Commit
·
effece0
1
Parent(s):
be1f564
add
Browse files- .DS_Store +0 -0
- .gitignore +1 -1
- Note2025Public1.run/F1_curve.png +0 -0
- Note2025Public1.run/PR_curve.png +0 -0
- Note2025Public1.run/P_curve.png +0 -0
- Note2025Public1.run/R_curve.png +0 -0
- Note2025Public1.run/args.yaml +106 -0
- Note2025Public1.run/confusion_matrix.png +0 -0
- Note2025Public1.run/confusion_matrix_normalized.png +0 -0
- Note2025Public1.run/events.out.tfevents.1738340590.JetsonNano.161266.0 +3 -0
- Note2025Public1.run/labels.jpg +0 -0
- Note2025Public1.run/labels_correlogram.jpg +0 -0
- Note2025Public1.run/results.csv +101 -0
- Note2025Public1.run/results.png +0 -0
- Note2025Public1.run/train_batch0.jpg +0 -0
- Note2025Public1.run/train_batch1.jpg +0 -0
- Note2025Public1.run/train_batch11880.jpg +0 -0
- Note2025Public1.run/train_batch11881.jpg +0 -0
- Note2025Public1.run/train_batch11882.jpg +0 -0
- Note2025Public1.run/train_batch2.jpg +0 -0
- Note2025Public1.run/val_batch0_labels.jpg +0 -0
- Note2025Public1.run/val_batch0_pred.jpg +0 -0
- Note2025Public1.run/val_batch1_labels.jpg +0 -0
- Note2025Public1.run/val_batch1_pred.jpg +0 -0
- Note2025Public1.run/val_batch2_labels.jpg +0 -0
- Note2025Public1.run/val_batch2_pred.jpg +0 -0
- Note2025Public1.run/weights/best.pt +3 -0
- Note2025Public1.run/weights/last.pt +3 -0
.DS_Store
CHANGED
Binary files a/.DS_Store and b/.DS_Store differ
|
|
.gitignore
CHANGED
@@ -1 +1 @@
|
|
1 |
-
|
|
|
1 |
+
*.DS_Store*
|
Note2025Public1.run/F1_curve.png
ADDED
![]() |
Note2025Public1.run/PR_curve.png
ADDED
![]() |
Note2025Public1.run/P_curve.png
ADDED
![]() |
Note2025Public1.run/R_curve.png
ADDED
![]() |
Note2025Public1.run/args.yaml
ADDED
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
task: detect
|
2 |
+
mode: train
|
3 |
+
model: yolo11n
|
4 |
+
data: datasets/Note2025Public1/data.yaml
|
5 |
+
epochs: 100
|
6 |
+
time: null
|
7 |
+
patience: 100
|
8 |
+
batch: 8
|
9 |
+
imgsz: 640
|
10 |
+
save: true
|
11 |
+
save_period: -1
|
12 |
+
cache: false
|
13 |
+
device: 0
|
14 |
+
workers: 8
|
15 |
+
project: null
|
16 |
+
name: train15
|
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: runs/detect/train15
|
Note2025Public1.run/confusion_matrix.png
ADDED
![]() |
Note2025Public1.run/confusion_matrix_normalized.png
ADDED
![]() |
Note2025Public1.run/events.out.tfevents.1738340590.JetsonNano.161266.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a5e3b59d5b9f0efd96405b38ff1ef6ece36ab4c7d0b4042a8cb9d9caf0dac934
|
3 |
+
size 337460
|
Note2025Public1.run/labels.jpg
ADDED
![]() |
Note2025Public1.run/labels_correlogram.jpg
ADDED
![]() |
Note2025Public1.run/results.csv
ADDED
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
1,54.2224,0.61954,1.75435,0.97184,0.82102,0.88613,0.92594,0.78888,0.59966,1.16632,0.92685,0.000551457,0.000551457,0.000551457
|
3 |
+
2,97.977,0.63401,1.03546,0.95083,0.90431,0.9492,0.9498,0.81252,0.60802,0.94955,0.95339,0.00109616,0.00109616,0.00109616
|
4 |
+
3,140.362,0.64292,0.93744,0.9642,0.87332,0.9335,0.93619,0.7725,0.6242,1.05829,0.97665,0.00162987,0.00162987,0.00162987
|
5 |
+
4,182.233,0.65372,0.84043,0.97819,0.9472,0.94247,0.96745,0.85537,0.57268,0.87351,0.90532,0.00161749,0.00161749,0.00161749
|
6 |
+
5,224.106,0.63216,0.7189,0.95823,0.91908,0.90366,0.95829,0.85042,0.53079,0.76257,0.89987,0.00160099,0.00160099,0.00160099
|
7 |
+
6,265.837,0.59036,0.67093,0.94254,0.97105,0.97877,0.98335,0.89077,0.48088,0.51578,0.85935,0.00158448,0.00158448,0.00158448
|
8 |
+
7,307.676,0.58265,0.60106,0.93984,0.95596,0.92309,0.97048,0.87673,0.49004,0.65644,0.87059,0.00156798,0.00156798,0.00156798
|
9 |
+
8,349.386,0.55956,0.56589,0.93157,0.94105,0.95504,0.9746,0.88444,0.47678,0.55377,0.88808,0.00155148,0.00155148,0.00155148
|
10 |
+
9,391.227,0.5464,0.53046,0.93066,0.9711,0.97728,0.98082,0.89824,0.46108,0.53202,0.86316,0.00153497,0.00153497,0.00153497
|
11 |
+
10,432.995,0.52646,0.51734,0.91872,0.96882,0.97205,0.98239,0.90208,0.44478,0.45479,0.87063,0.00151847,0.00151847,0.00151847
|
12 |
+
11,474.888,0.5202,0.50538,0.91571,0.96069,0.96782,0.98317,0.90275,0.42604,0.44657,0.84351,0.00150197,0.00150197,0.00150197
|
13 |
+
12,516.683,0.52932,0.49833,0.92796,0.9758,0.95871,0.9811,0.8976,0.45618,0.46792,0.87398,0.00148546,0.00148546,0.00148546
|
14 |
+
13,558.498,0.53198,0.48766,0.9196,0.95946,0.96764,0.9869,0.91281,0.41595,0.41941,0.83831,0.00146896,0.00146896,0.00146896
|
15 |
+
14,600.212,0.49114,0.45579,0.90783,0.97904,0.98321,0.99107,0.92711,0.37423,0.37839,0.82473,0.00145246,0.00145246,0.00145246
|
16 |
+
15,641.899,0.48234,0.43436,0.90586,0.97119,0.98281,0.98665,0.91488,0.40193,0.41213,0.84425,0.00143595,0.00143595,0.00143595
|
17 |
+
16,683.531,0.48593,0.43803,0.90783,0.98129,0.97562,0.98733,0.9159,0.38824,0.38627,0.82657,0.00141945,0.00141945,0.00141945
|
18 |
+
17,725.252,0.47539,0.42698,0.901,0.97476,0.98371,0.98668,0.9163,0.4019,0.36803,0.84414,0.00140295,0.00140295,0.00140295
|
19 |
+
18,766.903,0.48961,0.42355,0.90808,0.9853,0.97831,0.9882,0.92592,0.38402,0.34523,0.83663,0.00138644,0.00138644,0.00138644
|
20 |
+
19,808.685,0.4676,0.41636,0.89794,0.98751,0.97591,0.98691,0.93175,0.37661,0.36279,0.8261,0.00136994,0.00136994,0.00136994
|
21 |
+
20,850.441,0.4531,0.40128,0.89445,0.98507,0.98167,0.98798,0.9388,0.36175,0.33926,0.8171,0.00135344,0.00135344,0.00135344
|
22 |
+
21,892.2,0.45982,0.39427,0.89313,0.98089,0.98299,0.99064,0.92973,0.3747,0.34102,0.8317,0.00133693,0.00133693,0.00133693
|
23 |
+
22,933.894,0.4504,0.39265,0.89482,0.98827,0.97439,0.98773,0.93063,0.34359,0.33688,0.81732,0.00132043,0.00132043,0.00132043
|
24 |
+
23,975.652,0.46134,0.40046,0.89995,0.98143,0.98311,0.98711,0.9246,0.38407,0.35302,0.83529,0.00130393,0.00130393,0.00130393
|
25 |
+
24,1017.37,0.44258,0.38757,0.89814,0.97409,0.98364,0.98837,0.94004,0.34194,0.33197,0.8169,0.00128742,0.00128742,0.00128742
|
26 |
+
25,1059.13,0.43454,0.38255,0.88766,0.98929,0.97894,0.98525,0.92773,0.34776,0.34604,0.82468,0.00127092,0.00127092,0.00127092
|
27 |
+
26,1100.85,0.44612,0.3852,0.88743,0.98824,0.98315,0.99101,0.93006,0.37014,0.32457,0.82454,0.00125442,0.00125442,0.00125442
|
28 |
+
27,1142.54,0.4317,0.38031,0.88296,0.98992,0.98584,0.9925,0.94568,0.33873,0.30605,0.81378,0.00123791,0.00123791,0.00123791
|
29 |
+
28,1184.27,0.42169,0.369,0.88007,0.98896,0.97384,0.9904,0.93858,0.33846,0.32119,0.81121,0.00122141,0.00122141,0.00122141
|
30 |
+
29,1225.98,0.41962,0.36014,0.87606,0.99141,0.9816,0.9896,0.94126,0.34311,0.3117,0.81103,0.00120491,0.00120491,0.00120491
|
31 |
+
30,1267.59,0.42923,0.36681,0.88423,0.98726,0.98053,0.9901,0.93455,0.3511,0.31575,0.81925,0.0011884,0.0011884,0.0011884
|
32 |
+
31,1309.32,0.42326,0.36415,0.88427,0.99067,0.98729,0.99051,0.94699,0.3241,0.29337,0.80785,0.0011719,0.0011719,0.0011719
|
33 |
+
32,1350.99,0.4187,0.36413,0.87315,0.98747,0.98475,0.98694,0.94197,0.34149,0.30828,0.81196,0.0011554,0.0011554,0.0011554
|
34 |
+
33,1392.67,0.4163,0.3617,0.8826,0.99122,0.98516,0.99313,0.94881,0.31287,0.28667,0.80307,0.00113889,0.00113889,0.00113889
|
35 |
+
34,1434.31,0.40217,0.3545,0.87694,0.99366,0.98056,0.99,0.94739,0.31581,0.29412,0.8019,0.00112239,0.00112239,0.00112239
|
36 |
+
35,1475.98,0.40361,0.34063,0.87096,0.99193,0.98729,0.99234,0.9543,0.30696,0.27162,0.7996,0.00110589,0.00110589,0.00110589
|
37 |
+
36,1517.61,0.41233,0.34191,0.88293,0.99299,0.98691,0.99275,0.95027,0.32559,0.27488,0.8099,0.00108938,0.00108938,0.00108938
|
38 |
+
37,1559.32,0.40283,0.33769,0.87329,0.94902,0.9855,0.98369,0.94697,0.29786,0.31521,0.80214,0.00107288,0.00107288,0.00107288
|
39 |
+
38,1601.04,0.3864,0.33014,0.87504,0.99255,0.98714,0.9903,0.94568,0.31041,0.26584,0.80321,0.00105638,0.00105638,0.00105638
|
40 |
+
39,1642.81,0.3973,0.33777,0.87127,0.99101,0.98455,0.99008,0.94925,0.31609,0.27669,0.80612,0.00103987,0.00103987,0.00103987
|
41 |
+
40,1684.45,0.38921,0.33073,0.87463,0.99148,0.9869,0.99093,0.94933,0.30535,0.26343,0.80525,0.00102337,0.00102337,0.00102337
|
42 |
+
41,1726.23,0.39044,0.33257,0.88048,0.99268,0.98572,0.99129,0.95472,0.29323,0.26132,0.79662,0.00100687,0.00100687,0.00100687
|
43 |
+
42,1767.9,0.3924,0.32883,0.87827,0.98961,0.98423,0.99256,0.95178,0.29847,0.27648,0.80062,0.000990365,0.000990365,0.000990365
|
44 |
+
43,1809.66,0.38182,0.32292,0.87191,0.99073,0.98508,0.99226,0.95322,0.30641,0.28265,0.80556,0.000973861,0.000973861,0.000973861
|
45 |
+
44,1851.33,0.38008,0.322,0.86827,0.95873,0.97312,0.98902,0.95016,0.30154,0.31741,0.81365,0.000957358,0.000957358,0.000957358
|
46 |
+
45,1892.97,0.36954,0.30916,0.86638,0.9948,0.98729,0.99309,0.96022,0.28619,0.25093,0.7966,0.000940855,0.000940855,0.000940855
|
47 |
+
46,1934.63,0.37313,0.31038,0.86919,0.98474,0.98504,0.98975,0.94706,0.31059,0.27073,0.8032,0.000924352,0.000924352,0.000924352
|
48 |
+
47,1976.29,0.36722,0.30996,0.85877,0.9919,0.98855,0.99036,0.95865,0.29738,0.26085,0.79639,0.000907848,0.000907848,0.000907848
|
49 |
+
48,2017.85,0.36818,0.33006,0.87189,0.99094,0.98406,0.98758,0.95114,0.30075,0.26981,0.80709,0.000891345,0.000891345,0.000891345
|
50 |
+
49,2059.56,0.35723,0.3065,0.85738,0.99045,0.98688,0.99007,0.95506,0.28218,0.24803,0.79614,0.000874842,0.000874842,0.000874842
|
51 |
+
50,2101.23,0.36064,0.31457,0.86473,0.99468,0.98631,0.98943,0.95486,0.28668,0.24225,0.80013,0.000858338,0.000858338,0.000858338
|
52 |
+
51,2142.98,0.36307,0.31047,0.86433,0.98945,0.98291,0.98936,0.95638,0.28352,0.2427,0.79576,0.000841835,0.000841835,0.000841835
|
53 |
+
52,2184.61,0.35575,0.30367,0.86522,0.992,0.9855,0.99038,0.95808,0.28259,0.2467,0.79879,0.000825332,0.000825332,0.000825332
|
54 |
+
53,2226.38,0.35562,0.30648,0.85559,0.99155,0.98729,0.99369,0.96112,0.27389,0.23302,0.79668,0.000808828,0.000808828,0.000808828
|
55 |
+
54,2268.05,0.35889,0.30288,0.86577,0.98933,0.98119,0.99351,0.96357,0.27435,0.24274,0.79151,0.000792325,0.000792325,0.000792325
|
56 |
+
55,2309.83,0.36007,0.29933,0.865,0.99255,0.9855,0.99131,0.95877,0.28078,0.24077,0.78993,0.000775822,0.000775822,0.000775822
|
57 |
+
56,2351.5,0.35784,0.29922,0.85521,0.98819,0.98662,0.99107,0.96251,0.27496,0.24468,0.7914,0.000759318,0.000759318,0.000759318
|
58 |
+
57,2393.21,0.35012,0.30074,0.86373,0.99486,0.98641,0.99019,0.95825,0.27715,0.23568,0.78986,0.000742815,0.000742815,0.000742815
|
59 |
+
58,2434.91,0.34602,0.29064,0.86281,0.99486,0.98729,0.99231,0.96229,0.26856,0.23832,0.79316,0.000726312,0.000726312,0.000726312
|
60 |
+
59,2476.66,0.34181,0.30307,0.85446,0.99489,0.98729,0.99237,0.96273,0.27744,0.24018,0.79761,0.000709809,0.000709809,0.000709809
|
61 |
+
60,2518.34,0.34606,0.29254,0.86057,0.99428,0.98616,0.99011,0.96373,0.26807,0.24052,0.79495,0.000693305,0.000693305,0.000693305
|
62 |
+
61,2560.11,0.34287,0.28819,0.85625,0.98969,0.9855,0.9896,0.9629,0.26419,0.22907,0.79456,0.000676802,0.000676802,0.000676802
|
63 |
+
62,2601.77,0.3408,0.29096,0.85761,0.9952,0.98729,0.99365,0.96223,0.27018,0.23528,0.79197,0.000660299,0.000660299,0.000660299
|
64 |
+
63,2643.53,0.33249,0.28009,0.85692,0.99269,0.9867,0.99279,0.9638,0.26477,0.22494,0.79012,0.000643795,0.000643795,0.000643795
|
65 |
+
64,2685.21,0.33683,0.29074,0.8565,0.98875,0.9895,0.99147,0.96637,0.25905,0.22054,0.78814,0.000627292,0.000627292,0.000627292
|
66 |
+
65,2726.91,0.32998,0.27506,0.85433,0.99173,0.98698,0.99091,0.96643,0.25472,0.22673,0.78607,0.000610789,0.000610789,0.000610789
|
67 |
+
66,2768.53,0.33008,0.29795,0.85562,0.99206,0.98729,0.99114,0.96573,0.26036,0.22829,0.7894,0.000594286,0.000594286,0.000594286
|
68 |
+
67,2810.24,0.34792,0.28095,0.86111,0.99163,0.98729,0.9923,0.96511,0.25895,0.22009,0.79284,0.000577782,0.000577782,0.000577782
|
69 |
+
68,2851.91,0.32742,0.26777,0.84956,0.99203,0.98729,0.9926,0.96573,0.25741,0.22066,0.78696,0.000561279,0.000561279,0.000561279
|
70 |
+
69,2893.64,0.32206,0.27004,0.85559,0.99512,0.98729,0.99109,0.96902,0.24622,0.21568,0.78174,0.000544776,0.000544776,0.000544776
|
71 |
+
70,2935.48,0.32929,0.26809,0.85125,0.99472,0.98707,0.99335,0.97017,0.25353,0.21239,0.78482,0.000528272,0.000528272,0.000528272
|
72 |
+
71,2977.32,0.32259,0.27622,0.85435,0.99422,0.98729,0.99342,0.96516,0.25867,0.21988,0.78873,0.000511769,0.000511769,0.000511769
|
73 |
+
72,3019.01,0.31381,0.27028,0.85294,0.99458,0.98729,0.99329,0.96871,0.24614,0.2149,0.78202,0.000495266,0.000495266,0.000495266
|
74 |
+
73,3060.8,0.31469,0.25917,0.85064,0.99241,0.98729,0.99105,0.96702,0.25691,0.21628,0.78809,0.000478762,0.000478762,0.000478762
|
75 |
+
74,3102.42,0.32003,0.27386,0.84756,0.98947,0.98729,0.99073,0.96706,0.24525,0.20759,0.78797,0.000462259,0.000462259,0.000462259
|
76 |
+
75,3144.12,0.30472,0.25955,0.8463,0.99431,0.98729,0.99347,0.96869,0.239,0.20818,0.77986,0.000445756,0.000445756,0.000445756
|
77 |
+
76,3185.79,0.31236,0.26519,0.85037,0.99206,0.98729,0.99062,0.97039,0.23577,0.20511,0.77874,0.000429253,0.000429253,0.000429253
|
78 |
+
77,3227.53,0.30246,0.26373,0.84544,0.99474,0.98729,0.98867,0.96875,0.25017,0.20839,0.7841,0.000412749,0.000412749,0.000412749
|
79 |
+
78,3269.19,0.3057,0.2496,0.84616,0.99463,0.98729,0.98963,0.96659,0.2406,0.20215,0.78167,0.000396246,0.000396246,0.000396246
|
80 |
+
79,3310.84,0.2982,0.25079,0.84559,0.99503,0.98729,0.98983,0.96842,0.24005,0.20159,0.78467,0.000379743,0.000379743,0.000379743
|
81 |
+
80,3352.41,0.30143,0.25206,0.84251,0.99464,0.98729,0.99081,0.96847,0.2375,0.20122,0.78214,0.000363239,0.000363239,0.000363239
|
82 |
+
81,3394.07,0.29342,0.24042,0.84625,0.99394,0.99249,0.99345,0.97035,0.23862,0.19844,0.78025,0.000346736,0.000346736,0.000346736
|
83 |
+
82,3435.71,0.29305,0.25087,0.84477,0.99488,0.98969,0.99137,0.97074,0.23851,0.19952,0.7851,0.000330233,0.000330233,0.000330233
|
84 |
+
83,3477.43,0.28742,0.24684,0.84882,0.9947,0.98963,0.99056,0.96978,0.23083,0.19652,0.78122,0.000313729,0.000313729,0.000313729
|
85 |
+
84,3519.09,0.29051,0.24943,0.84305,0.99421,0.98969,0.99108,0.96992,0.2387,0.1976,0.78259,0.000297226,0.000297226,0.000297226
|
86 |
+
85,3560.83,0.28303,0.23925,0.83873,0.99079,0.99275,0.99292,0.97223,0.22899,0.19036,0.78129,0.000280723,0.000280723,0.000280723
|
87 |
+
86,3602.5,0.28342,0.23893,0.84229,0.99442,0.98729,0.99257,0.97186,0.22825,0.18994,0.78,0.00026422,0.00026422,0.00026422
|
88 |
+
87,3644.2,0.2833,0.23262,0.84009,0.9913,0.98954,0.99296,0.97196,0.23115,0.19023,0.78161,0.000247716,0.000247716,0.000247716
|
89 |
+
88,3685.86,0.27988,0.2361,0.84178,0.99162,0.98951,0.99069,0.96961,0.23577,0.18997,0.78484,0.000231213,0.000231213,0.000231213
|
90 |
+
89,3727.62,0.28409,0.24722,0.84529,0.99493,0.98729,0.99123,0.97356,0.22468,0.18425,0.78062,0.00021471,0.00021471,0.00021471
|
91 |
+
90,3769.33,0.27643,0.23006,0.83592,0.9947,0.98729,0.99282,0.97467,0.22083,0.18508,0.7799,0.000198206,0.000198206,0.000198206
|
92 |
+
91,3812.17,0.22657,0.19077,0.78923,0.99467,0.98729,0.99039,0.97049,0.22675,0.19504,0.78277,0.000181703,0.000181703,0.000181703
|
93 |
+
92,3854.47,0.22475,0.19147,0.77755,0.99422,0.98729,0.99317,0.97175,0.22614,0.19054,0.78239,0.0001652,0.0001652,0.0001652
|
94 |
+
93,3896,0.2223,0.19484,0.78805,0.99441,0.98677,0.99299,0.97506,0.21841,0.19065,0.77816,0.000148696,0.000148696,0.000148696
|
95 |
+
94,3937.88,0.2141,0.18527,0.79052,0.9945,0.98729,0.99298,0.97382,0.22143,0.1903,0.77948,0.000132193,0.000132193,0.000132193
|
96 |
+
95,3979.4,0.20966,0.18081,0.78065,0.99466,0.98729,0.99094,0.97523,0.21731,0.1825,0.77983,0.00011569,0.00011569,0.00011569
|
97 |
+
96,4020.88,0.21272,0.18404,0.79151,0.99476,0.98729,0.99294,0.97561,0.21243,0.17937,0.77865,9.91865e-05,9.91865e-05,9.91865e-05
|
98 |
+
97,4062.43,0.20762,0.17766,0.78086,0.99459,0.98729,0.99296,0.9755,0.21166,0.18097,0.7779,8.26832e-05,8.26832e-05,8.26832e-05
|
99 |
+
98,4103.87,0.20362,0.17633,0.78754,0.99407,0.98729,0.99298,0.97613,0.21178,0.1829,0.77695,6.61799e-05,6.61799e-05,6.61799e-05
|
100 |
+
99,4145.36,0.20425,0.17598,0.78006,0.99475,0.98729,0.99301,0.97567,0.21084,0.17768,0.77687,4.96766e-05,4.96766e-05,4.96766e-05
|
101 |
+
100,4186.78,0.20283,0.17324,0.78189,0.99469,0.98729,0.99312,0.97463,0.20963,0.17607,0.77687,3.31733e-05,3.31733e-05,3.31733e-05
|
Note2025Public1.run/results.png
ADDED
![]() |
Note2025Public1.run/train_batch0.jpg
ADDED
![]() |
Note2025Public1.run/train_batch1.jpg
ADDED
![]() |
Note2025Public1.run/train_batch11880.jpg
ADDED
![]() |
Note2025Public1.run/train_batch11881.jpg
ADDED
![]() |
Note2025Public1.run/train_batch11882.jpg
ADDED
![]() |
Note2025Public1.run/train_batch2.jpg
ADDED
![]() |
Note2025Public1.run/val_batch0_labels.jpg
ADDED
![]() |
Note2025Public1.run/val_batch0_pred.jpg
ADDED
![]() |
Note2025Public1.run/val_batch1_labels.jpg
ADDED
![]() |
Note2025Public1.run/val_batch1_pred.jpg
ADDED
![]() |
Note2025Public1.run/val_batch2_labels.jpg
ADDED
![]() |
Note2025Public1.run/val_batch2_pred.jpg
ADDED
![]() |
Note2025Public1.run/weights/best.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:335075be8f9ef3a2e6915b40d53770c062aae9cc8d0eaab76376d31b38bc0609
|
3 |
+
size 5453843
|
Note2025Public1.run/weights/last.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e3de792eaa31f4e04efdce9505a580067f8369446e1bd8e0c217005c2fef0f03
|
3 |
+
size 5453843
|