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  1. k400/b_1/20250804_072335.log +0 -0
  2. k400/b_1/best_pred.pkl +3 -0
  3. k400/b_1/best_top1_acc_epoch_149.pth +3 -0
  4. k400/b_2/20250804_072504.log +0 -0
  5. k400/b_2/best_pred.pkl +3 -0
  6. k400/b_2/best_top1_acc_epoch_150.pth +3 -0
  7. k400/b_3/20250804_072226.log +0 -0
  8. k400/b_3/best_pred.pkl +3 -0
  9. k400/b_3/best_top1_acc_epoch_146.pth +3 -0
  10. k400/bm/20250812_100058.log +0 -0
  11. k400/bm/best_pred.pkl +3 -0
  12. k400/bm/best_top1_acc_epoch_148.pth +3 -0
  13. k400/j_1/20250724_105956.log +0 -0
  14. k400/j_1/best_pred.pkl +3 -0
  15. k400/j_1/best_top1_acc_epoch_150.pth +3 -0
  16. k400/j_2/20250804_152054.log +0 -0
  17. k400/j_2/best_pred.pkl +3 -0
  18. k400/j_2/best_top1_acc_epoch_150.pth +3 -0
  19. k400/j_3/20250804_151424.log +0 -0
  20. k400/j_3/best_pred.pkl +3 -0
  21. k400/j_3/best_top1_acc_epoch_148.pth +3 -0
  22. k400/jm/20250812_100202.log +0 -0
  23. k400/jm/best_pred.pkl +3 -0
  24. k400/jm/best_top1_acc_epoch_150.pth +3 -0
  25. k400/k400_ensemble.py +71 -0
  26. k400/k_1/20250812_020624.log +0 -0
  27. k400/k_1/best_pred.pkl +3 -0
  28. k400/k_1/best_top1_acc_epoch_150.pth +3 -0
  29. k400/k_2/20250812_020528.log +0 -0
  30. k400/k_2/best_pred.pkl +3 -0
  31. k400/k_2/best_top1_acc_epoch_150.pth +3 -0
  32. k400/k_3/20250812_020417.log +0 -0
  33. k400/k_3/best_pred.pkl +3 -0
  34. k400/k_3/best_top1_acc_epoch_148.pth +3 -0
  35. k400/km/20250812_100255.log +0 -0
  36. k400/km/best_pred.pkl +3 -0
  37. k400/km/best_top1_acc_epoch_150.pth +3 -0
  38. uav_csv1/b_1/20250602_123902.log +0 -0
  39. uav_csv1/b_1/best_pred.pkl +3 -0
  40. uav_csv1/b_1/best_top1_acc_epoch_299.pth +3 -0
  41. uav_csv1/b_2/20250602_123942.log +0 -0
  42. uav_csv1/b_2/best_pred.pkl +3 -0
  43. uav_csv1/b_2/best_top1_acc_epoch_300.pth +3 -0
  44. uav_csv1/bm/20250505_145928.log +0 -0
  45. uav_csv1/bm/best_pred.pkl +3 -0
  46. uav_csv1/bm/best_top1_acc_epoch_300.pth +3 -0
  47. uav_csv1/j_1/20250601_160159.log +0 -0
  48. uav_csv1/j_1/best_pred.pkl +3 -0
  49. uav_csv1/j_1/best_top1_acc_epoch_300.pth +3 -0
  50. uav_csv1/j_2/20250601_160537.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')
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+ k_1 = load('k_1/best_pred.pkl')
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+ j_2 = load('j_2/best_pred.pkl')
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+ b_2 = load('b_2/best_pred.pkl')
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+ k_2 = load('k_2/best_pred.pkl')
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+ j_3 = load('j_3/best_pred.pkl')
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+ b_3 = load('b_3/best_pred.pkl')
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+ k_3 = load('k_3/best_pred.pkl')
17
+ label = load_label('/data/k400/k400_hrnet.pkl', 'val')
18
+
19
+
20
+ """
21
+ ***************
22
+ InfoGCN v1:
23
+ j j b b k k
24
+ 2S: 52.24 / 75.93
25
+ 4S: 53.05 / 76.63
26
+ 6S: 53.49 / 76.72
27
+ ***************
28
+ """
29
+ print('InfoGCN v1:')
30
+ print('j j b b k k')
31
+ print('2S')
32
+ fused = comb([j_1, b_1], [1, 1])
33
+ print('Top-1', top1(fused, label))
34
+ print('Top-5', topk(fused, label, 5))
35
+
36
+ print('4S')
37
+ fused = comb([j_1, j_3, b_1, b_2], [1, 1, 1, 1])
38
+ print('Top-1', top1(fused, label))
39
+ print('Top-5', topk(fused, label, 5))
40
+
41
+ print('6S')
42
+ fused = comb([j_1, j_3, b_1, b_2, k_1, k_3], [6, 6, 2, 2, 3, 3])
43
+ print('Top-1', top1(fused, label))
44
+ print('Top-5', topk(fused, label, 5))
45
+
46
+
47
+ """
48
+ ***************
49
+ InfoGCN v2:
50
+ j j j b b b
51
+ 2S: 52.24 / 75.93
52
+ 4S: 52.98 / 76.79
53
+ 6S: 53.57 / 77.02
54
+ ***************
55
+ """
56
+ print('InfoGCN v2:')
57
+ print('j b j b j b')
58
+ print('2S')
59
+ fused = comb([j_1, b_1], [1, 1])
60
+ print('Top-1', top1(fused, label))
61
+ print('Top-5', topk(fused, label, 5))
62
+
63
+ print('4S')
64
+ fused = comb([j_1, j_2, b_1, b_2], [9, 9, 4, 4])
65
+ print('Top-1', top1(fused, label))
66
+ print('Top-5', topk(fused, label, 5))
67
+
68
+ print('6S')
69
+ fused = comb([j_1, j_2, j_3, b_1, b_2, b_3], [9, 9, 9, 4, 4, 4])
70
+ print('Top-1', top1(fused, label))
71
+ print('Top-5', topk(fused, label, 5))
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