ESP32 now publishes on broker

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2025-12-27 17:45:08 +01:00
parent 0ec10f765d
commit 19ad13843c
217 changed files with 5166 additions and 26 deletions

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task: detect
mode: train
model: models/yolo11s.pt
data: ./datasets/pieces/unified/data.yaml
epochs: 150
time: null
patience: 20
batch: 12
imgsz: 640
save: true
save_period: 10
cache: false
device: '0'
workers: 8
project: result
name: unified-small
exist_ok: true
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
compile: 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: true
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: 10.0
translate: 0.1
scale: 0.1
shear: 2.0
perspective: 0.0
flipud: 0.5
fliplr: 0.5
bgr: 0.0
mosaic: 1.0
mixup: 0.5
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:\Users\Laurent\Desktop\board-mate\rpi\training\result\unified-small

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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
1,469.68,1.4588,1.56499,1.26743,0.7138,0.73829,0.74489,0.46721,1.35429,1.03222,1.18238,0.00333203,0.00333203,0.00333203
2,930.805,1.30938,1.03071,1.14974,0.81306,0.77515,0.8223,0.53213,1.29176,0.88476,1.13658,0.00662137,0.00662137,0.00662137
3,1385.97,1.29451,0.98114,1.13067,0.80681,0.76005,0.79528,0.51047,1.32415,0.92207,1.13726,0.00986671,0.00986671,0.00986671
4,1840.26,1.27626,0.94776,1.12616,0.84026,0.79785,0.84704,0.55468,1.29204,0.80333,1.1131,0.009802,0.009802,0.009802
5,2297.42,1.23767,0.88241,1.11547,0.8632,0.81914,0.86715,0.58435,1.22597,0.74588,1.10086,0.009736,0.009736,0.009736
6,2743.86,1.19804,0.82718,1.1022,0.87384,0.82354,0.87485,0.59487,1.21194,0.7117,1.09833,0.00967,0.00967,0.00967
7,3191.47,1.17186,0.7881,1.09341,0.88492,0.83586,0.88091,0.60785,1.19203,0.67321,1.08615,0.009604,0.009604,0.009604
8,3646.71,1.15818,0.76657,1.08976,0.89588,0.83731,0.88662,0.61578,1.16675,0.64156,1.08197,0.009538,0.009538,0.009538
9,4095.04,1.14433,0.75176,1.08606,0.89159,0.84849,0.88986,0.62397,1.1532,0.62466,1.07152,0.009472,0.009472,0.009472
10,4538.72,1.13229,0.73705,1.08097,0.90648,0.84697,0.89383,0.62912,1.14891,0.61086,1.07327,0.009406,0.009406,0.009406
11,5015.76,1.12043,0.72166,1.07782,0.90611,0.85248,0.89618,0.63746,1.12122,0.60398,1.06267,0.00934,0.00934,0.00934
12,5462.81,1.10717,0.70858,1.07164,0.91728,0.85037,0.89778,0.64081,1.11665,0.58918,1.06547,0.009274,0.009274,0.009274
13,5909.61,1.10204,0.69402,1.06979,0.92239,0.85081,0.90075,0.64708,1.0994,0.58013,1.05117,0.009208,0.009208,0.009208
14,6357.31,1.09757,0.69004,1.07018,0.92048,0.85302,0.90269,0.65066,1.0898,0.56696,1.04949,0.009142,0.009142,0.009142
15,6805.4,1.08261,0.67813,1.06249,0.9216,0.8554,0.90299,0.65352,1.08556,0.56459,1.04844,0.009076,0.009076,0.009076
16,7253.22,1.07969,0.67316,1.06249,0.93867,0.8532,0.90423,0.65793,1.07202,0.55066,1.04528,0.00901,0.00901,0.00901
17,7706.49,1.07302,0.66449,1.06065,0.9331,0.85267,0.90549,0.66131,1.06352,0.55008,1.04059,0.008944,0.008944,0.008944
18,8163.63,1.06878,0.65776,1.05646,0.94238,0.85321,0.90743,0.66427,1.05899,0.54161,1.03931,0.008878,0.008878,0.008878
19,8617.65,1.06094,0.65266,1.05424,0.94308,0.85336,0.90918,0.66715,1.05338,0.53867,1.03518,0.008812,0.008812,0.008812
20,9061.88,1.05899,0.64725,1.0533,0.94212,0.85584,0.90942,0.6693,1.04804,0.53296,1.0322,0.008746,0.008746,0.008746
21,9543.8,1.05373,0.64631,1.05307,0.94717,0.8561,0.9104,0.67015,1.044,0.52713,1.02972,0.00868,0.00868,0.00868
22,10025.7,1.04616,0.64231,1.04737,0.94793,0.85431,0.91076,0.67223,1.03728,0.52253,1.02813,0.008614,0.008614,0.008614
23,10534.3,1.04453,0.63509,1.0464,0.94859,0.8569,0.91168,0.67283,1.0362,0.5199,1.02708,0.008548,0.008548,0.008548
24,11013.9,1.0391,0.63,1.04558,0.9513,0.85641,0.91153,0.67441,1.03221,0.51731,1.02609,0.008482,0.008482,0.008482
25,11561.8,1.03281,0.63061,1.04392,0.95266,0.85681,0.91163,0.67555,1.02975,0.51647,1.02502,0.008416,0.008416,0.008416
26,12130,1.03067,0.62298,1.04136,0.95371,0.85685,0.91221,0.67638,1.02919,0.51482,1.02454,0.00835,0.00835,0.00835
27,12758.5,1.02674,0.62246,1.0395,0.95377,0.85823,0.91264,0.67718,1.02754,0.5124,1.02333,0.008284,0.008284,0.008284
28,13398.8,1.02412,0.62003,1.03772,0.95376,0.85867,0.9129,0.67802,1.02588,0.50997,1.02215,0.008218,0.008218,0.008218
29,13867.7,1.01843,0.61479,1.03603,0.95459,0.85898,0.91306,0.67849,1.0247,0.50866,1.02127,0.008152,0.008152,0.008152
30,14367.8,1.0158,0.60871,1.03531,0.95562,0.85835,0.9132,0.67911,1.02295,0.50646,1.02054,0.008086,0.008086,0.008086
31,14837.8,1.01703,0.61018,1.0366,0.95504,0.85963,0.91351,0.67944,1.02291,0.50515,1.02042,0.00802,0.00802,0.00802
32,15313.3,1.0105,0.60394,1.03358,0.95705,0.85842,0.91359,0.68019,1.02151,0.50401,1.01983,0.007954,0.007954,0.007954
33,15778.3,1.00972,0.59947,1.03269,0.95611,0.85983,0.91378,0.68088,1.02043,0.50302,1.0194,0.007888,0.007888,0.007888
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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 1 469.68 1.4588 1.56499 1.26743 0.7138 0.73829 0.74489 0.46721 1.35429 1.03222 1.18238 0.00333203 0.00333203 0.00333203
3 2 930.805 1.30938 1.03071 1.14974 0.81306 0.77515 0.8223 0.53213 1.29176 0.88476 1.13658 0.00662137 0.00662137 0.00662137
4 3 1385.97 1.29451 0.98114 1.13067 0.80681 0.76005 0.79528 0.51047 1.32415 0.92207 1.13726 0.00986671 0.00986671 0.00986671
5 4 1840.26 1.27626 0.94776 1.12616 0.84026 0.79785 0.84704 0.55468 1.29204 0.80333 1.1131 0.009802 0.009802 0.009802
6 5 2297.42 1.23767 0.88241 1.11547 0.8632 0.81914 0.86715 0.58435 1.22597 0.74588 1.10086 0.009736 0.009736 0.009736
7 6 2743.86 1.19804 0.82718 1.1022 0.87384 0.82354 0.87485 0.59487 1.21194 0.7117 1.09833 0.00967 0.00967 0.00967
8 7 3191.47 1.17186 0.7881 1.09341 0.88492 0.83586 0.88091 0.60785 1.19203 0.67321 1.08615 0.009604 0.009604 0.009604
9 8 3646.71 1.15818 0.76657 1.08976 0.89588 0.83731 0.88662 0.61578 1.16675 0.64156 1.08197 0.009538 0.009538 0.009538
10 9 4095.04 1.14433 0.75176 1.08606 0.89159 0.84849 0.88986 0.62397 1.1532 0.62466 1.07152 0.009472 0.009472 0.009472
11 10 4538.72 1.13229 0.73705 1.08097 0.90648 0.84697 0.89383 0.62912 1.14891 0.61086 1.07327 0.009406 0.009406 0.009406
12 11 5015.76 1.12043 0.72166 1.07782 0.90611 0.85248 0.89618 0.63746 1.12122 0.60398 1.06267 0.00934 0.00934 0.00934
13 12 5462.81 1.10717 0.70858 1.07164 0.91728 0.85037 0.89778 0.64081 1.11665 0.58918 1.06547 0.009274 0.009274 0.009274
14 13 5909.61 1.10204 0.69402 1.06979 0.92239 0.85081 0.90075 0.64708 1.0994 0.58013 1.05117 0.009208 0.009208 0.009208
15 14 6357.31 1.09757 0.69004 1.07018 0.92048 0.85302 0.90269 0.65066 1.0898 0.56696 1.04949 0.009142 0.009142 0.009142
16 15 6805.4 1.08261 0.67813 1.06249 0.9216 0.8554 0.90299 0.65352 1.08556 0.56459 1.04844 0.009076 0.009076 0.009076
17 16 7253.22 1.07969 0.67316 1.06249 0.93867 0.8532 0.90423 0.65793 1.07202 0.55066 1.04528 0.00901 0.00901 0.00901
18 17 7706.49 1.07302 0.66449 1.06065 0.9331 0.85267 0.90549 0.66131 1.06352 0.55008 1.04059 0.008944 0.008944 0.008944
19 18 8163.63 1.06878 0.65776 1.05646 0.94238 0.85321 0.90743 0.66427 1.05899 0.54161 1.03931 0.008878 0.008878 0.008878
20 19 8617.65 1.06094 0.65266 1.05424 0.94308 0.85336 0.90918 0.66715 1.05338 0.53867 1.03518 0.008812 0.008812 0.008812
21 20 9061.88 1.05899 0.64725 1.0533 0.94212 0.85584 0.90942 0.6693 1.04804 0.53296 1.0322 0.008746 0.008746 0.008746
22 21 9543.8 1.05373 0.64631 1.05307 0.94717 0.8561 0.9104 0.67015 1.044 0.52713 1.02972 0.00868 0.00868 0.00868
23 22 10025.7 1.04616 0.64231 1.04737 0.94793 0.85431 0.91076 0.67223 1.03728 0.52253 1.02813 0.008614 0.008614 0.008614
24 23 10534.3 1.04453 0.63509 1.0464 0.94859 0.8569 0.91168 0.67283 1.0362 0.5199 1.02708 0.008548 0.008548 0.008548
25 24 11013.9 1.0391 0.63 1.04558 0.9513 0.85641 0.91153 0.67441 1.03221 0.51731 1.02609 0.008482 0.008482 0.008482
26 25 11561.8 1.03281 0.63061 1.04392 0.95266 0.85681 0.91163 0.67555 1.02975 0.51647 1.02502 0.008416 0.008416 0.008416
27 26 12130 1.03067 0.62298 1.04136 0.95371 0.85685 0.91221 0.67638 1.02919 0.51482 1.02454 0.00835 0.00835 0.00835
28 27 12758.5 1.02674 0.62246 1.0395 0.95377 0.85823 0.91264 0.67718 1.02754 0.5124 1.02333 0.008284 0.008284 0.008284
29 28 13398.8 1.02412 0.62003 1.03772 0.95376 0.85867 0.9129 0.67802 1.02588 0.50997 1.02215 0.008218 0.008218 0.008218
30 29 13867.7 1.01843 0.61479 1.03603 0.95459 0.85898 0.91306 0.67849 1.0247 0.50866 1.02127 0.008152 0.008152 0.008152
31 30 14367.8 1.0158 0.60871 1.03531 0.95562 0.85835 0.9132 0.67911 1.02295 0.50646 1.02054 0.008086 0.008086 0.008086
32 31 14837.8 1.01703 0.61018 1.0366 0.95504 0.85963 0.91351 0.67944 1.02291 0.50515 1.02042 0.00802 0.00802 0.00802
33 32 15313.3 1.0105 0.60394 1.03358 0.95705 0.85842 0.91359 0.68019 1.02151 0.50401 1.01983 0.007954 0.007954 0.007954
34 33 15778.3 1.00972 0.59947 1.03269 0.95611 0.85983 0.91378 0.68088 1.02043 0.50302 1.0194 0.007888 0.007888 0.007888
35 34 16240.9 1.00426 0.59879 1.03068 0.95674 0.85982 0.91412 0.68173 1.01907 0.50182 1.01877 0.007822 0.007822 0.007822
36 35 16717.7 1.00091 0.59585 1.02954 0.95583 0.86062 0.9143 0.68221 1.01817 0.50083 1.01836 0.007756 0.007756 0.007756

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