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remove cfp_ff, do ver on flip only

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Jia Guo
2017-12-08 22:24:29 +08:00
parent ae8766a4eb
commit 599c3834bd
2 changed files with 6 additions and 3 deletions
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7
src/eval/verification.py
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@@ -235,8 +235,11 @@ def test(data_set, mx_model, batch_size):
embeddings = embeddings_list[0].copy()
embeddings = sklearn.preprocessing.normalize(embeddings)
_, _, accuracy, val, val_std, far = evaluate(embeddings, issame_list, nrof_folds=10)
acc1, std1 = np.mean(accuracy), np.std(accuracy)
acc1 = 0.0
std1 = 0.0
#_, _, accuracy, val, val_std, far = evaluate(embeddings, issame_list, nrof_folds=10)
#acc1, std1 = np.mean(accuracy), np.std(accuracy)
#print('Validation rate: %2.5f+-%2.5f @ FAR=%2.5f' % (val, val_std, far))
#embeddings = np.concatenate(embeddings_list, axis=1)
embeddings = embeddings_list[0] + embeddings_list[1]

2
src/train_softmax.py
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@@ -416,7 +416,7 @@ def train_net(args):
ver_list = []
ver_name_list = []
for name in ['lfw','cfp_ff','cfp_fp','agedb_30']:
for name in ['lfw','cfp_fp','agedb_30']:
path = os.path.join(args.data_dir,name+".bin")
if os.path.exists(path):
data_set = verification.load_bin(path, image_size)