finegym/finegym_ensemble.py

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/finegym/gym_hrnet.pkl', 'val')


"""
***************
InfoGCN  v0:
j jm b bm k km
2S:     95.48
4S:     95.80
6S:     96.01
***************
"""
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], [9, 9, 5, 5])
print('Top-1', top1(fused, label))

print('6S')
fused = comb([j_1, b_1, k_1, jm, bm, km], [9, 9, 9, 5, 5, 5])
print('Top-1', top1(fused, label))


"""
***************
HD-GCN  v1:
j b j b j b
2S:     95.48
4S:     95.79
6S:     95.93
***************
"""
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], [4, 4, 3, 3])
print('Top-1', top1(fused, label))

print('6S')
fused = comb([j_1, b_1, j_2, b_2, j_3, b_3], [4, 4, 3, 3, 8, 8])
print('Top-1', top1(fused, label))