def flip_predictions(predictions, shapes):
flipped_preds = []
for pred, shape in zip(predictions, shapes):
pred = menpo.shape.PointCloud(pred)
pred = utils.mirror_landmarks_68(pred, shape)
flipped_preds.append(pred.points)
return np.array(flipped_preds, np.float32)
def flip_predictions(predictions, shapes):
flipped_preds = []
for pred, shape in zip(predictions, shapes):
pred = menpo.shape.PointCloud(pred)
pred = utils.mirror_landmarks_68(pred, shape)
flipped_preds.append(pred.points)
return np.array(flipped_preds, np.float32)
def flip_predictions(predictions, shapes):
flipped_preds = []
for pred, shape in zip(predictions, shapes):
pred = PointCloud(pred)
if pred.points.shape[0] == 68:
pred = utils.mirror_landmarks_68(pred, shape)
elif pred.points.shape[0] == 73:
pred = utils.mirror_landmarks_73(pred, shape)
flipped_preds.append(pred.points)
return np.array(flipped_preds, np.float32)