Upload 9 files
Browse files- .gitattributes +5 -0
- flejes-16/runs/detect/train/args.yaml +98 -0
- flejes-16/runs/detect/train/labels.jpg +3 -0
- flejes-16/runs/detect/train/labels_correlogram.jpg +3 -0
- flejes-16/runs/detect/train/results.csv +68 -0
- flejes-16/runs/detect/train/train_batch0.jpg +3 -0
- flejes-16/runs/detect/train/train_batch1.jpg +3 -0
- flejes-16/runs/detect/train/train_batch2.jpg +3 -0
- flejes-16/runs/detect/train/weights/best.pt +3 -0
- flejes-16/runs/detect/train/weights/last.pt +3 -0
.gitattributes
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@@ -56,3 +56,8 @@ flejes-15/runs/detect/train/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs
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flejes-15/runs/detect/train/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-15/runs/detect/train/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-15/runs/detect/train/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-15/runs/detect/train/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-15/runs/detect/train/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-15/runs/detect/train/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-16/runs/detect/train/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-16/runs/detect/train/labels.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-16/runs/detect/train/train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-16/runs/detect/train/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-16/runs/detect/train/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
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flejes-16/runs/detect/train/args.yaml
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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 |
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model: yolov8l.pt
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data: /workspace/datasets/flejes-16/data.yaml
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epochs: 300
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patience: 50
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batch: 8
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imgsz: 1280
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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: 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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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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| 63 |
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int8: false
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| 64 |
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dynamic: false
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| 65 |
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simplify: false
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| 66 |
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opset: null
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workspace: 4
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| 68 |
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nms: false
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| 69 |
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lr0: 0.01
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| 70 |
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lrf: 0.01
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| 71 |
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momentum: 0.937
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| 72 |
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weight_decay: 0.0005
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| 73 |
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warmup_epochs: 3.0
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| 74 |
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warmup_momentum: 0.8
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| 75 |
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warmup_bias_lr: 0.1
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| 76 |
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box: 7.5
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cls: 0.5
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| 78 |
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dfl: 1.5
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| 79 |
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pose: 12.0
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| 80 |
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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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| 86 |
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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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| 98 |
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save_dir: runs/detect/train
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flejes-16/runs/detect/train/labels.jpg
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Git LFS Details
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flejes-16/runs/detect/train/labels_correlogram.jpg
ADDED
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Git LFS Details
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flejes-16/runs/detect/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 |
+
1, 1.5207, 1.3121, 1.2344, 0.77406, 0.25007, 0.31108, 0.19408, 1.5457, 1.0928, 1.2752, 0.0033304, 0.0033304, 0.0033304
|
| 3 |
+
2, 1.4163, 0.90403, 1.1507, 0.61901, 0.31611, 0.39592, 0.24506, 1.5634, 1.0136, 1.2708, 0.0066418, 0.0066418, 0.0066418
|
| 4 |
+
3, 1.435, 0.88479, 1.1576, 0.67161, 0.25647, 0.35811, 0.22552, 1.5327, 1.0645, 1.26, 0.0099311, 0.0099311, 0.0099311
|
| 5 |
+
4, 1.4322, 0.87912, 1.1637, 0.59986, 0.35309, 0.3825, 0.23613, 1.5315, 0.95206, 1.2621, 0.009901, 0.009901, 0.009901
|
| 6 |
+
5, 1.408, 0.83585, 1.1502, 0.55872, 0.3534, 0.40462, 0.25308, 1.5355, 0.97073, 1.268, 0.009901, 0.009901, 0.009901
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| 7 |
+
6, 1.3942, 0.8105, 1.15, 0.57655, 0.36464, 0.44056, 0.28332, 1.5061, 0.90808, 1.2572, 0.009868, 0.009868, 0.009868
|
| 8 |
+
7, 1.3819, 0.78893, 1.1416, 0.59474, 0.42801, 0.47029, 0.30319, 1.4849, 0.8686, 1.2403, 0.009835, 0.009835, 0.009835
|
| 9 |
+
8, 1.3683, 0.77371, 1.1411, 0.60393, 0.40615, 0.47452, 0.30375, 1.5216, 0.87533, 1.2555, 0.009802, 0.009802, 0.009802
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| 10 |
+
9, 1.3597, 0.74725, 1.1375, 0.5984, 0.43478, 0.47143, 0.3042, 1.5032, 0.81001, 1.249, 0.009769, 0.009769, 0.009769
|
| 11 |
+
10, 1.3494, 0.74676, 1.1314, 0.55535, 0.46347, 0.48033, 0.30994, 1.472, 0.87484, 1.2397, 0.009736, 0.009736, 0.009736
|
| 12 |
+
11, 1.3441, 0.73676, 1.1274, 0.70121, 0.44017, 0.5153, 0.3256, 1.5, 0.77122, 1.2425, 0.009703, 0.009703, 0.009703
|
| 13 |
+
12, 1.3371, 0.72058, 1.1242, 0.59514, 0.49982, 0.55472, 0.36212, 1.4816, 0.80704, 1.225, 0.00967, 0.00967, 0.00967
|
| 14 |
+
13, 1.3348, 0.71753, 1.1203, 0.62129, 0.46633, 0.51369, 0.33765, 1.4779, 0.80038, 1.2322, 0.009637, 0.009637, 0.009637
|
| 15 |
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14, 1.3291, 0.70952, 1.1192, 0.68778, 0.46564, 0.54288, 0.3459, 1.5072, 0.73432, 1.2512, 0.009604, 0.009604, 0.009604
|
| 16 |
+
15, 1.3297, 0.70244, 1.1224, 0.64232, 0.51128, 0.56026, 0.36708, 1.4769, 0.75107, 1.2334, 0.009571, 0.009571, 0.009571
|
| 17 |
+
16, 1.3172, 0.70602, 1.1146, 0.6744, 0.45848, 0.53106, 0.34846, 1.4861, 0.76537, 1.2337, 0.009538, 0.009538, 0.009538
|
| 18 |
+
17, 1.3151, 0.6859, 1.1166, 0.70422, 0.52389, 0.59855, 0.38661, 1.4703, 0.71083, 1.2309, 0.009505, 0.009505, 0.009505
|
| 19 |
+
18, 1.3097, 0.68679, 1.1109, 0.63479, 0.56636, 0.58502, 0.38319, 1.4625, 0.71654, 1.2254, 0.009472, 0.009472, 0.009472
|
| 20 |
+
19, 1.3096, 0.68561, 1.1115, 0.65707, 0.53897, 0.58556, 0.38285, 1.4705, 0.7188, 1.2209, 0.009439, 0.009439, 0.009439
|
| 21 |
+
20, 1.3027, 0.67006, 1.1063, 0.73245, 0.51576, 0.57583, 0.37667, 1.4771, 0.709, 1.235, 0.009406, 0.009406, 0.009406
|
| 22 |
+
21, 1.3119, 0.66727, 1.1081, 0.6971, 0.56563, 0.60111, 0.38857, 1.4963, 0.68923, 1.2378, 0.009373, 0.009373, 0.009373
|
| 23 |
+
22, 1.2979, 0.66223, 1.1061, 0.66735, 0.48465, 0.57551, 0.37917, 1.4795, 0.73088, 1.2214, 0.00934, 0.00934, 0.00934
|
| 24 |
+
23, 1.299, 0.65858, 1.1062, 0.68072, 0.49796, 0.5646, 0.36979, 1.486, 0.73483, 1.2429, 0.009307, 0.009307, 0.009307
|
| 25 |
+
24, 1.2919, 0.64515, 1.1105, 0.67827, 0.53861, 0.59109, 0.38505, 1.4825, 0.70047, 1.232, 0.009274, 0.009274, 0.009274
|
| 26 |
+
25, 1.2889, 0.64801, 1.1084, 0.68838, 0.56567, 0.61475, 0.40625, 1.48, 0.66084, 1.235, 0.009241, 0.009241, 0.009241
|
| 27 |
+
26, 1.2899, 0.64283, 1.1044, 0.65177, 0.5432, 0.60493, 0.39568, 1.4824, 0.69423, 1.2285, 0.009208, 0.009208, 0.009208
|
| 28 |
+
27, 1.2871, 0.63534, 1.0961, 0.66759, 0.55222, 0.60426, 0.40071, 1.4767, 0.67037, 1.229, 0.009175, 0.009175, 0.009175
|
| 29 |
+
28, 1.2837, 0.6298, 1.0976, 0.65574, 0.58506, 0.61441, 0.40421, 1.5018, 0.66618, 1.2398, 0.009142, 0.009142, 0.009142
|
| 30 |
+
29, 1.2773, 0.62821, 1.0945, 0.61167, 0.59764, 0.59861, 0.38885, 1.4873, 0.65858, 1.2351, 0.009109, 0.009109, 0.009109
|
| 31 |
+
30, 1.2799, 0.62027, 1.0968, 0.70778, 0.5433, 0.61677, 0.41072, 1.4886, 0.65458, 1.2318, 0.009076, 0.009076, 0.009076
|
| 32 |
+
31, 1.2664, 0.61398, 1.0878, 0.58814, 0.61669, 0.61322, 0.40186, 1.5032, 0.65316, 1.2361, 0.009043, 0.009043, 0.009043
|
| 33 |
+
32, 1.2671, 0.60854, 1.0881, 0.65015, 0.58848, 0.60852, 0.39992, 1.4862, 0.66032, 1.2341, 0.00901, 0.00901, 0.00901
|
| 34 |
+
33, 1.2649, 0.60263, 1.0913, 0.64872, 0.56428, 0.59416, 0.39355, 1.4886, 0.65775, 1.2318, 0.008977, 0.008977, 0.008977
|
| 35 |
+
34, 1.2628, 0.59662, 1.0912, 0.63626, 0.58711, 0.6055, 0.39856, 1.5037, 0.63647, 1.2424, 0.008944, 0.008944, 0.008944
|
| 36 |
+
35, 1.2611, 0.592, 1.0876, 0.66172, 0.55231, 0.58645, 0.38893, 1.4952, 0.64894, 1.2336, 0.008911, 0.008911, 0.008911
|
| 37 |
+
36, 1.26, 0.59849, 1.0871, 0.66538, 0.56738, 0.59479, 0.3954, 1.4936, 0.63727, 1.2386, 0.008878, 0.008878, 0.008878
|
| 38 |
+
37, 1.2541, 0.58501, 1.0822, 0.67758, 0.54379, 0.59562, 0.3968, 1.4889, 0.63552, 1.2395, 0.008845, 0.008845, 0.008845
|
| 39 |
+
38, 1.2539, 0.57393, 1.0847, 0.61484, 0.61021, 0.59464, 0.39714, 1.4917, 0.62861, 1.2361, 0.008812, 0.008812, 0.008812
|
| 40 |
+
39, 1.2515, 0.57152, 1.0873, 0.57807, 0.59104, 0.58896, 0.38539, 1.5079, 0.62846, 1.2436, 0.008779, 0.008779, 0.008779
|
| 41 |
+
40, 1.2483, 0.56938, 1.085, 0.68621, 0.54204, 0.58948, 0.39092, 1.5122, 0.62427, 1.2517, 0.008746, 0.008746, 0.008746
|
| 42 |
+
41, 1.2444, 0.56194, 1.0716, 0.63324, 0.55519, 0.59858, 0.39964, 1.496, 0.62024, 1.2274, 0.008713, 0.008713, 0.008713
|
| 43 |
+
42, 1.236, 0.55639, 1.0776, 0.68548, 0.54828, 0.59532, 0.3968, 1.5057, 0.61948, 1.2436, 0.00868, 0.00868, 0.00868
|
| 44 |
+
43, 1.2363, 0.55939, 1.0757, 0.66173, 0.57117, 0.60434, 0.39926, 1.5085, 0.61459, 1.2465, 0.008647, 0.008647, 0.008647
|
| 45 |
+
44, 1.2291, 0.54996, 1.0711, 0.66142, 0.55175, 0.6182, 0.40959, 1.5112, 0.61047, 1.2464, 0.008614, 0.008614, 0.008614
|
| 46 |
+
45, 1.2296, 0.54968, 1.073, 0.64308, 0.57607, 0.60447, 0.40127, 1.512, 0.60827, 1.2489, 0.008581, 0.008581, 0.008581
|
| 47 |
+
46, 1.2228, 0.54091, 1.0725, 0.65626, 0.61316, 0.6338, 0.42172, 1.5135, 0.60733, 1.2482, 0.008548, 0.008548, 0.008548
|
| 48 |
+
47, 1.2211, 0.53474, 1.0741, 0.61461, 0.59682, 0.61236, 0.41077, 1.5158, 0.60358, 1.2515, 0.008515, 0.008515, 0.008515
|
| 49 |
+
48, 1.2192, 0.53483, 1.0696, 0.61387, 0.60464, 0.6086, 0.40308, 1.5193, 0.60581, 1.2563, 0.008482, 0.008482, 0.008482
|
| 50 |
+
49, 1.2189, 0.53217, 1.0725, 0.60841, 0.60392, 0.61714, 0.41137, 1.5227, 0.60635, 1.2541, 0.008449, 0.008449, 0.008449
|
| 51 |
+
50, 1.2153, 0.53236, 1.0704, 0.66651, 0.56776, 0.62549, 0.41494, 1.5116, 0.59892, 1.2559, 0.008416, 0.008416, 0.008416
|
| 52 |
+
51, 1.2102, 0.52428, 1.0701, 0.67996, 0.57582, 0.60595, 0.4067, 1.5165, 0.59751, 1.2547, 0.008383, 0.008383, 0.008383
|
| 53 |
+
52, 1.2044, 0.52695, 1.0648, 0.62385, 0.61238, 0.61034, 0.4048, 1.5203, 0.60304, 1.2551, 0.00835, 0.00835, 0.00835
|
| 54 |
+
53, 1.1971, 0.52, 1.0644, 0.60555, 0.62198, 0.61273, 0.4079, 1.5208, 0.59298, 1.26, 0.008317, 0.008317, 0.008317
|
| 55 |
+
54, 1.2013, 0.51485, 1.0635, 0.65334, 0.60359, 0.61495, 0.40759, 1.5174, 0.59131, 1.2532, 0.008284, 0.008284, 0.008284
|
| 56 |
+
55, 1.1922, 0.51355, 1.0594, 0.63678, 0.61616, 0.61485, 0.40494, 1.5212, 0.59052, 1.2555, 0.008251, 0.008251, 0.008251
|
| 57 |
+
56, 1.1927, 0.5114, 1.0651, 0.62633, 0.60435, 0.60503, 0.39946, 1.518, 0.59433, 1.2579, 0.008218, 0.008218, 0.008218
|
| 58 |
+
57, 1.1879, 0.50906, 1.0589, 0.64039, 0.56481, 0.60564, 0.39717, 1.5218, 0.58797, 1.2602, 0.008185, 0.008185, 0.008185
|
| 59 |
+
58, 1.1868, 0.50371, 1.0563, 0.65276, 0.56079, 0.611, 0.40238, 1.5271, 0.59055, 1.262, 0.008152, 0.008152, 0.008152
|
| 60 |
+
59, 1.181, 0.50126, 1.0556, 0.67416, 0.56498, 0.6131, 0.40687, 1.523, 0.59338, 1.2621, 0.008119, 0.008119, 0.008119
|
| 61 |
+
60, 1.1812, 0.49457, 1.0528, 0.71533, 0.55081, 0.61305, 0.40824, 1.5279, 0.58983, 1.2611, 0.008086, 0.008086, 0.008086
|
| 62 |
+
61, 1.172, 0.49615, 1.0511, 0.70961, 0.55447, 0.60667, 0.40423, 1.5301, 0.58851, 1.2626, 0.008053, 0.008053, 0.008053
|
| 63 |
+
62, 1.1747, 0.49483, 1.0478, 0.65982, 0.58872, 0.61828, 0.40989, 1.5264, 0.58735, 1.2604, 0.00802, 0.00802, 0.00802
|
| 64 |
+
63, 1.1686, 0.49197, 1.0483, 0.65774, 0.56865, 0.61015, 0.40851, 1.5264, 0.59017, 1.2601, 0.007987, 0.007987, 0.007987
|
| 65 |
+
64, 1.1625, 0.48679, 1.0482, 0.62237, 0.61597, 0.61494, 0.41154, 1.5288, 0.58897, 1.2624, 0.007954, 0.007954, 0.007954
|
| 66 |
+
65, 1.1575, 0.48343, 1.0483, 0.63846, 0.61445, 0.61974, 0.41037, 1.5316, 0.58921, 1.2632, 0.007921, 0.007921, 0.007921
|
| 67 |
+
66, 1.1555, 0.47982, 1.0457, 0.61245, 0.60213, 0.61439, 0.40654, 1.5311, 0.58696, 1.2683, 0.007888, 0.007888, 0.007888
|
| 68 |
+
67, 1.1523, 0.47735, 1.0436, 0.6248, 0.60695, 0.61473, 0.40629, 1.5265, 0.58163, 1.2672, 0.007855, 0.007855, 0.007855
|
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ADDED
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Git LFS Details
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flejes-16/runs/detect/train/train_batch1.jpg
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Git LFS Details
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flejes-16/runs/detect/train/train_batch2.jpg
ADDED
|
Git LFS Details
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flejes-16/runs/detect/train/weights/best.pt
ADDED
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flejes-16/runs/detect/train/weights/last.pt
ADDED
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