Open4
YOLOv9-Wholebody17
PINTOnames:
0: body
1: adult
2: child
3: male
4: female
5: body_with_wheelchair
6: body_with_crutches
7: head
8: face
9: eye
10: nose
11: mouth
12: ear
13: hand
14: hand_left
15: hand_right
16: foot
pip install -r requirements.txt
sudo apt-get update
sudo apt-get install -y libgl1-mesa-dev libopencv-dev
python train_dual.py \
--workers 8 \
--device 0 \
--batch 32 \
--data data/original.yaml \
--img 640 \
--cfg models/detect/yolov9-n_original.yaml \
--weights best-n.pt \
--name yolov9-wholebody17-n \
--hyp hyp.scratch-high_original.yaml \
--min-items 0 \
--epochs 100 \
--close-mosaic 15
python train_dual.py \
--workers 8 \
--device 0 \
--batch 16 \
--data data/original.yaml \
--img 640 \
--cfg models/detect/yolov9-t_original.yaml \
--weights best-t.pt \
--name yolov9-wholebody17-t \
--hyp hyp.scratch-high_original.yaml \
--min-items 0 \
--epochs 100 \
--close-mosaic 15
python train_dual.py \
--workers 8 \
--device 0 \
--batch 16 \
--data data/original.yaml \
--img 640 \
--cfg models/detect/yolov9-s_original.yaml \
--weights best-s.pt \
--name yolov9-wholebody17-s \
--hyp hyp.scratch-high_original.yaml \
--min-items 0 \
--epochs 100 \
--close-mosaic 15
python train_dual.py \
--workers 8 \
--device 0 \
--batch 16 \
--data data/original.yaml \
--img 640 \
--cfg models/detect/yolov9-c_original.yaml \
--weights best-c.pt \
--name yolov9-wholebody17-c \
--hyp hyp.scratch-high_original.yaml \
--min-items 0 \
--epochs 100 \
--close-mosaic 15
python train_dual.py \
--workers 8 \
--device 0 \
--batch 16 \
--data data/original.yaml \
--img 640 \
--cfg models/detect/yolov9-e_original.yaml \
--weights best-e.pt \
--name yolov9-wholebody17-e \
--hyp hyp.scratch-high_original.yaml \
--min-items 0 \
--epochs 100 \
--close-mosaic 15
- N
Class Images Instances P R mAP50 mAP50-95
all 2423 103243 0.631 0.452 0.488 0.314
body 2423 15581 0.787 0.468 0.565 0.400
adult 2423 11474 0.702 0.500 0.544 0.407
child 2423 1212 0.437 0.396 0.399 0.284
male 2423 8693 0.636 0.539 0.543 0.401
female 2423 3293 0.420 0.404 0.375 0.285
body_with_wheelchair 2423 169 0.607 0.787 0.794 0.618
body_with_crutches 2423 112 0.605 0.821 0.798 0.631
head 2423 12981 0.750 0.665 0.714 0.471
face 2423 6511 0.805 0.594 0.651 0.410
eye 2423 5436 0.600 0.211 0.234 0.0842
nose 2423 5119 0.632 0.308 0.337 0.159
mouth 2423 4162 0.563 0.278 0.293 0.112
ear 2423 5149 0.634 0.310 0.348 0.170
hand 2423 8124 0.764 0.407 0.513 0.270
hand_left 2423 4139 0.594 0.269 0.364 0.198
hand_right 2423 3985 0.617 0.282 0.368 0.200
foot 2423 7103 0.581 0.439 0.461 0.233
- T - Swish
Class Images Instances P R mAP50 mAP50-95
all 2423 103243 0.74 0.552 0.614 0.434
body 2423 15581 0.857 0.553 0.658 0.508
adult 2423 11474 0.787 0.572 0.638 0.525
child 2423 1212 0.526 0.495 0.517 0.436
male 2423 8693 0.712 0.616 0.650 0.528
female 2423 3293 0.571 0.517 0.542 0.451
body_with_wheelchair 2423 169 0.848 0.894 0.938 0.831
body_with_crutches 2423 112 0.750 0.857 0.888 0.833
head 2423 12981 0.823 0.752 0.800 0.552
face 2423 6511 0.856 0.693 0.755 0.517
eye 2423 5436 0.675 0.284 0.339 0.132
nose 2423 5119 0.728 0.422 0.479 0.245
mouth 2423 4162 0.689 0.367 0.410 0.179
ear 2423 5149 0.733 0.409 0.459 0.235
hand 2423 8124 0.875 0.541 0.675 0.402
hand_left 2423 4139 0.736 0.425 0.541 0.333
hand_right 2423 3985 0.721 0.436 0.539 0.332
foot 2423 7103 0.690 0.554 0.604 0.340
- T - ReLU
Class Images Instances P R mAP50 mAP50-95
all 2423 103243 0.718 0.533 0.590 0.409
body 2423 15581 0.852 0.535 0.640 0.486
adult 2423 11474 0.772 0.561 0.616 0.497
child 2423 1212 0.481 0.434 0.453 0.380
male 2423 8693 0.700 0.596 0.624 0.498
female 2423 3293 0.525 0.494 0.504 0.413
body_with_wheelchair 2423 169 0.830 0.898 0.938 0.800
body_with_crutches 2423 112 0.673 0.865 0.878 0.799
head 2423 12981 0.806 0.739 0.787 0.537
face 2423 6511 0.849 0.689 0.751 0.504
eye 2423 5436 0.672 0.269 0.320 0.122
nose 2423 5119 0.723 0.404 0.458 0.227
mouth 2423 4162 0.654 0.353 0.390 0.167
ear 2423 5149 0.725 0.386 0.434 0.220
hand 2423 8124 0.853 0.515 0.645 0.375
hand_left 2423 4139 0.710 0.395 0.506 0.305
hand_right 2423 3985 0.703 0.407 0.509 0.307
foot 2423 7103 0.671 0.528 0.574 0.318
- S
Class Images Instances P R mAP50 mAP50-95
all 2423 103243 0.819 0.623 0.698 0.521
body 2423 15581 0.893 0.604 0.708 0.581
adult 2423 11474 0.857 0.611 0.707 0.616
child 2423 1212 0.704 0.621 0.676 0.604
male 2423 8693 0.790 0.674 0.731 0.624
female 2423 3293 0.710 0.617 0.670 0.585
body_with_wheelchair 2423 169 0.921 0.923 0.963 0.891
body_with_crutches 2423 112 0.878 0.884 0.922 0.891
head 2423 12981 0.854 0.803 0.850 0.613
face 2423 6511 0.897 0.708 0.779 0.584
eye 2423 5436 0.739 0.328 0.414 0.174
nose 2423 5119 0.818 0.490 0.561 0.309
mouth 2423 4162 0.779 0.438 0.506 0.239
ear 2423 5149 0.766 0.478 0.536 0.294
hand 2423 8124 0.907 0.654 0.774 0.509
hand_left 2423 4139 0.826 0.551 0.677 0.451
hand_right 2423 3985 0.825 0.560 0.680 0.455
foot 2423 7103 0.758 0.651 0.706 0.433
- C
Class Images Instances P R mAP50 mAP50-95
all 2423 103243 0.869 0.656 0.747 0.581
body 2423 15581 0.918 0.639 0.748 0.638
adult 2423 11474 0.894 0.627 0.746 0.676
child 2423 1212 0.789 0.673 0.746 0.689
male 2423 8693 0.856 0.704 0.780 0.692
female 2423 3293 0.835 0.660 0.740 0.667
body_with_wheelchair 2423 169 0.937 0.947 0.977 0.904
body_with_crutches 2423 112 0.957 0.893 0.939 0.920
head 2423 12981 0.884 0.832 0.881 0.666
face 2423 6511 0.911 0.774 0.842 0.655
eye 2423 5436 0.757 0.371 0.462 0.206
nose 2423 5119 0.870 0.541 0.616 0.362
mouth 2423 4162 0.799 0.498 0.570 0.287
ear 2423 5149 0.819 0.528 0.603 0.346
hand 2423 8124 0.924 0.626 0.811 0.581
hand_left 2423 4139 0.902 0.562 0.736 0.536
hand_right 2423 3985 0.896 0.577 0.742 0.536
foot 2423 7103 0.830 0.711 0.770 0.509
- E
Class Images Instances P R mAP50 mAP50-95
all 2423 103243 0.885 0.697 0.790 0.634
body 2423 15581 0.923 0.667 0.775 0.684
adult 2423 11474 0.921 0.643 0.778 0.724
child 2423 1212 0.825 0.721 0.782 0.739
male 2423 8693 0.879 0.718 0.800 0.731
female 2423 3293 0.860 0.688 0.769 0.708
body_with_wheelchair 2423 169 0.926 0.964 0.982 0.927
body_with_crutches 2423 112 0.955 0.940 0.982 0.969
head 2423 12981 0.888 0.853 0.899 0.710
face 2423 6511 0.915 0.802 0.868 0.704
eye 2423 5436 0.806 0.441 0.549 0.262
nose 2423 5119 0.884 0.595 0.682 0.427
mouth 2423 4162 0.831 0.554 0.643 0.351
ear 2423 5149 0.847 0.591 0.666 0.412
hand 2423 8124 0.928 0.668 0.847 0.641
hand_left 2423 4139 0.909 0.611 0.788 0.599
hand_right 2423 3985 0.904 0.626 0.789 0.602
foot 2423 7103 0.842 0.769 0.826 0.582
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