 0.89587, 0.87448, 0.93972, 0.8173, 0.64992, 0.48905, 1.1564, 0.00014144, 0.00014144, 0.00014144
|
| 84 |
+
83, 0.40768, 0.22506, 0.92675, 0.89668, 0.87365, 0.93887, 0.81723, 0.65566, 0.48986, 1.1621, 0.00013437, 0.00013437, 0.00013437
|
| 85 |
+
84, 0.40486, 0.22298, 0.92618, 0.8957, 0.871, 0.9389, 0.81741, 0.65429, 0.49256, 1.1667, 0.00012731, 0.00012731, 0.00012731
|
| 86 |
+
85, 0.39801, 0.21908, 0.92681, 0.89443, 0.87511, 0.93928, 0.81911, 0.65308, 0.49653, 1.1722, 0.00012024, 0.00012024, 0.00012024
|
| 87 |
+
86, 0.3981, 0.22274, 0.92915, 0.88799, 0.87922, 0.93943, 0.81836, 0.65031, 0.49286, 1.1772, 0.00011317, 0.00011317, 0.00011317
|
| 88 |
+
87, 0.39819, 0.2184, 0.928, 0.88062, 0.88852, 0.94071, 0.82124, 0.64679, 0.48854, 1.1704, 0.0001061, 0.0001061, 0.0001061
|
| 89 |
+
88, 0.39571, 0.21749, 0.92303, 0.88591, 0.8823, 0.94098, 0.82364, 0.64679, 0.49451, 1.1695, 9.9032e-05, 9.9032e-05, 9.9032e-05
|
| 90 |
+
89, 0.39132, 0.21612, 0.92307, 0.89071, 0.882, 0.93962, 0.82143, 0.64666, 0.49898, 1.1722, 9.1963e-05, 9.1963e-05, 9.1963e-05
|
| 91 |
+
90, 0.38807, 0.21152, 0.91906, 0.8906, 0.87775, 0.93909, 0.82032, 0.64789, 0.49923, 1.1703, 8.4895e-05, 8.4895e-05, 8.4895e-05
|
| 92 |
+
91, 0.35887, 0.18424, 0.89309, 0.88797, 0.88036, 0.94086, 0.82045, 0.65183, 0.49429, 1.1745, 7.7826e-05, 7.7826e-05, 7.7826e-05
|
| 93 |
+
92, 0.34715, 0.17659, 0.88599, 0.88536, 0.88127, 0.93948, 0.8201, 0.65388, 0.50866, 1.1744, 7.0757e-05, 7.0757e-05, 7.0757e-05
|
| 94 |
+
93, 0.34718, 0.17481, 0.88696, 0.89188, 0.87551, 0.94053, 0.82077, 0.65426, 0.50314, 1.1734, 6.3689e-05, 6.3689e-05, 6.3689e-05
|
| 95 |
+
94, 0.33975, 0.17158, 0.88026, 0.88468, 0.88002, 0.93968, 0.82001, 0.65572, 0.50799, 1.1724, 5.662e-05, 5.662e-05, 5.662e-05
|
| 96 |
+
95, 0.33696, 0.16865, 0.87968, 0.88857, 0.87542, 0.93878, 0.82052, 0.65288, 0.51704, 1.1771, 4.9552e-05, 4.9552e-05, 4.9552e-05
|
| 97 |
+
96, 0.33081, 0.16645, 0.87461, 0.88251, 0.88126, 0.93771, 0.82042, 0.652, 0.52149, 1.1795, 4.2483e-05, 4.2483e-05, 4.2483e-05
|
| 98 |
+
97, 0.32963, 0.16705, 0.87492, 0.88451, 0.87971, 0.93827, 0.82018, 0.65346, 0.52063, 1.1817, 3.5414e-05, 3.5414e-05, 3.5414e-05
|
| 99 |
+
98, 0.33067, 0.16518, 0.8781, 0.89326, 0.87442, 0.93848, 0.82125, 0.6519, 0.52133, 1.1839, 2.8346e-05, 2.8346e-05, 2.8346e-05
|
| 100 |
+
99, 0.3285, 0.16244, 0.87243, 0.89253, 0.87087, 0.93791, 0.82094, 0.65154, 0.52191, 1.1799, 2.1277e-05, 2.1277e-05, 2.1277e-05
|
| 101 |
+
100, 0.32309, 0.16224, 0.87133, 0.89661, 0.86902, 0.93702, 0.81975, 0.65359, 0.52343, 1.1812, 1.4209e-05, 1.4209e-05, 1.4209e-05
|
train2/results.png
ADDED
|
train2/train_batch0.jpg
ADDED
|
train2/train_batch1.jpg
ADDED
|
train2/train_batch19440.jpg
ADDED
|
train2/train_batch19441.jpg
ADDED
|
train2/train_batch19442.jpg
ADDED
|
train2/train_batch2.jpg
ADDED
|
train2/val_batch0_labels.jpg
ADDED
|
train2/val_batch0_pred.jpg
ADDED
|
train2/val_batch1_labels.jpg
ADDED
|
train2/val_batch1_pred.jpg
ADDED
|
train2/val_batch2_labels.jpg
ADDED
|