Model trained for 53 epochs
Browse files- train/args.yaml +106 -0
- train/labels.jpg +0 -0
- train/labels_correlogram.jpg +0 -0
- train/results.csv +54 -0
- train/train_batch0.jpg +0 -0
- train/train_batch1.jpg +0 -0
- train/train_batch2.jpg +0 -0
- train/weights/best.pt +3 -0
- train/weights/last.pt +3 -0
- val/F1_curve.png +0 -0
- val/PR_curve.png +0 -0
- val/P_curve.png +0 -0
- val/R_curve.png +0 -0
- val/confusion_matrix.png +0 -0
- val/confusion_matrix_normalized.png +0 -0
- val/val_batch0_labels.jpg +0 -0
- val/val_batch0_pred.jpg +0 -0
- val/val_batch1_labels.jpg +0 -0
- val/val_batch1_pred.jpg +0 -0
- val/val_batch2_labels.jpg +0 -0
- val/val_batch2_pred.jpg +0 -0
train/args.yaml
ADDED
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| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: /mnt/c/local/models/yolo11x.pt
|
| 4 |
+
data: /mnt/c/local/datasets/cocohumanparts/data.yaml
|
| 5 |
+
epochs: 100
|
| 6 |
+
time: null
|
| 7 |
+
patience: 100
|
| 8 |
+
batch: 16
|
| 9 |
+
imgsz: 640
|
| 10 |
+
save: true
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| 11 |
+
save_period: -1
|
| 12 |
+
cache: false
|
| 13 |
+
device: cuda
|
| 14 |
+
workers: 8
|
| 15 |
+
project: /mnt/c/local/logs/cocohumanparts/yolo11x
|
| 16 |
+
name: train
|
| 17 |
+
exist_ok: false
|
| 18 |
+
pretrained: true
|
| 19 |
+
optimizer: auto
|
| 20 |
+
verbose: true
|
| 21 |
+
seed: 0
|
| 22 |
+
deterministic: true
|
| 23 |
+
single_cls: false
|
| 24 |
+
rect: false
|
| 25 |
+
cos_lr: false
|
| 26 |
+
close_mosaic: 10
|
| 27 |
+
resume: false
|
| 28 |
+
amp: true
|
| 29 |
+
fraction: 1.0
|
| 30 |
+
profile: false
|
| 31 |
+
freeze: null
|
| 32 |
+
multi_scale: false
|
| 33 |
+
overlap_mask: true
|
| 34 |
+
mask_ratio: 4
|
| 35 |
+
dropout: 0.0
|
| 36 |
+
val: true
|
| 37 |
+
split: val
|
| 38 |
+
save_json: false
|
| 39 |
+
save_hybrid: false
|
| 40 |
+
conf: null
|
| 41 |
+
iou: 0.7
|
| 42 |
+
max_det: 300
|
| 43 |
+
half: false
|
| 44 |
+
dnn: false
|
| 45 |
+
plots: true
|
| 46 |
+
source: null
|
| 47 |
+
vid_stride: 1
|
| 48 |
+
stream_buffer: false
|
| 49 |
+
visualize: false
|
| 50 |
+
augment: false
|
| 51 |
+
agnostic_nms: false
|
| 52 |
+
classes: null
|
| 53 |
+
retina_masks: false
|
| 54 |
+
embed: null
|
| 55 |
+
show: false
|
| 56 |
+
save_frames: false
|
| 57 |
+
save_txt: false
|
| 58 |
+
save_conf: false
|
| 59 |
+
save_crop: false
|
| 60 |
+
show_labels: true
|
| 61 |
+
show_conf: true
|
| 62 |
+
show_boxes: true
|
| 63 |
+
line_width: null
|
| 64 |
+
format: torchscript
|
| 65 |
+
keras: false
|
| 66 |
+
optimize: false
|
| 67 |
+
int8: false
|
| 68 |
+
dynamic: false
|
| 69 |
+
simplify: true
|
| 70 |
+
opset: null
|
| 71 |
+
workspace: null
|
| 72 |
+
nms: false
|
| 73 |
+
lr0: 0.01
|
| 74 |
+
lrf: 0.01
|
| 75 |
+
momentum: 0.937
|
| 76 |
+
weight_decay: 0.0005
|
| 77 |
+
warmup_epochs: 3.0
|
| 78 |
+
warmup_momentum: 0.8
|
| 79 |
+
warmup_bias_lr: 0.1
|
| 80 |
+
box: 7.5
|
| 81 |
+
cls: 0.5
|
| 82 |
+
dfl: 1.5
|
| 83 |
+
pose: 12.0
|
| 84 |
+
kobj: 1.0
|
| 85 |
+
nbs: 64
|
| 86 |
+
hsv_h: 0.015
|
| 87 |
+
hsv_s: 0.7
|
| 88 |
+
hsv_v: 0.4
|
| 89 |
+
degrees: 0.0
|
| 90 |
+
translate: 0.1
|
| 91 |
+
scale: 0.5
|
| 92 |
+
shear: 0.0
|
| 93 |
+
perspective: 0.0
|
| 94 |
+
flipud: 0.0
|
| 95 |
+
fliplr: 0.5
|
| 96 |
+
bgr: 0.0
|
| 97 |
+
mosaic: 1.0
|
| 98 |
+
mixup: 0.0
|
| 99 |
+
copy_paste: 0.0
|
| 100 |
+
copy_paste_mode: flip
|
| 101 |
+
auto_augment: randaugment
|
| 102 |
+
erasing: 0.4
|
| 103 |
+
crop_fraction: 1.0
|
| 104 |
+
cfg: null
|
| 105 |
+
tracker: botsort.yaml
|
| 106 |
+
save_dir: /mnt/c/local/logs/cocohumanparts/yolo11x/train
|
train/labels.jpg
ADDED
|
train/labels_correlogram.jpg
ADDED
|
train/results.csv
ADDED
|
@@ -0,0 +1,54 @@
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|
| 1 |
+
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
|
| 2 |
+
1,1820.98,1.115,0.89914,1.09855,0.56382,0.54578,0.46869,0.2896,1.11103,0.81489,1.05722,0.0033325,0.0033325,0.0033325
|
| 3 |
+
2,3559.75,1.18557,0.90507,1.12565,0.55132,0.52715,0.46175,0.27967,1.1441,0.85336,1.09138,0.00659984,0.00659984,0.00659984
|
| 4 |
+
3,5269.53,1.26917,1.01151,1.17613,0.55121,0.50213,0.44482,0.26792,1.18252,0.89343,1.12208,0.00980118,0.00980118,0.00980118
|
| 5 |
+
4,6972.48,1.27836,1.02133,1.18345,0.56306,0.52968,0.46782,0.28674,1.13387,0.84013,1.09356,0.009703,0.009703,0.009703
|
| 6 |
+
5,8677.54,1.22892,0.95743,1.15755,0.57928,0.54098,0.47574,0.29532,1.10464,0.80118,1.07925,0.009604,0.009604,0.009604
|
| 7 |
+
6,10366.9,1.19916,0.92032,1.14248,0.58238,0.55974,0.48986,0.30547,1.0862,0.7731,1.06831,0.009505,0.009505,0.009505
|
| 8 |
+
7,12061.7,1.17924,0.89741,1.13098,0.58598,0.56483,0.49227,0.31003,1.0705,0.75822,1.05679,0.009406,0.009406,0.009406
|
| 9 |
+
8,13748.4,1.16722,0.88171,1.12345,0.58273,0.57402,0.50023,0.31538,1.05728,0.74598,1.05163,0.009307,0.009307,0.009307
|
| 10 |
+
9,15435.9,1.1544,0.86637,1.11711,0.58989,0.58029,0.50578,0.31978,1.05063,0.7367,1.0463,0.009208,0.009208,0.009208
|
| 11 |
+
10,17127.5,1.14827,0.85563,1.11096,0.58933,0.58823,0.51209,0.32466,1.04144,0.72612,1.04056,0.009109,0.009109,0.009109
|
| 12 |
+
11,18856,1.1402,0.84624,1.10707,0.5884,0.59418,0.51539,0.32727,1.03797,0.71974,1.03954,0.00901,0.00901,0.00901
|
| 13 |
+
12,20602.9,1.13478,0.84065,1.10379,0.59003,0.59316,0.51715,0.32881,1.0367,0.71602,1.03865,0.008911,0.008911,0.008911
|
| 14 |
+
13,22348.7,1.12894,0.83426,1.09804,0.59315,0.59424,0.51911,0.33038,1.03214,0.71267,1.03536,0.008812,0.008812,0.008812
|
| 15 |
+
14,24139.7,1.1241,0.82935,1.09709,0.59325,0.59678,0.5201,0.33139,1.03091,0.70983,1.03464,0.008713,0.008713,0.008713
|
| 16 |
+
15,25961.9,1.11833,0.82329,1.0943,0.59251,0.59953,0.52202,0.33269,1.02798,0.70762,1.03292,0.008614,0.008614,0.008614
|
| 17 |
+
16,27681.3,1.11556,0.81947,1.09245,0.59182,0.60289,0.52293,0.33356,1.02716,0.70571,1.0327,0.008515,0.008515,0.008515
|
| 18 |
+
17,29407.1,1.11281,0.8148,1.08948,0.59258,0.60264,0.52414,0.33437,1.02621,0.70411,1.03184,0.008416,0.008416,0.008416
|
| 19 |
+
18,31121.8,1.10887,0.81194,1.08961,0.59145,0.60432,0.52397,0.33444,1.02483,0.70283,1.03147,0.008317,0.008317,0.008317
|
| 20 |
+
19,32809.3,1.10838,0.81007,1.08863,0.59318,0.60494,0.52489,0.33536,1.02334,0.70209,1.03052,0.008218,0.008218,0.008218
|
| 21 |
+
20,34496.3,1.10609,0.80472,1.08589,0.59379,0.60452,0.52523,0.33587,1.02238,0.70076,1.0295,0.008119,0.008119,0.008119
|
| 22 |
+
21,36183.2,1.10278,0.80251,1.08358,0.5933,0.60658,0.52601,0.33639,1.02121,0.69944,1.02892,0.00802,0.00802,0.00802
|
| 23 |
+
22,37869.1,1.09981,0.80012,1.08352,0.59294,0.6066,0.52683,0.3371,1.02016,0.69836,1.02854,0.007921,0.007921,0.007921
|
| 24 |
+
23,39556,1.09719,0.79738,1.08384,0.59274,0.60911,0.5278,0.33764,1.01926,0.69774,1.02816,0.007822,0.007822,0.007822
|
| 25 |
+
24,41244.6,1.09543,0.79385,1.08184,0.5925,0.60896,0.52805,0.33813,1.01855,0.69663,1.02796,0.007723,0.007723,0.007723
|
| 26 |
+
25,42934.2,1.09438,0.79195,1.07953,0.59283,0.61087,0.52838,0.33858,1.01795,0.6951,1.02769,0.007624,0.007624,0.007624
|
| 27 |
+
26,44624.1,1.0927,0.79033,1.07903,0.59299,0.61189,0.52902,0.33914,1.01705,0.69415,1.0271,0.007525,0.007525,0.007525
|
| 28 |
+
27,46310.7,1.09072,0.78831,1.07695,0.59351,0.61342,0.53047,0.33975,1.01639,0.69315,1.02652,0.007426,0.007426,0.007426
|
| 29 |
+
28,48003.2,1.08859,0.78561,1.07752,0.59342,0.61395,0.53112,0.34054,1.01552,0.6919,1.02614,0.007327,0.007327,0.007327
|
| 30 |
+
29,49693.5,1.08775,0.78369,1.07666,0.59349,0.61419,0.5314,0.34062,1.01441,0.69078,1.02552,0.007228,0.007228,0.007228
|
| 31 |
+
30,51383,1.0845,0.7814,1.07502,0.59445,0.61383,0.53213,0.34125,1.01354,0.68972,1.02524,0.007129,0.007129,0.007129
|
| 32 |
+
31,53077.3,1.08449,0.78128,1.07403,0.59456,0.61425,0.53323,0.34196,1.01278,0.68845,1.02461,0.00703,0.00703,0.00703
|
| 33 |
+
32,54761.6,1.0821,0.77768,1.07167,0.59511,0.61457,0.53397,0.34254,1.01214,0.6876,1.02401,0.006931,0.006931,0.006931
|
| 34 |
+
33,56446,1.08059,0.77564,1.07371,0.59504,0.61527,0.53425,0.34281,1.01172,0.68686,1.02364,0.006832,0.006832,0.006832
|
| 35 |
+
34,58136.1,1.07837,0.77421,1.07156,0.59603,0.61543,0.5347,0.34334,1.01114,0.68609,1.02318,0.006733,0.006733,0.006733
|
| 36 |
+
35,59826,1.07857,0.77199,1.07069,0.59586,0.61562,0.53541,0.34398,1.01059,0.68476,1.02275,0.006634,0.006634,0.006634
|
| 37 |
+
36,61517.6,1.07647,0.77154,1.06988,0.59613,0.6165,0.53609,0.34461,1.0098,0.68388,1.02234,0.006535,0.006535,0.006535
|
| 38 |
+
37,63208.3,1.07338,0.76789,1.06787,0.5965,0.61728,0.53698,0.34531,1.00919,0.68285,1.02205,0.006436,0.006436,0.006436
|
| 39 |
+
38,64901.5,1.0721,0.76593,1.06745,0.59684,0.61714,0.53723,0.34568,1.00796,0.68195,1.02147,0.006337,0.006337,0.006337
|
| 40 |
+
39,66592.8,1.07176,0.76595,1.06874,0.5975,0.617,0.53802,0.34608,1.00712,0.68104,1.02096,0.006238,0.006238,0.006238
|
| 41 |
+
40,68287.4,1.07064,0.76399,1.06757,0.59703,0.6182,0.53836,0.34648,1.00645,0.67979,1.02072,0.006139,0.006139,0.006139
|
| 42 |
+
41,70019.4,1.06918,0.76233,1.06734,0.59678,0.61799,0.5389,0.34696,1.00581,0.67896,1.02038,0.00604,0.00604,0.00604
|
| 43 |
+
42,71758.1,1.0663,0.75977,1.06455,0.59659,0.61913,0.53936,0.34758,1.00476,0.67834,1.01978,0.005941,0.005941,0.005941
|
| 44 |
+
43,73495.4,1.06497,0.75822,1.06314,0.59762,0.61858,0.54003,0.34788,1.00448,0.67767,1.01954,0.005842,0.005842,0.005842
|
| 45 |
+
44,75197.2,1.06487,0.75805,1.06392,0.5973,0.61974,0.54056,0.34833,1.00403,0.67712,1.01927,0.005743,0.005743,0.005743
|
| 46 |
+
45,76889.9,1.0604,0.75527,1.06264,0.59794,0.62039,0.54095,0.34863,1.00356,0.67628,1.01883,0.005644,0.005644,0.005644
|
| 47 |
+
46,78585.6,1.05935,0.75213,1.05973,0.59783,0.62074,0.5413,0.34903,1.00344,0.67573,1.01838,0.005545,0.005545,0.005545
|
| 48 |
+
47,80278.5,1.05952,0.75305,1.06033,0.59817,0.62206,0.54191,0.34949,1.0032,0.67511,1.01789,0.005446,0.005446,0.005446
|
| 49 |
+
48,81970.9,1.05657,0.75011,1.05839,0.59999,0.62143,0.54237,0.34965,1.00313,0.67471,1.01739,0.005347,0.005347,0.005347
|
| 50 |
+
49,83661.8,1.05498,0.74685,1.05867,0.59978,0.62147,0.54331,0.35023,1.00234,0.67372,1.01667,0.005248,0.005248,0.005248
|
| 51 |
+
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| 52 |
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| 53 |
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train/train_batch0.jpg
ADDED
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train/train_batch1.jpg
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train/train_batch2.jpg
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train/weights/best.pt
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size 228361228
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train/weights/last.pt
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val/F1_curve.png
ADDED
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val/PR_curve.png
ADDED
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val/P_curve.png
ADDED
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val/R_curve.png
ADDED
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val/confusion_matrix.png
ADDED
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val/confusion_matrix_normalized.png
ADDED
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val/val_batch0_labels.jpg
ADDED
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val/val_batch0_pred.jpg
ADDED
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val/val_batch1_labels.jpg
ADDED
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val/val_batch1_pred.jpg
ADDED
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val/val_batch2_labels.jpg
ADDED
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val/val_batch2_pred.jpg
ADDED
|