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SkeletonAgent

Video Classification
PyTorch
skeleton-based-action-recognition
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  1. ntu60_xsub/b_1/20250525_201724.log +0 -0
  2. ntu60_xsub/b_1/best_pred.pkl +3 -0
  3. ntu60_xsub/b_1/best_top1_acc_epoch_136.pth +3 -0
  4. ntu60_xsub/b_2/20250525_201821.log +0 -0
  5. ntu60_xsub/b_2/best_pred.pkl +3 -0
  6. ntu60_xsub/b_2/best_top1_acc_epoch_145.pth +3 -0
  7. ntu60_xsub/bm/20250428_141310.log +0 -0
  8. ntu60_xsub/bm/best_pred.pkl +3 -0
  9. ntu60_xsub/bm/best_top1_acc_epoch_149.pth +3 -0
  10. ntu60_xsub/j_1/20250525_202026.log +0 -0
  11. ntu60_xsub/j_1/best_pred.pkl +3 -0
  12. ntu60_xsub/j_1/best_top1_acc_epoch_145.pth +3 -0
  13. ntu60_xsub/j_2/20250525_201954.log +0 -0
  14. ntu60_xsub/j_2/best_pred.pkl +3 -0
  15. ntu60_xsub/j_2/best_top1_acc_epoch_143.pth +3 -0
  16. ntu60_xsub/jm/20250528_102204.log +0 -0
  17. ntu60_xsub/jm/best_pred.pkl +3 -0
  18. ntu60_xsub/jm/best_top1_acc_epoch_150.pth +3 -0
  19. ntu60_xsub/k_1/20250513_145433.log +0 -0
  20. ntu60_xsub/k_1/best_pred.pkl +3 -0
  21. ntu60_xsub/k_1/best_top1_acc_epoch_146.pth +3 -0
  22. ntu60_xsub/k_2/20250528_101943.log +0 -0
  23. ntu60_xsub/k_2/best_pred.pkl +3 -0
  24. ntu60_xsub/k_2/best_top1_acc_epoch_150.pth +3 -0
  25. ntu60_xsub/km/20250428_141354.log +0 -0
  26. ntu60_xsub/km/best_pred.pkl +3 -0
  27. ntu60_xsub/km/best_top1_acc_epoch_145.pth +3 -0
  28. ntu60_xsub/ntu60_xsub_ensemble.py +65 -0
  29. ntu60_xview/b_1/20250530_181253.log +0 -0
  30. ntu60_xview/b_1/best_pred.pkl +3 -0
  31. ntu60_xview/b_1/best_top1_acc_epoch_150.pth +3 -0
  32. ntu60_xview/b_2/20250530_181218.log +0 -0
  33. ntu60_xview/b_2/best_pred.pkl +3 -0
  34. ntu60_xview/b_2/best_top1_acc_epoch_139.pth +3 -0
  35. ntu60_xview/bm/20250430_164902.log +0 -0
  36. ntu60_xview/bm/best_pred.pkl +3 -0
  37. ntu60_xview/bm/best_top1_acc_epoch_142.pth +3 -0
  38. ntu60_xview/j_1/20250530_181353.log +0 -0
  39. ntu60_xview/j_1/best_pred.pkl +3 -0
  40. ntu60_xview/j_1/best_top1_acc_epoch_149.pth +3 -0
  41. ntu60_xview/j_2/20250530_181434.log +0 -0
  42. ntu60_xview/j_2/best_pred.pkl +3 -0
  43. ntu60_xview/j_2/best_top1_acc_epoch_145.pth +3 -0
  44. ntu60_xview/jm/20250430_164928.log +0 -0
  45. ntu60_xview/jm/best_pred.pkl +3 -0
  46. ntu60_xview/jm/best_top1_acc_epoch_145.pth +3 -0
  47. ntu60_xview/k_1/20250602_201553.log +0 -0
  48. ntu60_xview/k_1/best_pred.pkl +3 -0
  49. ntu60_xview/k_1/best_top1_acc_epoch_146.pth +3 -0
  50. ntu60_xview/k_2/20250602_201646.log +0 -0
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1
+ from mmcv import load
2
+ import sys
3
+ # Note: please adjust the relative path according to the actual situation.
4
+ sys.path.append('../..')
5
+ from skeletonagent.smp import *
6
+
7
+
8
+ j_1 = load('j_1/best_pred.pkl')
9
+ b_1 = load('b_1/best_pred.pkl')
10
+ k_1 = load('k_1/best_pred.pkl')
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+ j_2 = load('j_2/best_pred.pkl')
12
+ b_2 = load('b_2/best_pred.pkl')
13
+ k_2 = load('k_2/best_pred.pkl')
14
+ jm = load('jm/best_pred.pkl')
15
+ bm = load('bm/best_pred.pkl')
16
+ km = load('km/best_pred.pkl')
17
+ label = load_label('/data/nturgbd/ntu60_3danno.pkl', 'xsub_val')
18
+
19
+
20
+ """
21
+ ***************
22
+ InfoGCN v0:
23
+ j jm b bm k km
24
+ 2S: 94.01
25
+ 4S: 94.15
26
+ 6S: 94.41
27
+ ***************
28
+ """
29
+ print('InfoGCN v0:')
30
+ print('j jm b bm k km')
31
+ print('2S')
32
+ fused = comb([j_1, b_1], [1, 1])
33
+ print('Top-1', top1(fused, label))
34
+
35
+ print('4S')
36
+ fused = comb([j_1, b_1, jm, bm], [2, 2, 1, 1])
37
+ print('Top-1', top1(fused, label))
38
+
39
+ print('6S')
40
+ fused = comb([j_1, b_1, k_1, jm, bm, km], [8, 8, 8, 3, 3, 3])
41
+ print('Top-1', top1(fused, label))
42
+
43
+
44
+ """
45
+ ***************
46
+ InfoGCN v1:
47
+ j j b b k k
48
+ 2S: 94.01
49
+ 4S: 94.30
50
+ 6S: 94.51
51
+ ***************
52
+ """
53
+ print('InfoGCN v1:')
54
+ print('j j b b k k')
55
+ print('2S')
56
+ fused = comb([j_1, b_1], [1, 1])
57
+ print('Top-1', top1(fused, label))
58
+
59
+ print('4S')
60
+ fused = comb([j_1, j_2, b_1, b_2], [1, 1, 1, 1])
61
+ print('Top-1', top1(fused, label))
62
+
63
+ print('6S')
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+ fused = comb([j_1, j_2, b_1, b_2, k_1, k_2], [7, 7, 7, 7, 2, 2])
65
+ print('Top-1', top1(fused, label))
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