Code is not present for lip-distance calculations about codetalker HOT 4 CLOSED

import os
import numpy as np


sentence = <sentence name> ## e.g. 'FaceTalk_170809_00138_TA_sentence21.npy'
ours = <path to saved .npy file>
ablation_IN = <path to saved .npy file>
gt = <path to .npy of the dataset>
output_dir = <output path>
vertice_dim = 15069 ## vocaset
upper_pos = 3546 ## vocaset
lower_pos = 3504 ## vocaset, original 2151 is not correct
distance = []
for idx, interpolation_npys_dir in enumerate([ours, ablation_IN, gt]):
    if idx == 2: ## As GT data is with different format
        predicted_vertices = np.load(os.path.join(interpolation_npys_dir, sentence))
        predicted_vertices = np.reshape(predicted_vertices,(-1,vertice_dim//3,3))[::2,...] # [N, V, 3]
    else:
        predicted_vertices = np.load(os.path.join(interpolation_npys_dir, <your own file name when generating and saving this sentence of your model>))
        predicted_vertices = np.reshape(predicted_vertices,(-1,vertice_dim//3,3))

    pos_upper = predicted_vertices[:108,upper_pos,:] # [N, 3]
    pos_lower = predicted_vertices[:108,lower_pos,:] # [N, 3]
    distance.append(np.sqrt(np.sum(np.square(pos_upper-pos_lower), axis=1))) # each is a N vector showing L2 distance

distance = np.array(distance)

np.savetxt(os.path.join('ablation_IN_lip_distance.csv'), distance, delimiter=",")