Open12
Wholebody34
PINTOcollarbone: 鎖骨
solar_plexus: みぞおち
abdomen: 丹田
hip_joint: 股関節
wrist: 手首
ankle: 足首
確認対象画像
-
7221 - 327
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10082 - 452
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10442 - 468
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11065 - 499
-
12069
- 14428 - 667
- 19096 - 906
- 19318 - 912
- 19754 - 942
- 21498 - 1025
- 22935 - 1108
- 23140 - 1122
- 29519 - 1411
- 39538 - 1895
- 47801 - 2277
- 51396
- 54020 - 2603
- 54743
- 56729
- 57515 - 2778
- 59293
- 65500 - 3163
- 84866 - 4045
- 88754 - 4226
PINTO7,835
0000000024808 1203
肩・肘・膝の修正：7585
names:
0: collarbone
1: solar_plexus
2: wrist
3: abdomen
4: hip_joint
5: ankle
names:
0: body
1: adult
2: child
3: male
4: female
5: body_with_wheelchair
6: body_with_crutches
7: head
8: front
9: right-front
10: right-side
11: right-back
12: back
13: left-back
14: left-side
15: left-front
16: face
17: eye
18: nose
19: mouth
20: ear
21: collarbone
22: shoulder
23: solar_plexus
24: elbow
25: wrist
26: hand
27: hand_left
28: hand_right
29: abdomen
30: hip_joint
31: knee
32: ankle
33: foot
train.sh
#!/bin/bash
########################################
# 1. 最初のコマンドを1回実行
########################################
echo "=== Run initial training ==="
python train_dual.py \
--workers 8 \
--device 0 \
--batch 2 \
--data data/original_34.yaml \
--img 640 \
--cfg models/detect/yolov9-e_original.yaml \
--weights best-e.pt \
--name yolov9-wholebody34-e \
--hyp hyp.scratch-high_original.yaml \
--min-items 0 \
--epochs 100 \
--close-mosaic 15 \
--patience 0
# 戻り値をチェック
if [ $? -eq 0 ]; then
echo "Initial training success!"
exit 0
else
echo "Initial training failed. Will try resume training..."
fi
########################################
# 2. リトライ(2つ目のコマンド)を最大5回まで行う
########################################
MAX_RETRY=5
count=1
while [ $count -le $MAX_RETRY ]
do
echo "=== Resume training try #$count ==="
python train_dual.py \
--workers 8 \
--device 0 \
--batch 2 \
--data data/original_34.yaml \
--img 640 \
--cfg models/detect/yolov9-e_original.yaml \
--resume runs/train/yolov9-wholebody34-e/weights/last.pt \
--name yolov9-wholebody34-e \
--hyp hyp.scratch-high_original.yaml \
--min-items 0 \
--epochs 100 \
--close-mosaic 15 \
--patience 0
# 戻り値をチェック(0なら成功)
if [ $? -eq 0 ]; then
echo "Resume training success at try #$count!"
exit 0
else
echo "Resume training failed at try #$count."
count=$((count+1))
fi
done
echo "All resume attempts have failed."
exit 1
E-150
Class Images Instances P R mAP50 mAP50-95
all 52 10581 0.816 0.405 0.524 0.392
body 52 1245 0.938 0.265 0.530 0.426
adult 52 1179 0.975 0.132 0.442 0.412
child 52 61 0.970 0.689 0.760 0.734
male 52 744 0.941 0.207 0.478 0.438
female 52 248 0.927 0.181 0.351 0.341
head 52 1187 0.972 0.410 0.670 0.481
front 52 435 0.931 0.055 0.216 0.181
right-front 52 77 0.929 0.532 0.662 0.609
right-side 52 32 0.608 0.375 0.412 0.382
right-back 52 20 0.891 0.400 0.635 0.521
back 52 16 0.594 0.562 0.615 0.488
left-back 52 19 0.932 0.632 0.695 0.619
left-side 52 63 0.959 0.373 0.528 0.470
left-front 52 525 0.936 0.027 0.119 0.117
face 52 363 0.934 0.320 0.534 0.455
eye 52 147 0.756 0.421 0.508 0.239
nose 52 101 0.801 0.723 0.775 0.488
mouth 52 95 0.811 0.632 0.702 0.390
ear 52 107 0.800 0.654 0.723 0.489
collarbone 52 698 0.567 0.083 0.128 0.058
shoulder 52 978 0.752 0.195 0.314 0.185
solar_plexus 52 170 0.447 0.224 0.240 0.103
elbow 52 319 0.821 0.451 0.529 0.340
wrist 52 306 0.718 0.294 0.355 0.168
hand 52 235 0.973 0.607 0.790 0.639
hand_left 52 108 0.940 0.565 0.734 0.606
hand_right 52 127 0.960 0.512 0.745 0.597
abdomen 52 144 0.528 0.299 0.321 0.140
hip_joint 52 282 0.565 0.344 0.375 0.226
knee 52 226 0.722 0.535 0.607 0.370
ankle 52 154 0.623 0.461 0.424 0.196
foot 52 170 0.899 0.794 0.864 0.629
E - 300
Class Images Instances P R mAP50 mAP50-95
all 118 10366 0.858 0.634 0.715 0.563
body 118 601 0.986 0.867 0.961 0.909
adult 118 492 0.983 0.797 0.902 0.869
child 118 72 0.984 0.830 0.906 0.876
male 118 357 0.970 0.852 0.924 0.888
female 118 122 0.963 0.862 0.915 0.886
body_with_wheelchair 118 2 0.737 1.000 0.995 0.951
head 118 548 0.960 0.934 0.975 0.837
front 118 115 0.816 0.500 0.612 0.544
right-front 118 109 0.908 0.542 0.631 0.590
right-side 118 85 0.894 0.793 0.855 0.768
right-back 118 41 0.938 0.733 0.821 0.705
back 118 34 0.783 0.471 0.623 0.536
left-back 118 20 0.920 0.550 0.579 0.548
left-side 118 60 0.897 0.650 0.755 0.660
left-front 118 84 0.859 0.579 0.668 0.597
face 118 333 0.962 0.880 0.923 0.760
eye 118 333 0.808 0.366 0.474 0.227
nose 118 300 0.913 0.547 0.646 0.385
mouth 118 240 0.833 0.475 0.568 0.293
ear 118 276 0.862 0.587 0.690 0.434
collarbone 118 504 0.611 0.356 0.360 0.135
shoulder 118 841 0.797 0.611 0.692 0.391
solar_plexus 118 433 0.513 0.289 0.308 0.138
elbow 118 612 0.852 0.576 0.665 0.394
wrist 118 565 0.721 0.398 0.448 0.216
hand 118 468 0.993 0.669 0.883 0.724
hand_left 118 234 0.943 0.712 0.840 0.695
hand_right 118 234 0.978 0.667 0.852 0.693
abdomen 118 324 0.666 0.383 0.431 0.219
hip_joint 118 596 0.738 0.512 0.566 0.335
knee 118 497 0.816 0.633 0.709 0.435
ankle 118 425 0.764 0.481 0.521 0.268
foot 118 409 0.937 0.839 0.900 0.689
PINTOE - 600
Class Images Instances P R mAP50 mAP50-95
all 235 23281 0.838 0.557 0.656 0.503
body 235 1752 0.954 0.604 0.774 0.720
adult 235 1485 0.943 0.685 0.827 0.749
child 235 141 0.951 0.823 0.877 0.853
male 235 933 0.929 0.610 0.745 0.711
female 235 421 0.944 0.682 0.794 0.754
head 235 1552 0.938 0.644 0.779 0.668
front 235 406 0.890 0.293 0.446 0.411
right-front 235 214 0.860 0.556 0.677 0.614
right-side 235 148 0.889 0.574 0.689 0.619
right-back 235 65 0.890 0.615 0.687 0.622
back 235 86 0.888 0.419 0.555 0.491
left-back 235 60 0.922 0.595 0.697 0.612
left-side 235 149 0.889 0.594 0.697 0.644
left-front 235 424 0.773 0.226 0.357 0.315
face 235 739 0.947 0.748 0.837 0.696
eye 235 556 0.807 0.486 0.597 0.303
nose 235 480 0.894 0.671 0.733 0.462
mouth 235 401 0.838 0.606 0.684 0.387
ear 235 477 0.856 0.639 0.737 0.484
collarbone 235 1301 0.619 0.301 0.343 0.144
shoulder 235 1942 0.772 0.543 0.631 0.360
solar_plexus 235 892 0.556 0.337 0.353 0.163
elbow 235 1201 0.759 0.533 0.601 0.352
wrist 235 1121 0.740 0.398 0.452 0.220
hand 235 906 0.937 0.678 0.844 0.689
hand_left 235 460 0.945 0.636 0.807 0.664
hand_right 235 446 0.913 0.614 0.779 0.641
abdomen 235 726 0.617 0.416 0.459 0.238
hip_joint 235 1284 0.676 0.489 0.530 0.285
knee 235 952 0.736 0.585 0.652 0.371
ankle 235 821 0.686 0.462 0.503 0.231
foot 235 740 0.866 0.777 0.849 0.632
E - 800
Class Images Instances P R mAP50 mAP50-95
all 312 35882 0.828 0.560 0.653 0.484
body 312 2694 0.901 0.754 0.881 0.751
adult 312 1909 0.952 0.650 0.831 0.770
child 312 300 0.946 0.826 0.888 0.838
male 312 1371 0.851 0.772 0.862 0.769
female 312 560 0.943 0.796 0.886 0.834
head 312 2287 0.908 0.853 0.921 0.729
front 312 588 0.910 0.485 0.638 0.543
right-front 312 419 0.893 0.465 0.599 0.531
right-side 312 243 0.912 0.576 0.688 0.630
right-back 312 86 0.837 0.547 0.661 0.578
back 312 127 0.861 0.362 0.496 0.419
left-back 312 90 0.950 0.427 0.546 0.487
left-side 312 272 0.868 0.419 0.530 0.478
left-front 312 462 0.741 0.314 0.433 0.368
face 312 1036 0.939 0.914 0.946 0.780
eye 312 1101 0.821 0.348 0.448 0.194
nose 312 923 0.898 0.638 0.720 0.403
mouth 312 789 0.815 0.496 0.578 0.285
ear 312 892 0.814 0.570 0.657 0.375
collarbone 312 2272 0.606 0.304 0.336 0.136
shoulder 312 3234 0.778 0.551 0.619 0.332
solar_plexus 312 1570 0.519 0.308 0.311 0.132
elbow 312 1886 0.741 0.510 0.559 0.307
wrist 312 1598 0.726 0.392 0.433 0.195
hand 312 1292 0.950 0.630 0.841 0.647
hand_left 312 652 0.931 0.622 0.802 0.630
hand_right 312 640 0.921 0.584 0.782 0.599
abdomen 312 1029 0.604 0.428 0.447 0.222
hip_joint 312 1801 0.656 0.490 0.518 0.276
knee 312 1454 0.743 0.575 0.631 0.354
ankle 312 1185 0.698 0.506 0.535 0.254
foot 312 1120 0.861 0.810 0.865 0.640
E - 900
Class Images Instances P R mAP50 mAP50-95
all 312 35882 0.842 0.525 0.632 0.481
body 312 2694 0.945 0.686 0.826 0.744
adult 312 1909 0.961 0.631 0.803 0.766
child 312 300 0.967 0.771 0.850 0.809
male 312 1371 0.895 0.709 0.810 0.759
female 312 560 0.962 0.774 0.864 0.822
head 312 2287 0.931 0.768 0.863 0.715
front 312 588 0.928 0.423 0.601 0.522
right-front 312 419 0.913 0.453 0.596 0.539
right-side 312 243 0.921 0.580 0.688 0.640
right-back 312 86 0.840 0.547 0.669 0.583
back 312 127 0.863 0.362 0.508 0.435
left-back 312 90 0.950 0.426 0.536 0.486
left-side 312 272 0.883 0.419 0.555 0.505
left-front 312 462 0.776 0.303 0.426 0.381
face 312 1036 0.944 0.830 0.896 0.744
eye 312 1101 0.810 0.287 0.413 0.190
nose 312 923 0.890 0.532 0.650 0.375
mouth 312 789 0.822 0.402 0.522 0.272
ear 312 892 0.835 0.442 0.564 0.336
collarbone 312 2272 0.612 0.260 0.314 0.133
shoulder 312 3234 0.795 0.499 0.600 0.335
solar_plexus 312 1570 0.555 0.280 0.302 0.134
elbow 312 1886 0.756 0.492 0.565 0.318
wrist 312 1598 0.741 0.382 0.443 0.203
hand 312 1292 0.959 0.620 0.824 0.652
hand_left 312 652 0.943 0.604 0.788 0.635
hand_right 312 640 0.931 0.575 0.760 0.599
abdomen 312 1029 0.614 0.415 0.453 0.228
hip_joint 312 1801 0.676 0.484 0.524 0.283
knee 312 1454 0.753 0.554 0.628 0.362
ankle 312 1185 0.705 0.491 0.533 0.258
foot 312 1120 0.880 0.792 0.851 0.644
E - 1200
Class Images Instances P R mAP50 mAP50-95
all 469 46122 0.835 0.592 0.681 0.514
body 469 2916 0.960 0.817 0.940 0.843
adult 469 2298 0.943 0.767 0.918 0.842
child 469 299 0.926 0.846 0.906 0.873
male 469 1518 0.920 0.848 0.938 0.864
female 469 710 0.922 0.861 0.937 0.869
head 469 2573 0.937 0.891 0.946 0.777
front 469 485 0.865 0.551 0.677 0.602
right-front 469 443 0.799 0.549 0.660 0.596
right-side 469 350 0.919 0.600 0.731 0.646
right-back 469 164 0.821 0.543 0.657 0.564
back 469 201 0.889 0.359 0.530 0.430
left-back 469 105 0.860 0.467 0.543 0.488
left-side 469 369 0.883 0.469 0.612 0.541
left-front 469 456 0.831 0.443 0.561 0.498
face 469 1370 0.940 0.910 0.943 0.778
eye 469 1330 0.827 0.447 0.544 0.261
nose 469 1210 0.875 0.607 0.692 0.423
mouth 469 1002 0.789 0.536 0.599 0.327
ear 469 1121 0.837 0.590 0.673 0.421
collarbone 469 2471 0.621 0.384 0.405 0.169
shoulder 469 3753 0.760 0.576 0.639 0.346
solar_plexus 469 2130 0.567 0.344 0.353 0.151
elbow 469 2571 0.757 0.485 0.541 0.309
wrist 469 2290 0.743 0.400 0.439 0.208
hand 469 1927 0.925 0.645 0.828 0.638
hand_left 469 982 0.935 0.610 0.783 0.622
hand_right 469 945 0.941 0.590 0.763 0.597
abdomen 469 1701 0.682 0.515 0.558 0.302
hip_joint 469 2936 0.669 0.474 0.509 0.279
knee 469 2046 0.748 0.528 0.593 0.322
ankle 469 1793 0.735 0.504 0.545 0.245
foot 469 1657 0.895 0.772 0.847 0.613
E - 1200-fine
Class Images Instances P R mAP50 mAP50-95
all 470 47921 0.845 0.578 0.675 0.522
body 470 3212 0.941 0.776 0.883 0.801
adult 470 2325 0.951 0.760 0.874 0.823
child 470 329 0.924 0.772 0.842 0.802
male 470 1645 0.939 0.757 0.861 0.817
female 470 728 0.959 0.777 0.878 0.826
body_with_wheelchair 470 1 0.620 1.000 0.995 0.995
head 470 2633 0.947 0.864 0.929 0.780
front 470 580 0.882 0.478 0.635 0.572
right-front 470 511 0.854 0.479 0.586 0.524
right-side 470 348 0.927 0.532 0.659 0.599
right-back 470 133 0.821 0.624 0.699 0.637
back 470 167 0.895 0.358 0.524 0.443
left-back 470 88 0.838 0.534 0.599 0.531
left-side 470 320 0.926 0.549 0.661 0.589
left-front 470 486 0.867 0.496 0.614 0.557
face 470 1591 0.953 0.858 0.915 0.744
eye 470 1334 0.833 0.379 0.506 0.231
nose 470 1373 0.909 0.523 0.641 0.388
mouth 470 1081 0.835 0.468 0.571 0.302
ear 470 1204 0.852 0.513 0.622 0.401
collarbone 470 2475 0.659 0.362 0.406 0.165
shoulder 470 4263 0.791 0.544 0.622 0.338
solar_plexus 470 2082 0.587 0.310 0.332 0.142
elbow 470 2797 0.788 0.489 0.568 0.322
wrist 470 2289 0.760 0.385 0.450 0.216
hand 470 1915 0.953 0.614 0.817 0.654
hand_left 470 944 0.946 0.607 0.785 0.624
hand_right 470 971 0.948 0.607 0.786 0.625
abdomen 470 1656 0.709 0.461 0.524 0.287
hip_joint 470 2895 0.679 0.432 0.483 0.262
knee 470 2236 0.762 0.519 0.598 0.334
ankle 470 1736 0.731 0.485 0.543 0.260
foot 470 1573 0.897 0.776 0.855 0.629
python val_dual.py \
--data data/original_34.yaml \
--img 640 \
--batch 16 \
--conf 0.001 \
--iou 0.7 \
--max-det 1000 \
--device 0 \
--weights runs/train/yolov9-wholebody34-e/weights/best.pt \
--name yolov9_e_640_val