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fixed verification callback error #13

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fixed verification callback error #13

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8 changes: 5 additions & 3 deletions eval/verification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -197,7 +197,8 @@ def evaluate(embeddings, actual_issame, nrof_folds=10, pca=0):
return tpr, fpr, accuracy, val, val_std, far

@torch.no_grad()
def load_bin(path, image_size):
def load_bin(path, image_size):\
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
try:
with open(path, 'rb') as f:
bins, issame_list = pickle.load(f) # py2
Expand All @@ -217,14 +218,15 @@ def load_bin(path, image_size):
for flip in [0, 1]:
if flip == 1:
img = mx.ndarray.flip(data=img, axis=2)
data_list[flip][idx][:] = torch.from_numpy(img.asnumpy())
data_list[flip][idx][:] = torch.from_numpy(img.asnumpy()).float().to(device)
if idx % 1000 == 0:
print('loading bin', idx)
print(data_list[0].shape)
return data_list, issame_list

@torch.no_grad()
def test(data_set, backbone, batch_size, nfolds=10):
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
print('testing verification..')
data_list = data_set[0]
issame_list = data_set[1]
Expand All @@ -240,7 +242,7 @@ def test(data_set, backbone, batch_size, nfolds=10):
_data = data[bb - batch_size: bb]
time0 = datetime.datetime.now()
img = ((_data / 255) - 0.5) / 0.5
net_out: torch.Tensor = backbone(img)
net_out: torch.cuda.Tensor = backbone(img.float().to(device))
_embeddings = net_out.detach().cpu().numpy()
time_now = datetime.datetime.now()
diff = time_now - time0
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