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 protogcn.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')
j_2 = load('j_2/best_pred.pkl')
b_2 = load('b_2/best_pred.pkl')
k_2 = load('k_2/best_pred.pkl')
jm = load('jm/best_pred.pkl')
bm = load('bm/best_pred.pkl')
km = load('km/best_pred.pkl')
label = load_label('/data/finegym/gym_hrnet.pkl', 'val')


"""
***************
InfoGCN  v0:
j jm b bm k km
2S:     95.35
4S:     95.92
6S:     95.92
***************
"""
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], [2, 2, 0, 1, 1, 0])
print('Top-1', top1(fused, label))


"""
***************
InfoGCN  v1:
j j b b k k
2S:     95.35
4S:     95.62
6S:     95.94
***************
"""
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('4S')
fused = comb([j_1, b_1, j_2, b_2], [1, 1, 1, 1])
print('Top-1', top1(fused, label))

print('6S')
fused = comb([j_1, j_2, b_1, b_2, k_1, k_2], [5, 5, 5, 5, 4, 4])
print('Top-1', top1(fused, label))