matching score bias for invisible points

[reutMuchtar]

hello and thanks for this useful code

I have a question regarding the matching score check for both invisible gt and pred points the matching distance is set to 0 : euclidean_dist[both_invisible_indices] = 0 and the cost for matching is set as: cost_ = np.sum(euclidean_dist) however the matching score threshold is set to number of all points multiply by dist_th but invisible points distance is set to zero, causing higher threshold for shorter lanes match_results[i, 2] < self.dist_th * self.y_samples.shape[0]

what have I missed here ?