[CF]提交文件

This commit is contained in:
songbingle 2025-06-06 11:47:48 +08:00
parent 698bef6909
commit 48fde32a15
142 changed files with 877 additions and 3 deletions

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task: detect
mode: train
model: C:\workspace\le-yolo\runs\detect\train32\weights\last.pt
data: data.yaml
epochs: 100
time: null
patience: 100
batch: 8
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: null
name: train33
exist_ok: false
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optimizer: auto
verbose: true
seed: 0
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amp: true
fraction: 1.0
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mask_ratio: 4
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val: true
split: val
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conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
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visualize: false
augment: false
agnostic_nms: false
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retina_masks: false
embed: null
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format: torchscript
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int8: false
dynamic: false
simplify: true
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momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3.0
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dfl: 1.5
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78,561.921,0.57097,0.41445,0.85327,1,0.70093,0.88844,0.65085,1.68997,1.18694,2.22683,0.0004754,0.0004754,0.0004754
79,568.846,0.51543,0.37269,0.84214,0.89922,0.76596,0.88907,0.65468,1.7087,1.14563,2.29639,0.0004556,0.0004556,0.0004556
80,575.838,0.4212,0.36157,0.80088,0.89922,0.76596,0.88907,0.65468,1.7087,1.14563,2.29639,0.0004358,0.0004358,0.0004358
81,582.915,0.43493,0.34956,0.86446,0.8851,0.76596,0.88814,0.64662,1.73325,1.09494,2.37416,0.000416,0.000416,0.000416
82,590.111,0.43562,0.34379,0.81383,0.8851,0.76596,0.88814,0.64662,1.73325,1.09494,2.37416,0.0003962,0.0003962,0.0003962
83,597.065,0.4153,0.32976,0.75036,0.8851,0.76596,0.88814,0.64662,1.73325,1.09494,2.37416,0.0003764,0.0003764,0.0003764
84,603.983,0.50006,0.37275,0.8785,0.90205,0.78388,0.87017,0.64895,1.75458,1.07227,2.43019,0.0003566,0.0003566,0.0003566
85,610.873,0.36286,0.30394,0.81528,0.90205,0.78388,0.87017,0.64895,1.75458,1.07227,2.43019,0.0003368,0.0003368,0.0003368
86,617.776,0.41714,0.33648,0.7936,0.90205,0.78388,0.87017,0.64895,1.75458,1.07227,2.43019,0.000317,0.000317,0.000317
87,624.661,0.54044,0.39251,0.83081,0.89001,0.80851,0.87075,0.63738,1.74907,1.04609,2.43454,0.0002972,0.0002972,0.0002972
88,631.54,0.39188,0.33179,0.83435,0.89001,0.80851,0.87075,0.63738,1.74907,1.04609,2.43454,0.0002774,0.0002774,0.0002774
89,638.413,0.39193,0.32347,0.79329,0.88491,0.80851,0.8708,0.6447,1.74395,1.01942,2.46918,0.0002576,0.0002576,0.0002576
90,645.228,0.39117,0.31855,0.82533,0.88491,0.80851,0.8708,0.6447,1.74395,1.01942,2.46918,0.0002378,0.0002378,0.0002378
91,652.034,0.49403,0.37146,0.77872,0.88491,0.80851,0.8708,0.6447,1.74395,1.01942,2.46918,0.000218,0.000218,0.000218
92,658.885,0.35382,0.3069,0.71214,0.85731,0.82979,0.86629,0.64418,1.76879,0.95366,2.60669,0.0001982,0.0001982,0.0001982
93,665.74,0.35649,0.32796,0.76916,0.85731,0.82979,0.86629,0.64418,1.76879,0.95366,2.60669,0.0001784,0.0001784,0.0001784
94,672.536,0.38772,0.31226,0.86236,0.85731,0.82979,0.86629,0.64418,1.76879,0.95366,2.60669,0.0001586,0.0001586,0.0001586
95,679.382,0.38163,0.3107,0.78254,0.83953,0.82979,0.86719,0.63699,1.7784,0.87854,2.69824,0.0001388,0.0001388,0.0001388
96,686.189,0.36057,0.31725,0.80165,0.83953,0.82979,0.86719,0.63699,1.7784,0.87854,2.69824,0.000119,0.000119,0.000119
97,693.001,0.35375,0.27419,0.83122,0.84407,0.82979,0.86696,0.63701,1.77768,0.82896,2.74566,9.92e-05,9.92e-05,9.92e-05
98,699.776,0.40678,0.30625,0.72895,0.84407,0.82979,0.86696,0.63701,1.77768,0.82896,2.74566,7.94e-05,7.94e-05,7.94e-05
99,706.591,0.39434,0.2846,0.72924,0.84407,0.82979,0.86696,0.63701,1.77768,0.82896,2.74566,5.96e-05,5.96e-05,5.96e-05
100,713.403,0.39218,0.27836,0.77492,0.8464,0.82083,0.86709,0.63277,1.77562,0.816,2.76393,3.98e-05,3.98e-05,3.98e-05
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 8.19565 0.6123 0.42514 0.85093 0.85002 0.78723 0.82832 0.50816 1.80487 1.47621 2.33057 4e-05 4e-05 4e-05
3 2 15.3017 0.66534 0.53562 0.87155 0.8344 0.78723 0.83036 0.5196 1.76007 1.45615 2.28748 9.901e-05 9.901e-05 9.901e-05
4 3 22.3171 0.46011 0.40293 0.79484 0.8179 0.78723 0.82571 0.53271 1.72346 1.38779 2.29071 0.000156832 0.000156832 0.000156832
5 4 29.3482 0.48561 0.38664 0.82306 0.81757 0.78723 0.82479 0.57843 1.7127 1.25326 2.29166 0.000213466 0.000213466 0.000213466
6 5 36.2965 0.5879 0.41799 0.84057 0.80415 0.78626 0.81995 0.59846 1.69675 1.18674 2.25637 0.000268912 0.000268912 0.000268912
7 6 43.2963 0.56342 0.40027 0.84787 0.89573 0.74468 0.81436 0.60453 1.71434 1.14562 2.27071 0.00032317 0.00032317 0.00032317
8 7 50.3653 0.53103 0.40434 0.84357 0.97136 0.72164 0.82671 0.61309 1.73075 1.15911 2.29835 0.00037624 0.00037624 0.00037624
9 8 57.319 0.47274 0.36386 0.82621 0.97133 0.72099 0.82748 0.62112 1.70931 1.20481 2.2703 0.000428122 0.000428122 0.000428122
10 9 64.3428 0.50674 0.38306 0.79211 0.92109 0.74506 0.82559 0.63513 1.71081 1.2395 2.31758 0.000478816 0.000478816 0.000478816
11 10 71.3905 0.64198 0.43668 0.92091 0.97196 0.73776 0.82913 0.65169 1.70463 1.32041 2.3293 0.000528322 0.000528322 0.000528322
12 11 78.4014 0.57753 0.38964 0.82857 0.97055 0.70118 0.82991 0.65084 1.69987 1.38742 2.32959 0.00057664 0.00057664 0.00057664
13 12 85.3138 0.55339 0.42266 0.83678 0.97102 0.71312 0.82396 0.65482 1.70748 1.46478 2.33817 0.00062377 0.00062377 0.00062377
14 13 92.2771 0.53662 0.4011 0.86549 0.96993 0.68639 0.81895 0.63714 1.71139 1.5585 2.2876 0.000669712 0.000669712 0.000669712
15 14 99.3688 0.57659 0.43712 0.85222 0.96963 0.67932 0.84129 0.63554 1.67829 1.51795 2.18553 0.000714466 0.000714466 0.000714466
16 15 106.662 0.57815 0.42548 0.86128 0.96963 0.67932 0.84129 0.63554 1.67829 1.51795 2.18553 0.000758032 0.000758032 0.000758032
17 16 113.628 0.43368 0.34128 0.81748 0.96966 0.68004 0.83286 0.63591 1.63659 1.48648 2.0786 0.00080041 0.00080041 0.00080041
18 17 120.627 0.55871 0.40548 0.82485 0.96968 0.68046 0.84555 0.64235 1.60074 1.47647 2.0353 0.0008416 0.0008416 0.0008416
19 18 127.543 0.55582 0.40161 0.84625 0.96968 0.68046 0.84555 0.64235 1.60074 1.47647 2.0353 0.000881602 0.000881602 0.000881602
20 19 134.434 0.53859 0.41031 0.79426 0.8967 0.74468 0.85219 0.64689 1.59435 1.36923 2.02562 0.000920416 0.000920416 0.000920416
21 20 141.449 0.56389 0.39246 0.87297 0.89682 0.73983 0.84506 0.63708 1.65019 1.39173 2.04865 0.000958042 0.000958042 0.000958042
22 21 148.383 0.68711 0.50048 0.89401 0.89682 0.73983 0.84506 0.63708 1.65019 1.39173 2.04865 0.00099448 0.00099448 0.00099448
23 22 155.397 0.60974 0.44176 0.8697 0.92181 0.80851 0.84721 0.60121 1.73777 1.39474 2.17404 0.00102973 0.00102973 0.00102973
24 23 162.255 0.62383 0.44065 0.89363 0.92181 0.80851 0.84721 0.60121 1.73777 1.39474 2.17404 0.00106379 0.00106379 0.00106379
25 24 169.144 0.61637 0.42128 0.84908 0.95603 0.76596 0.84298 0.58676 1.76988 1.44023 2.26672 0.00109667 0.00109667 0.00109667
26 25 176.058 0.54424 0.4066 0.82457 0.95603 0.76596 0.84298 0.58676 1.76988 1.44023 2.26672 0.00112835 0.00112835 0.00112835
27 26 183.033 0.54401 0.41685 0.88798 0.93117 0.76596 0.84709 0.60891 1.78102 1.56832 2.36092 0.00115885 0.00115885 0.00115885
28 27 189.95 0.56514 0.42403 0.85739 0.93117 0.76596 0.84709 0.60891 1.78102 1.56832 2.36092 0.00118816 0.00118816 0.00118816
29 28 196.907 0.62848 0.43825 0.82281 0.96449 0.76596 0.83318 0.60774 1.7698 1.50096 2.39655 0.00121628 0.00121628 0.00121628
30 29 203.859 0.51537 0.39396 0.84546 0.96449 0.76596 0.83318 0.60774 1.7698 1.50096 2.39655 0.00124322 0.00124322 0.00124322
31 30 211.22 0.54637 0.414 0.86373 0.96449 0.76596 0.83318 0.60774 1.7698 1.50096 2.39655 0.00126896 0.00126896 0.00126896
32 31 218.195 0.59268 0.46237 0.88145 0.97182 0.80851 0.86758 0.59169 1.70863 1.24076 2.35262 0.00129352 0.00129352 0.00129352
33 32 225.092 0.53659 0.4065 0.85673 0.97182 0.80851 0.86758 0.59169 1.70863 1.24076 2.35262 0.00131689 0.00131689 0.00131689
34 33 232.023 0.47217 0.39679 0.82819 0.94821 0.77929 0.86553 0.57845 1.77415 1.11564 2.52502 0.00133907 0.00133907 0.00133907
35 34 238.949 0.59883 0.45459 0.84118 0.94821 0.77929 0.86553 0.57845 1.77415 1.11564 2.52502 0.0013466 0.0013466 0.0013466
36 35 245.949 0.51164 0.37073 0.79914 0.94821 0.77929 0.86553 0.57845 1.77415 1.11564 2.52502 0.0013268 0.0013268 0.0013268
37 36 253.01 0.46679 0.40665 0.84171 0.85928 0.77962 0.84181 0.56946 1.82108 1.02139 2.65556 0.001307 0.001307 0.001307
38 37 259.981 0.53325 0.41161 0.80126 0.85928 0.77962 0.84181 0.56946 1.82108 1.02139 2.65556 0.0012872 0.0012872 0.0012872
39 38 267.189 0.53795 0.3962 0.79473 0.85928 0.77962 0.84181 0.56946 1.82108 1.02139 2.65556 0.0012674 0.0012674 0.0012674
40 39 275.044 0.61197 0.42033 0.81915 0.86886 0.84587 0.87175 0.57997 1.78428 0.98111 2.61525 0.0012476 0.0012476 0.0012476
41 40 286.253 0.56928 0.40607 0.92216 0.86886 0.84587 0.87175 0.57997 1.78428 0.98111 2.61525 0.0012278 0.0012278 0.0012278
42 41 299.781 0.5003 0.38856 0.83654 0.83151 0.82979 0.8562 0.5763 1.78778 1.03069 2.59941 0.001208 0.001208 0.001208
43 42 307.571 0.58049 0.4353 0.92086 0.83151 0.82979 0.8562 0.5763 1.78778 1.03069 2.59941 0.0011882 0.0011882 0.0011882
44 43 315.488 0.61644 0.43274 0.86363 0.83151 0.82979 0.8562 0.5763 1.78778 1.03069 2.59941 0.0011684 0.0011684 0.0011684
45 44 325.127 0.51729 0.3801 0.8377 0.88842 0.84708 0.87399 0.58317 1.76849 1.0061 2.56411 0.0011486 0.0011486 0.0011486
46 45 333.795 0.47493 0.36265 0.82626 0.88842 0.84708 0.87399 0.58317 1.76849 1.0061 2.56411 0.0011288 0.0011288 0.0011288
47 46 340.666 0.54997 0.40655 0.82877 0.88842 0.84708 0.87399 0.58317 1.76849 1.0061 2.56411 0.001109 0.001109 0.001109
48 47 347.681 0.53303 0.40042 0.83829 0.88845 0.84735 0.87697 0.59272 1.73879 0.96329 2.53257 0.0010892 0.0010892 0.0010892
49 48 354.534 0.54368 0.38672 0.84072 0.88845 0.84735 0.87697 0.59272 1.73879 0.96329 2.53257 0.0010694 0.0010694 0.0010694
50 49 361.42 0.50797 0.37318 0.82117 0.8954 0.87234 0.89311 0.60326 1.73542 0.90862 2.48417 0.0010496 0.0010496 0.0010496
51 50 368.307 0.54831 0.41959 0.82396 0.8954 0.87234 0.89311 0.60326 1.73542 0.90862 2.48417 0.0010298 0.0010298 0.0010298
52 51 375.158 0.57476 0.39022 0.815 0.8954 0.87234 0.89311 0.60326 1.73542 0.90862 2.48417 0.00101 0.00101 0.00101
53 52 382.056 0.57325 0.44671 0.81888 0.94748 0.89362 0.92942 0.59895 1.72836 0.9 2.42783 0.0009902 0.0009902 0.0009902
54 53 388.929 0.56456 0.4251 0.85245 0.94748 0.89362 0.92942 0.59895 1.72836 0.9 2.42783 0.0009704 0.0009704 0.0009704
55 54 395.799 0.55978 0.42774 0.82335 0.94748 0.89362 0.92942 0.59895 1.72836 0.9 2.42783 0.0009506 0.0009506 0.0009506
56 55 402.773 0.60798 0.50402 0.88226 0.9562 0.92903 0.94829 0.63245 1.6986 0.88322 2.38646 0.0009308 0.0009308 0.0009308
57 56 409.633 0.58796 0.42826 0.85814 0.9562 0.92903 0.94829 0.63245 1.6986 0.88322 2.38646 0.000911 0.000911 0.000911
58 57 416.514 0.49991 0.41932 0.82299 0.92741 0.89362 0.92912 0.64506 1.67537 0.85424 2.35241 0.0008912 0.0008912 0.0008912
59 58 423.533 0.50789 0.41912 0.82583 0.92741 0.89362 0.92912 0.64506 1.67537 0.85424 2.35241 0.0008714 0.0008714 0.0008714
60 59 430.43 0.6055 0.51832 0.82515 0.92741 0.89362 0.92912 0.64506 1.67537 0.85424 2.35241 0.0008516 0.0008516 0.0008516
61 60 437.429 0.57369 0.42439 0.83085 0.87951 0.89362 0.91831 0.65747 1.63991 0.87544 2.2761 0.0008318 0.0008318 0.0008318
62 61 444.355 0.49637 0.41171 0.78301 0.87951 0.89362 0.91831 0.65747 1.63991 0.87544 2.2761 0.000812 0.000812 0.000812
63 62 451.242 0.60409 0.41518 0.87224 0.87951 0.89362 0.91831 0.65747 1.63991 0.87544 2.2761 0.0007922 0.0007922 0.0007922
64 63 458.267 0.58189 0.40375 0.86682 0.88583 0.87234 0.92313 0.65862 1.57408 0.91532 2.17665 0.0007724 0.0007724 0.0007724
65 64 465.142 0.56647 0.4373 0.9 0.88583 0.87234 0.92313 0.65862 1.57408 0.91532 2.17665 0.0007526 0.0007526 0.0007526
66 65 472.096 0.50134 0.36578 0.83634 0.92919 0.85106 0.91771 0.65867 1.5433 0.98855 2.09871 0.0007328 0.0007328 0.0007328
67 66 478.974 0.49792 0.39803 0.81644 0.92919 0.85106 0.91771 0.65867 1.5433 0.98855 2.09871 0.000713 0.000713 0.000713
68 67 485.879 0.59211 0.42189 0.87305 0.92919 0.85106 0.91771 0.65867 1.5433 0.98855 2.09871 0.0006932 0.0006932 0.0006932
69 68 492.76 0.53683 0.40437 0.85955 0.94696 0.82979 0.91229 0.66403 1.54317 1.08248 2.05076 0.0006734 0.0006734 0.0006734
70 69 499.858 0.56718 0.44711 0.83679 0.94696 0.82979 0.91229 0.66403 1.54317 1.08248 2.05076 0.0006536 0.0006536 0.0006536
71 70 506.722 0.39617 0.32307 0.80104 0.94696 0.82979 0.91229 0.66403 1.54317 1.08248 2.05076 0.0006338 0.0006338 0.0006338
72 71 513.699 0.43467 0.35793 0.81692 0.92567 0.79506 0.90938 0.66289 1.58871 1.1228 2.06684 0.000614 0.000614 0.000614
73 72 520.544 0.45567 0.41199 0.79588 0.92567 0.79506 0.90938 0.66289 1.58871 1.1228 2.06684 0.0005942 0.0005942 0.0005942
74 73 527.54 0.45322 0.36375 0.83435 0.89947 0.76155 0.88991 0.65727 1.63767 1.20141 2.11434 0.0005744 0.0005744 0.0005744
75 74 534.411 0.53085 0.39018 0.7943 0.89947 0.76155 0.88991 0.65727 1.63767 1.20141 2.11434 0.0005546 0.0005546 0.0005546
76 75 541.29 0.44665 0.36932 0.82329 0.89947 0.76155 0.88991 0.65727 1.63767 1.20141 2.11434 0.0005348 0.0005348 0.0005348
77 76 548.204 0.45946 0.35853 0.8123 1 0.70093 0.88844 0.65085 1.68997 1.18694 2.22683 0.000515 0.000515 0.000515
78 77 555.086 0.4772 0.37765 0.85821 1 0.70093 0.88844 0.65085 1.68997 1.18694 2.22683 0.0004952 0.0004952 0.0004952
79 78 561.921 0.57097 0.41445 0.85327 1 0.70093 0.88844 0.65085 1.68997 1.18694 2.22683 0.0004754 0.0004754 0.0004754
80 79 568.846 0.51543 0.37269 0.84214 0.89922 0.76596 0.88907 0.65468 1.7087 1.14563 2.29639 0.0004556 0.0004556 0.0004556
81 80 575.838 0.4212 0.36157 0.80088 0.89922 0.76596 0.88907 0.65468 1.7087 1.14563 2.29639 0.0004358 0.0004358 0.0004358
82 81 582.915 0.43493 0.34956 0.86446 0.8851 0.76596 0.88814 0.64662 1.73325 1.09494 2.37416 0.000416 0.000416 0.000416
83 82 590.111 0.43562 0.34379 0.81383 0.8851 0.76596 0.88814 0.64662 1.73325 1.09494 2.37416 0.0003962 0.0003962 0.0003962
84 83 597.065 0.4153 0.32976 0.75036 0.8851 0.76596 0.88814 0.64662 1.73325 1.09494 2.37416 0.0003764 0.0003764 0.0003764
85 84 603.983 0.50006 0.37275 0.8785 0.90205 0.78388 0.87017 0.64895 1.75458 1.07227 2.43019 0.0003566 0.0003566 0.0003566
86 85 610.873 0.36286 0.30394 0.81528 0.90205 0.78388 0.87017 0.64895 1.75458 1.07227 2.43019 0.0003368 0.0003368 0.0003368
87 86 617.776 0.41714 0.33648 0.7936 0.90205 0.78388 0.87017 0.64895 1.75458 1.07227 2.43019 0.000317 0.000317 0.000317
88 87 624.661 0.54044 0.39251 0.83081 0.89001 0.80851 0.87075 0.63738 1.74907 1.04609 2.43454 0.0002972 0.0002972 0.0002972
89 88 631.54 0.39188 0.33179 0.83435 0.89001 0.80851 0.87075 0.63738 1.74907 1.04609 2.43454 0.0002774 0.0002774 0.0002774
90 89 638.413 0.39193 0.32347 0.79329 0.88491 0.80851 0.8708 0.6447 1.74395 1.01942 2.46918 0.0002576 0.0002576 0.0002576
91 90 645.228 0.39117 0.31855 0.82533 0.88491 0.80851 0.8708 0.6447 1.74395 1.01942 2.46918 0.0002378 0.0002378 0.0002378
92 91 652.034 0.49403 0.37146 0.77872 0.88491 0.80851 0.8708 0.6447 1.74395 1.01942 2.46918 0.000218 0.000218 0.000218
93 92 658.885 0.35382 0.3069 0.71214 0.85731 0.82979 0.86629 0.64418 1.76879 0.95366 2.60669 0.0001982 0.0001982 0.0001982
94 93 665.74 0.35649 0.32796 0.76916 0.85731 0.82979 0.86629 0.64418 1.76879 0.95366 2.60669 0.0001784 0.0001784 0.0001784
95 94 672.536 0.38772 0.31226 0.86236 0.85731 0.82979 0.86629 0.64418 1.76879 0.95366 2.60669 0.0001586 0.0001586 0.0001586
96 95 679.382 0.38163 0.3107 0.78254 0.83953 0.82979 0.86719 0.63699 1.7784 0.87854 2.69824 0.0001388 0.0001388 0.0001388
97 96 686.189 0.36057 0.31725 0.80165 0.83953 0.82979 0.86719 0.63699 1.7784 0.87854 2.69824 0.000119 0.000119 0.000119
98 97 693.001 0.35375 0.27419 0.83122 0.84407 0.82979 0.86696 0.63701 1.77768 0.82896 2.74566 9.92e-05 9.92e-05 9.92e-05
99 98 699.776 0.40678 0.30625 0.72895 0.84407 0.82979 0.86696 0.63701 1.77768 0.82896 2.74566 7.94e-05 7.94e-05 7.94e-05
100 99 706.591 0.39434 0.2846 0.72924 0.84407 0.82979 0.86696 0.63701 1.77768 0.82896 2.74566 5.96e-05 5.96e-05 5.96e-05
101 100 713.403 0.39218 0.27836 0.77492 0.8464 0.82083 0.86709 0.63277 1.77562 0.816 2.76393 3.98e-05 3.98e-05 3.98e-05

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@ -0,0 +1,105 @@
task: detect
mode: train
model: C:\workspace\le-yolo\runs\detect\train33\weights\last.pt
data: data.yaml
epochs: 100
time: null
patience: 100
batch: 8
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: null
name: train34
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
stream_buffer: false
visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
embed: null
show: false
save_frames: false
save_txt: false
save_conf: false
save_crop: false
show_labels: true
show_conf: true
show_boxes: true
line_width: null
format: torchscript
keras: false
optimize: false
int8: false
dynamic: false
simplify: true
opset: null
workspace: null
nms: false
lr0: 0.01
lrf: 0.01
momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3.0
warmup_momentum: 0.8
warmup_bias_lr: 0.1
box: 7.5
cls: 0.5
dfl: 1.5
pose: 12.0
kobj: 1.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
scale: 0.5
shear: 0.0
perspective: 0.0
flipud: 0.0
fliplr: 0.5
bgr: 0.0
mosaic: 1.0
mixup: 0.0
cutmix: 0.0
copy_paste: 0.0
copy_paste_mode: flip
auto_augment: randaugment
erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: C:\workspace\le-yolo\runs\detect\train34

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@ -0,0 +1,101 @@
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
1,7.81888,0.40855,0.33922,0.80473,0.84409,0.82979,0.86607,0.63484,1.78046,0.81425,2.76469,4e-05,4e-05,4e-05
2,14.9202,0.4567,0.38444,0.83673,0.84571,0.82979,0.86784,0.625,1.78213,0.81541,2.75956,9.901e-05,9.901e-05,9.901e-05
3,21.8849,0.35735,0.2944,0.76628,0.85975,0.82979,0.86747,0.62949,1.77584,0.81104,2.75492,0.000156832,0.000156832,0.000156832
4,28.8639,0.36621,0.31547,0.80646,0.86014,0.82979,0.87036,0.61869,1.7848,0.81956,2.7534,0.000213466,0.000213466,0.000213466
5,35.766,0.4494,0.3248,0.81091,0.85407,0.82979,0.86858,0.61714,1.78676,0.83502,2.74724,0.000268912,0.000268912,0.000268912
6,42.7321,0.397,0.32347,0.80914,0.84393,0.80851,0.86553,0.60353,1.79452,0.85721,2.77345,0.00032317,0.00032317,0.00032317
7,49.8284,0.45563,0.33678,0.84035,0.96519,0.70213,0.85534,0.59576,1.79831,0.90278,2.7767,0.00037624,0.00037624,0.00037624
8,56.896,0.38908,0.28972,0.81162,0.97033,0.70213,0.85845,0.59055,1.805,0.9195,2.77111,0.000428122,0.000428122,0.000428122
9,63.9057,0.41072,0.34576,0.78125,0.86762,0.74468,0.85261,0.5861,1.81456,0.92357,2.75458,0.000478816,0.000478816,0.000478816
10,70.7776,0.53852,0.3445,0.88501,0.9185,0.71947,0.85114,0.59431,1.81644,0.91401,2.77109,0.000528322,0.000528322,0.000528322
11,77.9852,0.40591,0.32482,0.8005,0.83196,0.82979,0.84894,0.60498,1.80368,0.93172,2.76664,0.00057664,0.00057664,0.00057664
12,84.9823,0.42888,0.31006,0.81173,0.84574,0.82979,0.84235,0.61447,1.82032,0.96969,2.79294,0.00062377,0.00062377,0.00062377
13,91.8976,0.39716,0.34213,0.83029,0.90354,0.80851,0.84194,0.61896,1.8454,0.99335,2.80276,0.000669712,0.000669712,0.000669712
14,98.7803,0.45316,0.36314,0.81122,0.93903,0.7234,0.82346,0.62571,1.85076,0.96665,2.81548,0.000714466,0.000714466,0.000714466
15,105.922,0.4154,0.33159,0.82962,0.93903,0.7234,0.82346,0.62571,1.85076,0.96665,2.81548,0.000758032,0.000758032,0.000758032
16,113.191,0.34316,0.28682,0.80127,0.99611,0.65957,0.80593,0.61505,1.86269,0.96323,2.86534,0.00080041,0.00080041,0.00080041
17,120.133,0.42995,0.32387,0.80731,0.94581,0.70213,0.79494,0.60977,1.90116,0.98842,2.95468,0.0008416,0.0008416,0.0008416
18,127.023,0.49696,0.36839,0.83459,0.94581,0.70213,0.79494,0.60977,1.90116,0.98842,2.95468,0.000881602,0.000881602,0.000881602
19,133.951,0.42163,0.31902,0.76892,0.963,0.70213,0.79925,0.61491,1.94436,0.9977,3.03922,0.000920416,0.000920416,0.000920416
20,140.815,0.44425,0.32256,0.85819,0.96861,0.70213,0.80642,0.62346,1.96628,0.99523,3.1024,0.000958042,0.000958042,0.000958042
21,147.808,0.45372,0.37404,0.84486,0.96861,0.70213,0.80642,0.62346,1.96628,0.99523,3.1024,0.00099448,0.00099448,0.00099448
22,154.789,0.48962,0.39128,0.82559,0.89772,0.74468,0.80508,0.62618,2.00494,1.02579,3.17958,0.00102973,0.00102973,0.00102973
23,161.625,0.49059,0.38311,0.8681,0.89772,0.74468,0.80508,0.62618,2.00494,1.02579,3.17958,0.00106379,0.00106379,0.00106379
24,168.541,0.50843,0.38809,0.83613,0.92437,0.7803,0.8066,0.62115,2.0265,1.06524,3.24145,0.00109667,0.00109667,0.00109667
25,175.495,0.46984,0.35787,0.80774,0.92437,0.7803,0.8066,0.62115,2.0265,1.06524,3.24145,0.00112835,0.00112835,0.00112835
26,182.386,0.49159,0.37449,0.86963,0.9267,0.76596,0.80848,0.6189,2.0408,1.17249,3.23942,0.00115885,0.00115885,0.00115885
27,189.306,0.49944,0.37779,0.84759,0.9267,0.76596,0.80848,0.6189,2.0408,1.17249,3.23942,0.00118816,0.00118816,0.00118816
28,196.199,0.50773,0.38198,0.78807,0.96108,0.76596,0.81752,0.62825,2.03288,1.32024,3.21273,0.00121628,0.00121628,0.00121628
29,203.054,0.51733,0.36412,0.84258,0.96108,0.76596,0.81752,0.62825,2.03288,1.32024,3.21273,0.00124322,0.00124322,0.00124322
30,209.887,0.52901,0.37507,0.85961,0.96108,0.76596,0.81752,0.62825,2.03288,1.32024,3.21273,0.00126896,0.00126896,0.00126896
31,216.779,0.51046,0.41363,0.86673,0.97337,0.77785,0.83136,0.63323,2.03471,1.5062,3.17234,0.00129352,0.00129352,0.00129352
32,223.584,0.46045,0.36035,0.84578,0.97337,0.77785,0.83136,0.63323,2.03471,1.5062,3.17234,0.00131689,0.00131689,0.00131689
33,230.454,0.44136,0.34574,0.81908,0.97051,0.70015,0.83092,0.62126,2.07433,1.64164,3.17379,0.00133907,0.00133907,0.00133907
34,237.285,0.51598,0.38923,0.82282,0.97051,0.70015,0.83092,0.62126,2.07433,1.64164,3.17379,0.0013466,0.0013466,0.0013466
35,244.21,0.50408,0.34758,0.79895,0.97051,0.70015,0.83092,0.62126,2.07433,1.64164,3.17379,0.0013268,0.0013268,0.0013268
36,251.053,0.49934,0.35057,0.83576,0.97049,0.69973,0.83806,0.62848,2.04767,1.67156,3.12085,0.001307,0.001307,0.001307
37,258.071,0.46787,0.36039,0.79053,0.97049,0.69973,0.83806,0.62848,2.04767,1.67156,3.12085,0.0012872,0.0012872,0.0012872
38,264.964,0.48964,0.35635,0.78144,0.97049,0.69973,0.83806,0.62848,2.04767,1.67156,3.12085,0.0012674,0.0012674,0.0012674
39,271.825,0.53638,0.37517,0.81427,0.97052,0.70061,0.84994,0.63411,2.03384,1.64272,3.09372,0.0012476,0.0012476,0.0012476
40,278.639,0.49131,0.37224,0.8906,0.97052,0.70061,0.84994,0.63411,2.03384,1.64272,3.09372,0.0012278,0.0012278,0.0012278
41,285.474,0.45313,0.35364,0.82427,0.97059,0.70207,0.8538,0.64555,2.01441,1.55511,3.05566,0.001208,0.001208,0.001208
42,292.471,0.56954,0.41026,0.91147,0.97059,0.70207,0.8538,0.64555,2.01441,1.55511,3.05566,0.0011882,0.0011882,0.0011882
43,299.396,0.53634,0.42004,0.84772,0.97059,0.70207,0.8538,0.64555,2.01441,1.55511,3.05566,0.0011684,0.0011684,0.0011684
44,306.276,0.46365,0.35506,0.8292,0.97046,0.69915,0.83607,0.63943,1.97387,1.52009,2.96488,0.0011486,0.0011486,0.0011486
45,313.21,0.44749,0.34526,0.82321,0.97046,0.69915,0.83607,0.63943,1.97387,1.52009,2.96488,0.0011288,0.0011288,0.0011288
46,320.101,0.47323,0.38278,0.82612,0.97046,0.69915,0.83607,0.63943,1.97387,1.52009,2.96488,0.001109,0.001109,0.001109
47,326.991,0.54778,0.37734,0.83268,0.88531,0.76596,0.83777,0.62672,1.97356,1.45384,2.90173,0.0010892,0.0010892,0.0010892
48,333.925,0.52932,0.38972,0.83059,0.88531,0.76596,0.83777,0.62672,1.97356,1.45384,2.90173,0.0010694,0.0010694,0.0010694
49,340.765,0.54018,0.36263,0.82299,0.97055,0.70115,0.82678,0.60685,2.01181,1.38581,2.87906,0.0010496,0.0010496,0.0010496
50,347.616,0.50084,0.36398,0.82012,0.97055,0.70115,0.82678,0.60685,2.01181,1.38581,2.87906,0.0010298,0.0010298,0.0010298
51,354.453,0.4967,0.36371,0.79329,0.97055,0.70115,0.82678,0.60685,2.01181,1.38581,2.87906,0.00101,0.00101,0.00101
52,361.582,0.5445,0.39983,0.81865,0.82893,0.78723,0.82412,0.57336,2.06828,1.24955,2.8961,0.0009902,0.0009902,0.0009902
53,369.237,0.49069,0.38413,0.8316,0.82893,0.78723,0.82412,0.57336,2.06828,1.24955,2.8961,0.0009704,0.0009704,0.0009704
54,377.205,0.49952,0.35503,0.82021,0.82893,0.78723,0.82412,0.57336,2.06828,1.24955,2.8961,0.0009506,0.0009506,0.0009506
55,385.183,0.636,0.46009,0.88236,0.94088,0.67737,0.80621,0.55748,2.1041,1.09762,2.9245,0.0009308,0.0009308,0.0009308
56,393.066,0.55562,0.38702,0.84868,0.94088,0.67737,0.80621,0.55748,2.1041,1.09762,2.9245,0.000911,0.000911,0.000911
57,400.944,0.52055,0.38838,0.82652,0.96855,0.65531,0.78603,0.5602,2.07745,1.01106,2.86954,0.0008912,0.0008912,0.0008912
58,408.86,0.49561,0.36914,0.82121,0.96855,0.65531,0.78603,0.5602,2.07745,1.01106,2.86954,0.0008714,0.0008714,0.0008714
59,416.854,0.52885,0.40393,0.80281,0.96855,0.65531,0.78603,0.5602,2.07745,1.01106,2.86954,0.0008516,0.0008516,0.0008516
60,425.265,0.458,0.36311,0.80088,0.89117,0.69698,0.79692,0.58467,2.0062,1.01023,2.82871,0.0008318,0.0008318,0.0008318
61,433.638,0.38088,0.34895,0.7611,0.89117,0.69698,0.79692,0.58467,2.0062,1.01023,2.82871,0.000812,0.000812,0.000812
62,441.559,0.48188,0.35389,0.8521,0.89117,0.69698,0.79692,0.58467,2.0062,1.01023,2.82871,0.0007922,0.0007922,0.0007922
63,449.426,0.47732,0.37489,0.85298,0.95991,0.65957,0.81352,0.5901,1.95497,0.99308,2.77816,0.0007724,0.0007724,0.0007724
64,457.378,0.5067,0.38418,0.86907,0.95991,0.65957,0.81352,0.5901,1.95497,0.99308,2.77816,0.0007526,0.0007526,0.0007526
65,464.934,0.42768,0.34841,0.82652,0.96075,0.65957,0.81527,0.5812,1.95265,1.01464,2.75051,0.0007328,0.0007328,0.0007328
66,471.885,0.43212,0.36277,0.80533,0.96075,0.65957,0.81527,0.5812,1.95265,1.01464,2.75051,0.000713,0.000713,0.000713
67,478.963,0.53187,0.39553,0.84324,0.96075,0.65957,0.81527,0.5812,1.95265,1.01464,2.75051,0.0006932,0.0006932,0.0006932
68,486.312,0.49572,0.34632,0.84783,0.96229,0.65957,0.81206,0.56077,1.95635,1.00878,2.75663,0.0006734,0.0006734,0.0006734
69,493.663,0.45694,0.3794,0.81471,0.96229,0.65957,0.81206,0.56077,1.95635,1.00878,2.75663,0.0006536,0.0006536,0.0006536
70,501.106,0.40278,0.32074,0.79715,0.96229,0.65957,0.81206,0.56077,1.95635,1.00878,2.75663,0.0006338,0.0006338,0.0006338
71,508.402,0.39857,0.33279,0.81537,0.96271,0.65957,0.81099,0.58697,1.94767,0.99754,2.80662,0.000614,0.000614,0.000614
72,515.696,0.40247,0.33725,0.78816,0.96271,0.65957,0.81099,0.58697,1.94767,0.99754,2.80662,0.0005942,0.0005942,0.0005942
73,523.07,0.39433,0.34166,0.81986,0.93387,0.68085,0.81064,0.58104,1.96047,1.02217,2.87787,0.0005744,0.0005744,0.0005744
74,530.49,0.42905,0.32928,0.78476,0.93387,0.68085,0.81064,0.58104,1.96047,1.02217,2.87787,0.0005546,0.0005546,0.0005546
75,537.748,0.41053,0.3248,0.81549,0.93387,0.68085,0.81064,0.58104,1.96047,1.02217,2.87787,0.0005348,0.0005348,0.0005348
76,544.783,0.42907,0.33598,0.81903,0.94072,0.6754,0.81453,0.588,1.94129,1.02559,2.86753,0.000515,0.000515,0.000515
77,551.761,0.45655,0.34159,0.85825,0.94072,0.6754,0.81453,0.588,1.94129,1.02559,2.86753,0.0004952,0.0004952,0.0004952
78,558.861,0.49307,0.3593,0.84364,0.94072,0.6754,0.81453,0.588,1.94129,1.02559,2.86753,0.0004754,0.0004754,0.0004754
79,565.987,0.45071,0.36722,0.83586,0.93545,0.70213,0.82545,0.59818,1.91496,1.02404,2.85038,0.0004556,0.0004556,0.0004556
80,573.434,0.37219,0.3089,0.79477,0.93545,0.70213,0.82545,0.59818,1.91496,1.02404,2.85038,0.0004358,0.0004358,0.0004358
81,581.106,0.39847,0.35987,0.86066,0.91413,0.70213,0.82695,0.60759,1.8944,1.02225,2.8338,0.000416,0.000416,0.000416
82,588.809,0.38988,0.31729,0.81368,0.91413,0.70213,0.82695,0.60759,1.8944,1.02225,2.8338,0.0003962,0.0003962,0.0003962
83,596.079,0.38639,0.30485,0.75138,0.91413,0.70213,0.82695,0.60759,1.8944,1.02225,2.8338,0.0003764,0.0003764,0.0003764
84,603.32,0.41704,0.36667,0.87369,0.96765,0.68085,0.83459,0.61605,1.89497,1.02842,2.83662,0.0003566,0.0003566,0.0003566
85,610.394,0.33681,0.28313,0.81218,0.96765,0.68085,0.83459,0.61605,1.89497,1.02842,2.83662,0.0003368,0.0003368,0.0003368
86,617.752,0.37322,0.31959,0.79385,0.96765,0.68085,0.83459,0.61605,1.89497,1.02842,2.83662,0.000317,0.000317,0.000317
87,625.183,0.45962,0.35536,0.81656,0.96969,0.68067,0.83177,0.62047,1.87941,1.02986,2.79868,0.0002972,0.0002972,0.0002972
88,632.742,0.36904,0.31631,0.83574,0.96969,0.68067,0.83177,0.62047,1.87941,1.02986,2.79868,0.0002774,0.0002774,0.0002774
89,640.323,0.3617,0.29497,0.7893,0.97018,0.69243,0.83106,0.62723,1.85897,1.02811,2.77095,0.0002576,0.0002576,0.0002576
90,647.633,0.3237,0.29257,0.82206,0.97018,0.69243,0.83106,0.62723,1.85897,1.02811,2.77095,0.0002378,0.0002378,0.0002378
91,654.806,0.39389,0.3286,0.77008,0.97018,0.69243,0.83106,0.62723,1.85897,1.02811,2.77095,0.000218,0.000218,0.000218
92,661.809,0.3029,0.264,0.70661,0.90991,0.70213,0.82193,0.61584,1.8684,1.0214,2.82638,0.0001982,0.0001982,0.0001982
93,668.739,0.34489,0.28212,0.77101,0.90991,0.70213,0.82193,0.61584,1.8684,1.0214,2.82638,0.0001784,0.0001784,0.0001784
94,675.88,0.34258,0.29025,0.8611,0.90991,0.70213,0.82193,0.61584,1.8684,1.0214,2.82638,0.0001586,0.0001586,0.0001586
95,684.441,0.29383,0.26427,0.77257,0.90773,0.70213,0.81668,0.60796,1.87587,0.97956,2.88016,0.0001388,0.0001388,0.0001388
96,691.953,0.35009,0.29304,0.79716,0.90773,0.70213,0.81668,0.60796,1.87587,0.97956,2.88016,0.000119,0.000119,0.000119
97,699.581,0.31793,0.2364,0.82811,0.91344,0.67373,0.79713,0.59892,1.88348,0.94281,2.92673,9.92e-05,9.92e-05,9.92e-05
98,707.508,0.33161,0.26715,0.7161,0.91344,0.67373,0.79713,0.59892,1.88348,0.94281,2.92673,7.94e-05,7.94e-05,7.94e-05
99,715.921,0.33549,0.26578,0.72406,0.91344,0.67373,0.79713,0.59892,1.88348,0.94281,2.92673,5.96e-05,5.96e-05,5.96e-05
100,724.581,0.35572,0.2755,0.77517,0.95817,0.6383,0.79293,0.59659,1.88672,0.93711,2.95254,3.98e-05,3.98e-05,3.98e-05
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 7.81888 0.40855 0.33922 0.80473 0.84409 0.82979 0.86607 0.63484 1.78046 0.81425 2.76469 4e-05 4e-05 4e-05
3 2 14.9202 0.4567 0.38444 0.83673 0.84571 0.82979 0.86784 0.625 1.78213 0.81541 2.75956 9.901e-05 9.901e-05 9.901e-05
4 3 21.8849 0.35735 0.2944 0.76628 0.85975 0.82979 0.86747 0.62949 1.77584 0.81104 2.75492 0.000156832 0.000156832 0.000156832
5 4 28.8639 0.36621 0.31547 0.80646 0.86014 0.82979 0.87036 0.61869 1.7848 0.81956 2.7534 0.000213466 0.000213466 0.000213466
6 5 35.766 0.4494 0.3248 0.81091 0.85407 0.82979 0.86858 0.61714 1.78676 0.83502 2.74724 0.000268912 0.000268912 0.000268912
7 6 42.7321 0.397 0.32347 0.80914 0.84393 0.80851 0.86553 0.60353 1.79452 0.85721 2.77345 0.00032317 0.00032317 0.00032317
8 7 49.8284 0.45563 0.33678 0.84035 0.96519 0.70213 0.85534 0.59576 1.79831 0.90278 2.7767 0.00037624 0.00037624 0.00037624
9 8 56.896 0.38908 0.28972 0.81162 0.97033 0.70213 0.85845 0.59055 1.805 0.9195 2.77111 0.000428122 0.000428122 0.000428122
10 9 63.9057 0.41072 0.34576 0.78125 0.86762 0.74468 0.85261 0.5861 1.81456 0.92357 2.75458 0.000478816 0.000478816 0.000478816
11 10 70.7776 0.53852 0.3445 0.88501 0.9185 0.71947 0.85114 0.59431 1.81644 0.91401 2.77109 0.000528322 0.000528322 0.000528322
12 11 77.9852 0.40591 0.32482 0.8005 0.83196 0.82979 0.84894 0.60498 1.80368 0.93172 2.76664 0.00057664 0.00057664 0.00057664
13 12 84.9823 0.42888 0.31006 0.81173 0.84574 0.82979 0.84235 0.61447 1.82032 0.96969 2.79294 0.00062377 0.00062377 0.00062377
14 13 91.8976 0.39716 0.34213 0.83029 0.90354 0.80851 0.84194 0.61896 1.8454 0.99335 2.80276 0.000669712 0.000669712 0.000669712
15 14 98.7803 0.45316 0.36314 0.81122 0.93903 0.7234 0.82346 0.62571 1.85076 0.96665 2.81548 0.000714466 0.000714466 0.000714466
16 15 105.922 0.4154 0.33159 0.82962 0.93903 0.7234 0.82346 0.62571 1.85076 0.96665 2.81548 0.000758032 0.000758032 0.000758032
17 16 113.191 0.34316 0.28682 0.80127 0.99611 0.65957 0.80593 0.61505 1.86269 0.96323 2.86534 0.00080041 0.00080041 0.00080041
18 17 120.133 0.42995 0.32387 0.80731 0.94581 0.70213 0.79494 0.60977 1.90116 0.98842 2.95468 0.0008416 0.0008416 0.0008416
19 18 127.023 0.49696 0.36839 0.83459 0.94581 0.70213 0.79494 0.60977 1.90116 0.98842 2.95468 0.000881602 0.000881602 0.000881602
20 19 133.951 0.42163 0.31902 0.76892 0.963 0.70213 0.79925 0.61491 1.94436 0.9977 3.03922 0.000920416 0.000920416 0.000920416
21 20 140.815 0.44425 0.32256 0.85819 0.96861 0.70213 0.80642 0.62346 1.96628 0.99523 3.1024 0.000958042 0.000958042 0.000958042
22 21 147.808 0.45372 0.37404 0.84486 0.96861 0.70213 0.80642 0.62346 1.96628 0.99523 3.1024 0.00099448 0.00099448 0.00099448
23 22 154.789 0.48962 0.39128 0.82559 0.89772 0.74468 0.80508 0.62618 2.00494 1.02579 3.17958 0.00102973 0.00102973 0.00102973
24 23 161.625 0.49059 0.38311 0.8681 0.89772 0.74468 0.80508 0.62618 2.00494 1.02579 3.17958 0.00106379 0.00106379 0.00106379
25 24 168.541 0.50843 0.38809 0.83613 0.92437 0.7803 0.8066 0.62115 2.0265 1.06524 3.24145 0.00109667 0.00109667 0.00109667
26 25 175.495 0.46984 0.35787 0.80774 0.92437 0.7803 0.8066 0.62115 2.0265 1.06524 3.24145 0.00112835 0.00112835 0.00112835
27 26 182.386 0.49159 0.37449 0.86963 0.9267 0.76596 0.80848 0.6189 2.0408 1.17249 3.23942 0.00115885 0.00115885 0.00115885
28 27 189.306 0.49944 0.37779 0.84759 0.9267 0.76596 0.80848 0.6189 2.0408 1.17249 3.23942 0.00118816 0.00118816 0.00118816
29 28 196.199 0.50773 0.38198 0.78807 0.96108 0.76596 0.81752 0.62825 2.03288 1.32024 3.21273 0.00121628 0.00121628 0.00121628
30 29 203.054 0.51733 0.36412 0.84258 0.96108 0.76596 0.81752 0.62825 2.03288 1.32024 3.21273 0.00124322 0.00124322 0.00124322
31 30 209.887 0.52901 0.37507 0.85961 0.96108 0.76596 0.81752 0.62825 2.03288 1.32024 3.21273 0.00126896 0.00126896 0.00126896
32 31 216.779 0.51046 0.41363 0.86673 0.97337 0.77785 0.83136 0.63323 2.03471 1.5062 3.17234 0.00129352 0.00129352 0.00129352
33 32 223.584 0.46045 0.36035 0.84578 0.97337 0.77785 0.83136 0.63323 2.03471 1.5062 3.17234 0.00131689 0.00131689 0.00131689
34 33 230.454 0.44136 0.34574 0.81908 0.97051 0.70015 0.83092 0.62126 2.07433 1.64164 3.17379 0.00133907 0.00133907 0.00133907
35 34 237.285 0.51598 0.38923 0.82282 0.97051 0.70015 0.83092 0.62126 2.07433 1.64164 3.17379 0.0013466 0.0013466 0.0013466
36 35 244.21 0.50408 0.34758 0.79895 0.97051 0.70015 0.83092 0.62126 2.07433 1.64164 3.17379 0.0013268 0.0013268 0.0013268
37 36 251.053 0.49934 0.35057 0.83576 0.97049 0.69973 0.83806 0.62848 2.04767 1.67156 3.12085 0.001307 0.001307 0.001307
38 37 258.071 0.46787 0.36039 0.79053 0.97049 0.69973 0.83806 0.62848 2.04767 1.67156 3.12085 0.0012872 0.0012872 0.0012872
39 38 264.964 0.48964 0.35635 0.78144 0.97049 0.69973 0.83806 0.62848 2.04767 1.67156 3.12085 0.0012674 0.0012674 0.0012674
40 39 271.825 0.53638 0.37517 0.81427 0.97052 0.70061 0.84994 0.63411 2.03384 1.64272 3.09372 0.0012476 0.0012476 0.0012476
41 40 278.639 0.49131 0.37224 0.8906 0.97052 0.70061 0.84994 0.63411 2.03384 1.64272 3.09372 0.0012278 0.0012278 0.0012278
42 41 285.474 0.45313 0.35364 0.82427 0.97059 0.70207 0.8538 0.64555 2.01441 1.55511 3.05566 0.001208 0.001208 0.001208
43 42 292.471 0.56954 0.41026 0.91147 0.97059 0.70207 0.8538 0.64555 2.01441 1.55511 3.05566 0.0011882 0.0011882 0.0011882
44 43 299.396 0.53634 0.42004 0.84772 0.97059 0.70207 0.8538 0.64555 2.01441 1.55511 3.05566 0.0011684 0.0011684 0.0011684
45 44 306.276 0.46365 0.35506 0.8292 0.97046 0.69915 0.83607 0.63943 1.97387 1.52009 2.96488 0.0011486 0.0011486 0.0011486
46 45 313.21 0.44749 0.34526 0.82321 0.97046 0.69915 0.83607 0.63943 1.97387 1.52009 2.96488 0.0011288 0.0011288 0.0011288
47 46 320.101 0.47323 0.38278 0.82612 0.97046 0.69915 0.83607 0.63943 1.97387 1.52009 2.96488 0.001109 0.001109 0.001109
48 47 326.991 0.54778 0.37734 0.83268 0.88531 0.76596 0.83777 0.62672 1.97356 1.45384 2.90173 0.0010892 0.0010892 0.0010892
49 48 333.925 0.52932 0.38972 0.83059 0.88531 0.76596 0.83777 0.62672 1.97356 1.45384 2.90173 0.0010694 0.0010694 0.0010694
50 49 340.765 0.54018 0.36263 0.82299 0.97055 0.70115 0.82678 0.60685 2.01181 1.38581 2.87906 0.0010496 0.0010496 0.0010496
51 50 347.616 0.50084 0.36398 0.82012 0.97055 0.70115 0.82678 0.60685 2.01181 1.38581 2.87906 0.0010298 0.0010298 0.0010298
52 51 354.453 0.4967 0.36371 0.79329 0.97055 0.70115 0.82678 0.60685 2.01181 1.38581 2.87906 0.00101 0.00101 0.00101
53 52 361.582 0.5445 0.39983 0.81865 0.82893 0.78723 0.82412 0.57336 2.06828 1.24955 2.8961 0.0009902 0.0009902 0.0009902
54 53 369.237 0.49069 0.38413 0.8316 0.82893 0.78723 0.82412 0.57336 2.06828 1.24955 2.8961 0.0009704 0.0009704 0.0009704
55 54 377.205 0.49952 0.35503 0.82021 0.82893 0.78723 0.82412 0.57336 2.06828 1.24955 2.8961 0.0009506 0.0009506 0.0009506
56 55 385.183 0.636 0.46009 0.88236 0.94088 0.67737 0.80621 0.55748 2.1041 1.09762 2.9245 0.0009308 0.0009308 0.0009308
57 56 393.066 0.55562 0.38702 0.84868 0.94088 0.67737 0.80621 0.55748 2.1041 1.09762 2.9245 0.000911 0.000911 0.000911
58 57 400.944 0.52055 0.38838 0.82652 0.96855 0.65531 0.78603 0.5602 2.07745 1.01106 2.86954 0.0008912 0.0008912 0.0008912
59 58 408.86 0.49561 0.36914 0.82121 0.96855 0.65531 0.78603 0.5602 2.07745 1.01106 2.86954 0.0008714 0.0008714 0.0008714
60 59 416.854 0.52885 0.40393 0.80281 0.96855 0.65531 0.78603 0.5602 2.07745 1.01106 2.86954 0.0008516 0.0008516 0.0008516
61 60 425.265 0.458 0.36311 0.80088 0.89117 0.69698 0.79692 0.58467 2.0062 1.01023 2.82871 0.0008318 0.0008318 0.0008318
62 61 433.638 0.38088 0.34895 0.7611 0.89117 0.69698 0.79692 0.58467 2.0062 1.01023 2.82871 0.000812 0.000812 0.000812
63 62 441.559 0.48188 0.35389 0.8521 0.89117 0.69698 0.79692 0.58467 2.0062 1.01023 2.82871 0.0007922 0.0007922 0.0007922
64 63 449.426 0.47732 0.37489 0.85298 0.95991 0.65957 0.81352 0.5901 1.95497 0.99308 2.77816 0.0007724 0.0007724 0.0007724
65 64 457.378 0.5067 0.38418 0.86907 0.95991 0.65957 0.81352 0.5901 1.95497 0.99308 2.77816 0.0007526 0.0007526 0.0007526
66 65 464.934 0.42768 0.34841 0.82652 0.96075 0.65957 0.81527 0.5812 1.95265 1.01464 2.75051 0.0007328 0.0007328 0.0007328
67 66 471.885 0.43212 0.36277 0.80533 0.96075 0.65957 0.81527 0.5812 1.95265 1.01464 2.75051 0.000713 0.000713 0.000713
68 67 478.963 0.53187 0.39553 0.84324 0.96075 0.65957 0.81527 0.5812 1.95265 1.01464 2.75051 0.0006932 0.0006932 0.0006932
69 68 486.312 0.49572 0.34632 0.84783 0.96229 0.65957 0.81206 0.56077 1.95635 1.00878 2.75663 0.0006734 0.0006734 0.0006734
70 69 493.663 0.45694 0.3794 0.81471 0.96229 0.65957 0.81206 0.56077 1.95635 1.00878 2.75663 0.0006536 0.0006536 0.0006536
71 70 501.106 0.40278 0.32074 0.79715 0.96229 0.65957 0.81206 0.56077 1.95635 1.00878 2.75663 0.0006338 0.0006338 0.0006338
72 71 508.402 0.39857 0.33279 0.81537 0.96271 0.65957 0.81099 0.58697 1.94767 0.99754 2.80662 0.000614 0.000614 0.000614
73 72 515.696 0.40247 0.33725 0.78816 0.96271 0.65957 0.81099 0.58697 1.94767 0.99754 2.80662 0.0005942 0.0005942 0.0005942
74 73 523.07 0.39433 0.34166 0.81986 0.93387 0.68085 0.81064 0.58104 1.96047 1.02217 2.87787 0.0005744 0.0005744 0.0005744
75 74 530.49 0.42905 0.32928 0.78476 0.93387 0.68085 0.81064 0.58104 1.96047 1.02217 2.87787 0.0005546 0.0005546 0.0005546
76 75 537.748 0.41053 0.3248 0.81549 0.93387 0.68085 0.81064 0.58104 1.96047 1.02217 2.87787 0.0005348 0.0005348 0.0005348
77 76 544.783 0.42907 0.33598 0.81903 0.94072 0.6754 0.81453 0.588 1.94129 1.02559 2.86753 0.000515 0.000515 0.000515
78 77 551.761 0.45655 0.34159 0.85825 0.94072 0.6754 0.81453 0.588 1.94129 1.02559 2.86753 0.0004952 0.0004952 0.0004952
79 78 558.861 0.49307 0.3593 0.84364 0.94072 0.6754 0.81453 0.588 1.94129 1.02559 2.86753 0.0004754 0.0004754 0.0004754
80 79 565.987 0.45071 0.36722 0.83586 0.93545 0.70213 0.82545 0.59818 1.91496 1.02404 2.85038 0.0004556 0.0004556 0.0004556
81 80 573.434 0.37219 0.3089 0.79477 0.93545 0.70213 0.82545 0.59818 1.91496 1.02404 2.85038 0.0004358 0.0004358 0.0004358
82 81 581.106 0.39847 0.35987 0.86066 0.91413 0.70213 0.82695 0.60759 1.8944 1.02225 2.8338 0.000416 0.000416 0.000416
83 82 588.809 0.38988 0.31729 0.81368 0.91413 0.70213 0.82695 0.60759 1.8944 1.02225 2.8338 0.0003962 0.0003962 0.0003962
84 83 596.079 0.38639 0.30485 0.75138 0.91413 0.70213 0.82695 0.60759 1.8944 1.02225 2.8338 0.0003764 0.0003764 0.0003764
85 84 603.32 0.41704 0.36667 0.87369 0.96765 0.68085 0.83459 0.61605 1.89497 1.02842 2.83662 0.0003566 0.0003566 0.0003566
86 85 610.394 0.33681 0.28313 0.81218 0.96765 0.68085 0.83459 0.61605 1.89497 1.02842 2.83662 0.0003368 0.0003368 0.0003368
87 86 617.752 0.37322 0.31959 0.79385 0.96765 0.68085 0.83459 0.61605 1.89497 1.02842 2.83662 0.000317 0.000317 0.000317
88 87 625.183 0.45962 0.35536 0.81656 0.96969 0.68067 0.83177 0.62047 1.87941 1.02986 2.79868 0.0002972 0.0002972 0.0002972
89 88 632.742 0.36904 0.31631 0.83574 0.96969 0.68067 0.83177 0.62047 1.87941 1.02986 2.79868 0.0002774 0.0002774 0.0002774
90 89 640.323 0.3617 0.29497 0.7893 0.97018 0.69243 0.83106 0.62723 1.85897 1.02811 2.77095 0.0002576 0.0002576 0.0002576
91 90 647.633 0.3237 0.29257 0.82206 0.97018 0.69243 0.83106 0.62723 1.85897 1.02811 2.77095 0.0002378 0.0002378 0.0002378
92 91 654.806 0.39389 0.3286 0.77008 0.97018 0.69243 0.83106 0.62723 1.85897 1.02811 2.77095 0.000218 0.000218 0.000218
93 92 661.809 0.3029 0.264 0.70661 0.90991 0.70213 0.82193 0.61584 1.8684 1.0214 2.82638 0.0001982 0.0001982 0.0001982
94 93 668.739 0.34489 0.28212 0.77101 0.90991 0.70213 0.82193 0.61584 1.8684 1.0214 2.82638 0.0001784 0.0001784 0.0001784
95 94 675.88 0.34258 0.29025 0.8611 0.90991 0.70213 0.82193 0.61584 1.8684 1.0214 2.82638 0.0001586 0.0001586 0.0001586
96 95 684.441 0.29383 0.26427 0.77257 0.90773 0.70213 0.81668 0.60796 1.87587 0.97956 2.88016 0.0001388 0.0001388 0.0001388
97 96 691.953 0.35009 0.29304 0.79716 0.90773 0.70213 0.81668 0.60796 1.87587 0.97956 2.88016 0.000119 0.000119 0.000119
98 97 699.581 0.31793 0.2364 0.82811 0.91344 0.67373 0.79713 0.59892 1.88348 0.94281 2.92673 9.92e-05 9.92e-05 9.92e-05
99 98 707.508 0.33161 0.26715 0.7161 0.91344 0.67373 0.79713 0.59892 1.88348 0.94281 2.92673 7.94e-05 7.94e-05 7.94e-05
100 99 715.921 0.33549 0.26578 0.72406 0.91344 0.67373 0.79713 0.59892 1.88348 0.94281 2.92673 5.96e-05 5.96e-05 5.96e-05
101 100 724.581 0.35572 0.2755 0.77517 0.95817 0.6383 0.79293 0.59659 1.88672 0.93711 2.95254 3.98e-05 3.98e-05 3.98e-05

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@ -0,0 +1,105 @@
task: detect
mode: train
model: C:\workspace\le-yolo\runs\detect\train34\weights\last.pt
data: data.yaml
epochs: 100
time: null
patience: 100
batch: 8
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: null
name: train35
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
stream_buffer: false
visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
embed: null
show: false
save_frames: false
save_txt: false
save_conf: false
save_crop: false
show_labels: true
show_conf: true
show_boxes: true
line_width: null
format: torchscript
keras: false
optimize: false
int8: false
dynamic: false
simplify: true
opset: null
workspace: null
nms: false
lr0: 0.01
lrf: 0.01
momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3.0
warmup_momentum: 0.8
warmup_bias_lr: 0.1
box: 7.5
cls: 0.5
dfl: 1.5
pose: 12.0
kobj: 1.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
scale: 0.5
shear: 0.0
perspective: 0.0
flipud: 0.0
fliplr: 0.5
bgr: 0.0
mosaic: 1.0
mixup: 0.0
cutmix: 0.0
copy_paste: 0.0
copy_paste_mode: flip
auto_augment: randaugment
erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: C:\workspace\le-yolo\runs\detect\train35

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