File size: 1,487 Bytes
2cf7a09 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | from mmcv import load
import sys
# Note: please adjust the relative path according to the actual situation.
sys.path.append('../..')
from aclnet.smp import *
j_1 = load('j_1/best_pred.pkl')
b_1 = load('b_1/best_pred.pkl')
k_1 = load('k_1/best_pred.pkl')
jm = load('jm/best_pred.pkl')
bm = load('bm/best_pred.pkl')
km = load('km/best_pred.pkl')
j_2 = load('j_2/best_pred.pkl')
b_2 = load('b_2/best_pred.pkl')
k_2 = load('k_2/best_pred.pkl')
j_3 = load('j_3/best_pred.pkl')
b_3 = load('b_3/best_pred.pkl')
k_3 = load('k_3/best_pred.pkl')
label = load_label('/data/nturgbd/ntu60_3danno.pkl', 'xview_val')
"""
***************
InfoGCN v0:
j jm b bm k km
2S: 97.26
4S: 97.49
6S: 97.78
***************
"""
print('InfoGCN v0:')
print('j jm b bm k km')
print('2S')
fused = comb([j_1, b_1], [1, 1])
print('Top-1', top1(fused, label))
print('4S')
fused = comb([j_1, b_1, jm, bm], [2, 2, 1, 1])
print('Top-1', top1(fused, label))
print('6S')
fused = comb([j_1, b_1, k_1, jm, bm, km], [5, 5, 5, 3, 3, 3])
print('Top-1', top1(fused, label))
"""
***************
HD-GCN v1:
j b j b j b
2S: 97.26
4S: 97.63
6S: 97.74
***************
"""
print('HD-GCN v1:')
print('j b j b j b')
print('2S')
fused = comb([j_1, b_1], [1, 1])
print('Top-1', top1(fused, label))
print('4S')
fused = comb([j_1, b_1, j_2, b_2], [7, 7, 5, 5])
print('Top-1', top1(fused, label))
print('6S')
fused = comb([j_1, b_1, j_2, b_2, j_3, b_3], [7, 7, 5, 5, 2, 2])
print('Top-1', top1(fused, label))
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