def ver_test(nbatch):
results = []
for i in xrange(len(ver_list)):
acc1, std1, acc2, std2, xnorm, embeddings_list = verification.test(ver_list[i], model, args.batch_size, 10, None, None)
print('[%s][%d]XNorm: %f' % (ver_name_list[i], nbatch, xnorm))
#print('[%s][%d]Accuracy: %1.5f+-%1.5f' % (ver_name_list[i], nbatch, acc1, std1))
print('[%s][%d]Accuracy-Flip: %1.5f+-%1.5f' % (ver_name_list[i], nbatch, acc2, std2))
results.append(acc2)
return results
def ver_test(nbatch):
results = []
for i in range(len(ver_list)):
acc1, std1, acc2, std2, xnorm, embeddings_list = verification.test(
ver_list[i], model, args.batch_size, 10, None, None)
print('[%s][%d]XNorm: %f' % (ver_name_list[i], nbatch, xnorm))
#print('[%s][%d]Accuracy: %1.5f+-%1.5f' % (ver_name_list[i], nbatch, acc1, std1))
print('[%s][%d]Accuracy-Flip: %1.5f+-%1.5f' %
(ver_name_list[i], nbatch, acc2, std2))
results.append(acc2)
return results
def ver_test(nbatch):
results = []
for i in range(len(ver_list)):
acc1, std1, acc2, std2, xnorm, embeddings_list = verification.test(
ver_list[i], model, args.batch_size, 10, None, None)
logging.info('[{}][{}]XNorm: {:f}'.format(ver_name_list[i], nbatch,
xnorm))
# logging.info('[%s][%d]Accuracy: %1.5f+-%1.5f' % (ver_name_list[i], nbatch, acc1, std1))
logging.info('[{}][{}]Accuracy-Flip: {:0.5f}+-{:0.5f}'.format(
ver_name_list[i], nbatch, acc2, std2))
results.append(acc2)
return results
def ver_test(nbatch):
results = []
for i in xrange(len(ver_list)):
(_, _, acc2, std2, xnorm, embeddings_list, val,
val_std) = verification.test(ver_list[i], model, args.batch_size,
10, None, None)
print('[%s][%d]XNorm: %f' % (ver_name_list[i], nbatch, xnorm))
print('[%s][%d]Accuracy-Flip: %1.5f+-%1.5f' %
(ver_name_list[i], nbatch, acc2, std2))
print('[%s][%d]Validation Rate: %1.5f+-%1.5f' %
(ver_name_list[i], nbatch, val, val_std))
results.append(acc2)
return results
def ver_test(nbatch):
results = []
for i in range(len(ver_list)):
acc1, std1, acc2, std2, xnorm, embeddings_list = verification.test(
ver_list[i], model, args.batch_size, 10, None, None)
print('[%s][%d]XNorm: %f' % (ver_name_list[i], nbatch, xnorm))
print('[%s][%d]Accuracy-Flip: %1.5f+-%1.5f' %
(ver_name_list[i], nbatch, acc2, std2))
results.append(acc2)
'''start catch testing'''
eval_1vsN.catch_test(model, card_root, catch_root, distractor_root,
config.batch_size)
# eval_1vsN.mask_test(model, card_mask, catch_mask, distractor_mask)
return results
def ver_test(nbatch):
results = []
for i in xrange(len(ver_list)):
acc1, std1, acc2, std2, xnorm, embeddings_list = verification.test(
ver_list[i], model, args.batch_size, 10, None, None)
print('[%s][%d]XNorm: %f' % (ver_name_list[i], nbatch, xnorm))
sw.add_scalar(tag='%s/XNorm' % ver_name_list[i],
value=xnorm,
global_step=nbatch) ####LX
#print('[%s][%d]Accuracy: %1.5f+-%1.5f' % (ver_name_list[i], nbatch, acc1, std1))
print('[%s][%d]Accuracy-Flip: %1.5f+-%1.5f' %
(ver_name_list[i], nbatch, acc2, std2))
sw.add_scalar(tag='%s/acc' % ver_name_list[i],
value=acc2,
global_step=nbatch) ####LX
results.append(acc2)
return results
