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/k400/k400_hrnet.pkl', 'val')


"""
***************
InfoGCN  v1:
j j b b k k
2S:     50.35 / 74.18
4S:     51.33 / 75.36
6S:     51.99 / 75.60
***************
"""
print('InfoGCN  v1:')
print('j j b b k k')
print('2S')
fused = comb([j_1, b_1], [1, 1])
print('Top-1', top1(fused, label))
print('Top-5', topk(fused, label, 5))

print('4S')
fused = comb([j_1, b_1, j_2, b_2], [1, 1, 1, 1])
print('Top-1', top1(fused, label))
print('Top-5', topk(fused, label, 5))

print('6S')
fused = comb([j_1, j_2, b_1, b_2, k_1, k_2], [9, 9, 5, 5, 3, 3])
print('Top-1', top1(fused, label))
print('Top-5', topk(fused, label, 5))


"""
***************
HD-GCN  v1:
j b j b j b
2S:     50.35 / 74.18
4S:     51.50 / 75.36
6S:     52.13 / 75.91
***************
"""
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('Top-5', topk(fused, label, 5))

print('4S')
fused = comb([j_1, b_1, j_2, b_2], [5, 3, 5, 3])
print('Top-1', top1(fused, label))
print('Top-5', topk(fused, label, 5))

print('6S')
fused = comb([j_1, b_1, j_2, b_2, j_3, b_3], [5, 3, 5, 3, 5, 3])
print('Top-1', top1(fused, label))
print('Top-5', topk(fused, label, 5))