def test(net: EMGClassifier, gesture_amount, gesture_indices: list):
test_set = CSLDataset(gesture=gesture_amount,
frame_x=True,
sequence_len=10,
train=False)
avg_score = net.test_model(gesture_indices, test_set)
print('test accuracy: {:.4f}'.format(avg_score))
return net
def test(net: EMGClassifier, gesture_indices: list):
test_set = CapgDataset(gestures_label_map=net.gesture_map,
sequence_len=1,
frame_x=True,
gesture_list=gesture_indices,
train=False)
avg_score, matrix = net.test_model(gesture_indices, test_set)
print('test accuracy: {:.4f}'.format(avg_score))
return matrix
def test(net: EMGClassifier, gesture_indices: list):
if net.hyperparamters['dataset'] == 'capg':
test_set = CapgDataset(gestures_label_map=net.gesture_map,
sequence_len=1,
gesture_list=gesture_indices,
train=False)
else:
test_set = CSLDataset(gesture=8,
sequence_len=1,
train=False)
avg_score, matrix = net.test_model(gesture_indices, test_set)
print('test accuracy: {:.4f}'.format(avg_score))
return matrix